Observation List
Get a list of Observation objects.
### Available end points:
- `/observations/` - Will list all Results in the database
- `/observations.json` - Will return all Results in json format. This can
also be achieved by using the accept header. `application/json`
- `/observations/<object_id>/` - Returns Results object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `title`
- `uuid`
- `keywords`
- `status`
- `result_field`
- `discoveryKeywords`
- `updateFrequency`
- `nonGeographicFlag`
- `publicationState`
- `permissions`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/observations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/observations/?status=completed`
- `/observations/?results_field__dataPath__startswith=/neodc/esacci`
- `/observations/?discoveryKeywords__name=ESACCI`
- `/observations/?nonGeographicFlag=True`
Filters can be stacked to build an 'AND' relationship. E.g.
- `/observations/?publicationState__in=published,citable&nonGeographicFlag=True`
- `/observations/?publicationState__in=published,citable&discoveryKeyword__name=NDGO0003`
GET /api/v2/observations/?format=api&offset=9600
{ "count": 10253, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9700", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9500", "results": [ { "ob_id": 43455, "uuid": "3c65d2da23f144dd85094662e1873de6", "title": "SSP370 data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe ScenarioMIP SSP3-7.0 experiment includes moderate increases in GHG emissions, near constant global SO2 emissions, and small global increases in carbonaceous aerosol.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2026-02-12T09:14:09", "doiPublishedTime": "2026-02-13T12:01:39.613814", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44070/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MOHC/UKESM1-0-LL/ssp370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1677113220376, "numberOfFiles": 1856, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12052/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4684/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/7795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50445/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71618/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71627/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71632/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71659/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/71854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79247/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82152/?format=api" ], "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13708/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44069/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206884/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43456/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2519/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ramip", "label": "restricted: ramip group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43458, "uuid": "a46f24ee00d94490b3dae6d6e58fc23e", "title": "GISS-E2-1-G output prepared for the Regional Aerosol Model Intercomparison Project (RAMIP), Tier 2", "abstract": "This record contains data for Tier 2 simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output from coupled transient simulations with Asian aerosol reductions, reductions in carbonaceous aerosol over Southern Africa, and reductions in carbonaceous aerosol over South Asia. It also contains a coupled transient simulation where global aerosol, nitrate, and NOx follow SSP1-2.6 while other emissions follow SSP3-7.0. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe data are global, gridded data, from 01/01/2015 to 28/02/2051 for the coupled transient simulations.", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12055/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4686/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44057/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206904/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43452/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43467, "uuid": "128cb0c2cf1c43c8a5f0b7ffe58325d0", "title": "Measurements of particle number size distributions, sulfuric acid, and oxygenated organic molecules at five sites", "abstract": "These files contain measurements of the particle number size distribution (PNSD) taken with a suite of instruments explained below, as well as gas phase sulfuric acid (H2SO4), gas phase sulfuric acid (H2SO4 dimer), and oxygenated organic molecules (OOMs) as measured by Nitrate CIMS (Chemical Ionisation Mass Spectrometer).\r\n\r\nThe data were taken at five urban site across Europe. At an urban background site in Manchester, UK (MAN_UB), one at an urban background site and one at a roadside site in Leipzig, Germany (LEJ_UB, LEJ_RS ), one at an urban background site and one at a roadside site in Barcelona, Spain (BCN_UB, BCN_RS).", "keywords": "PNSD,NPF,Aerosol,CIMS,Chemical ionisation,nucleation,growth", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43577/?format=api", "dataPath": "/badc/deposited2025/Urban_Atmosphere_Particle_Formation/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 941740923, "numberOfFiles": 10, "fileFormat": "csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12058/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [], "dataLineage": "All data were collected by James Brean, Alex Rowell, and David C.S. Beddows. The instrument calibrations were performed by James Brean and Alex Rowell. The PNSD data were collected across multiple instruments, data inversion was performed and the data were corrected for line-losses and multiple charges where appropriate. Where multiple columns were used and there were discrepanacies between the magnitudes of the size distribution in the regions with overlap (e.g., long and nanoSMPS), the nanoSMPS was corrected to the longSMPS, and the integrated counts of the resultant PNSD were compared with a CPC if available.\r\n\r\nThe LongSMPS, NanoSMPS, and CPC instruments were intercompared and calibrated at the World Calibration Centre for Aerosol Physics (WCCAP) before deployment in Leipzig, Germany.\r\n\r\nThe CIMS data were mass calibrated, background corrected, and the peak widths were established, and the peak fits were consequently performed in ToFware 3.2.5.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43468/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208060/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206937/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206945/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43469/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43472, "uuid": "df1fb368986e4355beeaa83790fa12af", "title": "EOCIS: Monthly gridded (L3C) atmospheric and surface properties from METOP-A derived using the RAL extended Infrared Microwave Sounder (IMS) retrieval scheme, version ?", "abstract": "This dataset provides monthly gridded (Level 3C) data from the Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) retrieval scheme. \r\n\r\nThis scheme retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounts of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave. Column amounts of the following minor gases are also retrieved: Nitric acid (HNO3), ammonia (NH3), sulfur dioxide (SO2), methanol (CH3OH), formic acid (HCOOH) and (for Suomi-NPP only) isoprene (C5H8).\r\n\r\nIn this dataset, the retrieval scheme has been applied to the infra-red and microwave sounders on the Metop-A satellite (IASI, AMSU and MHS).\r\n\r\nDevelopment of the core IMS scheme was funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. Development of the extended IMS scheme was funded by NCEO. This version of the data was produced as part of the EOCIS project. \r\nData were produced by the Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).”", "keywords": "RAL, IMS, atmospheric and surface properties, METOP-A", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9178/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Development of the IMS scheme and data production were funded by the UK’s National Centre for Earth Observation (NCEO) under the Natural Environment Research Council (NERC), with additional funding from EUMETSAT contract EUM/CO/13/4600001252/THH. This version of the data was produced as part of the Earth Observation Climate Information Service (EOCIS) project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206955/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206965/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43471/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43475, "uuid": "c0b464b3da9845758cd33591e57c4abf", "title": "EOCIS: Ice Sheet Velocity, V1", "abstract": "This dataset contains Ice Sheet Velocity data produced within the Earth Observation Climate Information Service (EOCIS) project by the Satellite Ice Dynamics Group at the University of Leeds. The Antarctic Ice Sheet Ice Velocity product provides annual means of ice speed (ice velocity magnitude) at 250 m resolution for the Antarctic Ice Sheet from 2015 to 2024. This dataset contains the key variables ice speed (annual mean of ice velocity magnitude for the Antarctic Ice Sheet), and ice speed uncertainty (mean uncertainty corresponding to the ice speed measurement). \r\n\r\nThese data are derived from ESA Sentinel-1 SAR Interferometric Wide (IW) mode data and match the spatial footprint of this source. These data cover the margin of the Antarctic Ice Sheet, including ice shelves, north of approximately 78°S.\r\n\r\nAcronyms and/or abbreviations:\r\nAIS - Antarctic Ice Sheet\r\nEOCIS - Earth Observation Climate Information Service\r\nESA - European Space Agency\r\nGIS - Geographic information system\r\nIV - Ice velocity\r\nSAR - Synthetic aperture radar", "keywords": "Antarctic,Ice,Sheet,Velocity,Shelf,speed,annual,EOCIS", "publicationState": "citable", "dataPublishedTime": "2025-04-17T11:46:05", "doiPublishedTime": "2025-04-17T12:22:55", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44009/?format=api", "dataPath": "/neodc/eocis/data/global_and_regional/land_ice/ice_sheet_velocity", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5578584499, "numberOfFiles": 11, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12136/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4703/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/32072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80460/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/80463/?format=api" ], "dataLineage": "This dataset was produced by Satellite Ice Dynamics Group, School of Earth and Environment, University of Leeds in the context of the Earth Observation Climate Information Service project. Processing was performed by GAMMA Remote Sensing.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13316/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209347/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44114/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43476, "uuid": "ccf69c5ea5184721906eb312d37d0673", "title": "EOCIS: CHUK Aerosol Optical Depth, V1.0", "abstract": "This dataset contains Climate High resolution UK Aerosol Optical Depth data produced within the Earth Observation Climate Information Service (EOCIS) project.\r\n\r\nThese data are derived from Swansea University Global Aerosol retrievals (v1.14) for the Sea and Land Surface Temperature Radiometers (SLSTR) on the Sentinel-3A and Sentinel-3B satellites. Original level 2 retrievals in the UK region have been re-projected from the instrument swath onto the Climate High-resolution grid for the UK at 100m resolution and composited over daily and monthly timescales. They contain the aerosol optical depth and the fine-mode aerosol optical depth at 550nm. Two versions of each variable are included: with and without the post-processing filtering that is used in the global dataset.", "keywords": "Aerosol,Optical,depth,UK,SLSTR,Sea,Surface,Temperature,Radiometer,High-resolution,EOCIS", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12069/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4693/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "This dataset was produced by Swansea University in the context of the Earth Observation Climate Information Service project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207002/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43477/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43478, "uuid": "87a379d7fdb34838992eec49c0db8f7e", "title": "EOCIS: Level 2 STFC RAL methane retrievals from IASI on board MetOp-B, version 3.0?", "abstract": "This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4) retrieved from the IASI instrument on the MetOp-B satellite. The data are provided at Level 2 (on the original satellite grid).\r\nIt also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1. This dataset was produced by Version 2.0? of the Rutherford Appleton Laboratory's (RAL's) IASI optimal estimation scheme to retrieve methane, which takes as input temperature and water vapour profiles and surface spectral emissivity pre-retrieved by RAL's Infrared and Microwave Scheme applied to IASI, MHS and AMSU-A on MetOp-B. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels.\r\n\r\nDevelopment of the Version 2.0? scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset 01/2018-03/2021 were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+. EOCIS?\r\n\r\nData were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).", "keywords": "methane, IASI, optimal estimation, retrieval, averaging kernels, assimilation", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9189/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data has been produced by the Rutherford Appleton Laboratory (RAL) Remote Sensing Group (RSG) at the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) and supplied to the Centre for Environmental Data Analysis for long term archiving.\r\n\r\nDevelopment of the Version 2.0 Infrared Atmospheric Sounding Interferometer (IASI) offline thermal infrared methane retrieval scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) were funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset (01/2018-03/2021) were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+.\r\n\r\nEOCIS?", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/34648/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207016/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33464/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43479, "uuid": "a013a904c0024def8871c635c03a638d", "title": "EOCIS: Monthly gridded (L3C) STFC RAL methane retrievals from IASI on board MetOp-B, version 3.0?", "abstract": "This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4) retrieved from the IASI instrument on the MetOp-B satellite. The data are provided as a monthly average and gridded to Level 3C (gridded on a regular lat/lon grid). It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1. This dataset was produced by Version 2.0? of the Rutherford Appleton Laboratory's (RAL's) IASI optimal estimation scheme to retrieve methane, which takes as input temperature and water vapour profiles and surface spectral emissivity pre-retrieved by RAL's Infrared and Microwave Scheme applied to IASI, MHS and AMSU-A on MetOp-B. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels.\r\n\r\nDevelopment of the Version 2.0? scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset 01/2018-03/2021 were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+. EOCIS?\r\n\r\nData were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).", "keywords": "methane, IASI, optimal estimation, retrieval, averaging kernels, assimilation", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9189/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data has been produced by the Rutherford Appleton Laboratory (RAL) Remote Sensing Group (RSG) at the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) and supplied to the Centre for Environmental Data Analysis for long term archiving.\r\n\r\nDevelopment of the Version 2.0 Infrared Atmospheric Sounding Interferometer (IASI) offline thermal infrared methane retrieval scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) were funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset (01/2018-03/2021) were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+.\r\n\r\nEOCIS?", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/34648/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207019/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207020/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207029/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/33464/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43480, "uuid": "acf7170271a84eceadea60900a553198", "title": "EOCIS: Level 2 ozone and other trace gas profiles from the GOME-2 instrument on Metop-A using the RAL retrieval scheme, version ?", "abstract": "This dataset contains ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, derived from radiances measured by the GOME-2 on-board Metop-A. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles. The data are provided at Level 2 (on the satellite measurement grid). Gridded versions of the data are also available as a separate dataset.\r\n\r\nThis version of the data is ?, and has been funded..... (NCEO/CCI/C3S/EOCIS?)", "keywords": "ozone, tropospheric ozone, satellite, observation, global, GOME-2, Metop-A", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11103/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data has been produced under the EOCIS project. 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It is processed with an algorithm using the single channel ESMR data (19.35 GHz), and has been gridded at 25 km grid spacing. 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The images were obtained in an area that included a site disturbed by a deep-sea mining machine in 1979. The mining machine (9 m wide, 14 m long, 4.5 m high) was operated by the Ocean Minerals Company (OMCO) from the ship Hughes Glomar Explorer on the seafloor between 15 and 18 March 1979 at a site centred 13°44'N 126°13.5'W. The videos show the disturbance caused by the past mining activities. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2025-02-11T16:58:53", "doiPublishedTime": "2025-02-11T16:58:53", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43484/?format=api", "dataPath": "/bodc/deposits01/soc250721", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 47926427961, "numberOfFiles": 15, "fileFormat": ".mp4 and .csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12071/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4695/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13240/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207074/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43488, "uuid": "198d56f5fbbf4144b8fd4932328be462", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column averaged carbon dioxide from OCO-2 generated with the FOCAL algorithm, version 11.0", "abstract": "This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (XCO2) data, generated using the fast atmospheric trace gas retrieval for OCO2 (FOCAL-OCO2). The FOCAL-OCO2 algorithm has been setup to retrieve XCO2 by analysing hyper spectral solar backscattered radiance measurements from NASA's Orbiting Carbon Observatory 2 (OCO-2) satellite. FOCAL includes a radiative transfer model which has been developed to approximate light scattering effects by multiple scattering at an optically thin scattering layer. This reduces the computational costs by several orders of magnitude. FOCAL's radiative transfer model is utilised to simulate the radiance in all three OCO-2 spectral bands allowing the simultaneous retrieval of CO2, H2O, and solar induced chlorophyll fluorescence. The product is limited to cloud-free scenes on the Earth's day side. This dataset is also referred to as CO2_OC2_FOCA.\r\n\r\nThis version of the data (v11) was produced as part of the European Space Agency's (ESA) \r\nClimate Change Initiative (CCI) Greenhouse Gases (GHG) project (GHG-CCI+, http://cci.esa.int/ghg).\r\nThe FOCAL OCO-2 XCO2 retrieval development, data processing and analysis has received co-funding from ESA’s Climate Change Initiative (CCI+) via project GHG-CCI+ (contract 4000126450/19/I-NB, https://climate.esa.int/en/projects/ghgs) EUMETSAT via the FOCAL-CO2M study (contract EUM/CO/19/4600002372/RL), the European Union via the Horizon 2020 (H2020) projects VERIFY (Grant Agreement No. 776810, http://verify.lsce.ipsl.fr) and CHE (Grant Agreement No. 776186, https://www.che-project.eu) and by the State and the University of Bremen.\r\n\r\nWhen citing this data, please also cite the following peer-reviewed publications:\r\n\r\nM.Reuter, M.Buchwitz, O.Schneising, S.Noël, V.Rozanov, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 1: Radiative Transfer and a Potential OCO-2 XCO2 Retrieval Setup, Remote Sensing, 9(11), 1159; doi:10.3390/rs9111159, 2017\r\n\r\nM.Reuter, M.Buchwitz, O.Schneising, S.Noël, H.Bovensmann and J.P.Burrows: A Fast Atmospheric Trace Gas Retrieval for Hyperspectral Instruments Approximating Multiple Scattering - Part 2: Application to XCO2 Retrievals from OCO-2, Remote Sensing, 9(11), 1102; doi:10.3390/rs9111102, 2017", "keywords": "ESA, CCI, satellite, carbon dioxide, CO2", "publicationState": "citable", "dataPublishedTime": "2025-02-24T14:52:56", "doiPublishedTime": "2025-02-28T09:21:01.979036", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43510/?format=api", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CO2_OC2_FOCA/v11.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 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The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2021 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.", "keywords": "elevation, oceans", "publicationState": "citable", "dataPublishedTime": "2021-07-19T13:38:11", "doiPublishedTime": "2021-07-19T13:38:11", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43526/?format=api", "dataPath": "/bodc/gebco/global/gebco_2021/ice_surface_elevation/netcdf", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7466239441, "numberOfFiles": 6, "fileFormat": "NetCDF, ESRI ASCII raster, data GeoTIFF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12083/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74864/?format=api" ], "dataLineage": "The GEBCO_2021 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. 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This is a two stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2019 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. 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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.", "keywords": "elevation, oceans", "publicationState": "citable", "dataPublishedTime": "2020-03-13T08:32:37", "doiPublishedTime": "2020-03-13T08:32:37", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44865/?format=api", "dataPath": "/bodc/gebco/ibcao/ibcao_v4", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 43217363995, "numberOfFiles": 92, "fileFormat": ".nc, .tiff, .tif, .zip, .pdf, .txt, .ris" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68621/?format=api" ], "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents the 4th version of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). The data set is also a regional contribution to the global GEBCO grid that is maintained and made available by BODC (acting as the Global Center for the Nippon Foundation-GEBCO Seabed 2030 Project) on behalf of GEBCO. 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"discoveryKeywords": [] }, { "ob_id": 43503, "uuid": "cf65717536994466976cf260ae8f7fe2", "title": "Highlight seabed images taken by ROV in the Ocean Minerals Company (OMCO) during expedition JC241 in the Clarion-Clipperton Zone (Pacific Ocean, 2023)", "abstract": "A collection of benthic still images was obtained using an oblique-looking camera mounted on the UK ISIS Remotely Operated Vehicle (ROV), deployed from the RRS James Cook during cruise JC241 in the abyssal plain (~4700 m depth) of the Clarion-Clipperton Zone, Pacific Ocean, in 2023. The images were obtained in an area that included a site disturbed by a deep-sea mining machine in 1979. The mining machine (9 m wide, 14 m long, 4.5 m high) was operated by the Ocean Minerals Company (OMCO) from the ship Hughes Glomar Explorer on the seafloor between 15 and 18 March 1979 at a site centred 13°44'N 126°13.5'W. The images show the seabed covered by polymetallic nodules and the disturbance caused by the past mining activities. The data were collected by scientists from the National Oceanography Centre, Southampton, UK as part of the NERC-funded Seabed Mining And Resilience To EXperimental impact (SMARTEX) project (NE/T003537/1).", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2025-02-17T17:46:04", "doiPublishedTime": "2025-02-17T17:46:04", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43502/?format=api", "dataPath": "/bodc/deposits01/soc250724", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1576736905, "numberOfFiles": 337, "fileFormat": ".jpg" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12090/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4697/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. 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The GEBCO_2024 Grid Collection comprises the following data types: the standard grid (ice surface elevation), the standard grid including sub-ice topography information for Greenland and Antarctica, and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2024 Grid Collection also comprises all available data formats, including ESRI ASCII raster, GeoTIFF, and NetCDF. This data collection also contains the published and citable GEBCO_2024 grid (standard grid of ice surface elevation) available in NetCDF format. In regions largely outside of the Arctic Ocean area, the GEBCO_2024 grid uses as a base Version 2.6 of the SRTM15_plus data set (Tozer et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2024 Grid represents all data within the 2024 compilation. The compilation of the GEBCO_2024 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the Regional Centers provide their data sets as sparse grids i.e. only grid cells that contain data are populated. These data sets were included on to the base using a ‘remove-restore’ blending procedure. This is a two-stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2024 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute (AWI), Germany; Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research (NIWA), New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory (LDEO), Columbia University, USA; Arctic and North Pacific Oceans - jointly hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2024-07-04T14:12:43", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43529/?format=api", "dataPath": "/bodc/gebco/global/gebco_2024", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 110659007521, "numberOfFiles": 118, "fileFormat": "NetCDF, ESRI ASCII raster, data GeoTIFF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12076/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74865/?format=api" ], "dataLineage": "The GEBCO_2024 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). On behalf of the GEBCO project, BODC make a subset of the GEBCO_2024 Grid Collection (GEBCO_2024 Standard Grid compilation of ice surface elevation, in NetCDF format) available for publication through the BODC Published Data Library and the GEBCO Project website. 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Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont-Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2021-07-19T13:38:11", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43532/?format=api", "dataPath": "/bodc/gebco/global/gebco_2021", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 108470395279, "numberOfFiles": 108, "fileFormat": "NetCDF, ESRI ASCII raster, data GeoTIFF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12083/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74864/?format=api" ], "dataLineage": "The GEBCO_2021 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. 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In 2021, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13245/?format=api" ], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43520/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207663/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207595/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43508, "uuid": "74583b230b1343d9b4b302b8fbb5414f", "title": "The GEBCO_2020 Grid Collection - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2020 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The GEBCO_2020 Grid Collection comprises the following data types: the standard grid (ice surface elevation), and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2020 Grid Collection is delivered in NetCDF format only. This data collection also contains the published and citable GEBCO_2020 grid (standard grid of ice surface elevation) available in NetCDF format.\r\n\r\nIn regions outside of the Arctic Ocean area, the grid uses as a base Version 2 of the SRTM15_plus data set (Tozer, B. et al, 2019). This data set is a fusion of land topography with measured and estimated seafloor topography. Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project. The GEBCO_2020 Grid represents all data within the 2020 compilation. The compilation of the GEBCO_2020 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. Outside of Polar regions, the gridded bathymetric data sets were supplied as sparse grids by the Regional Centers, i.e. only grid cells that contain data were populated. These sparse grids were included on to the base grid without any blending. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2020 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA.", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2020-04-28T10:58:17", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43533/?format=api", "dataPath": "/bodc/gebco/global/gebco_2020", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11294459725, "numberOfFiles": 15, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12085/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74863/?format=api" ], "dataLineage": "The GEBCO_2020 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). On behalf of the GEBCO project, BODC make a subset of the GEBCO_2020 Grid Collection (GEBCO_2020 Standard Grid compilation of ice surface elevation, in NetCDF format) available for publication through the BODC Published Data Library and the GEBCO Project website. In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43520/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207600/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207602/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207618/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207625/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43509, "uuid": "cefbb8b5fc874bfc84f75169a611de4f", "title": "The GEBCO_2019 Grid Collection - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2019 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds. The GEBCO_2019 Grid Collection, comprises the following data types: the standard grid (ice surface elevation), the Source Identifier Grid (SID), and the Type Identifier Grid (TID). The Type Identifier Grid indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on. The GEBCO_2019 Grid Collection is available in NetCDF format only. This data collection also contains the published and citable GEBCO_2019 grid (standard grid of ice surface elevation) available in NetCDF format. \r\n\r\nThe grid uses as a base Version 1 of the SRTM15_plus data set (Sandwell et al). This data set is a fusion of land topography with measured and estimated seafloor topography. It is largely based on version 11 of SRTM30_plus (5). Included on top of this base grid are gridded bathymetric data sets developed by the four Regional Centers of The Nippon Foundation-GEBCO Seabed 2030 Project, and from a number of international and national data repositories and regional mapping initiatives. The GEBCO_2019 Grid represents all data within the 2019 compilation. The compilation of the GEBCO_2019 Grid was carried out at the Seabed 2030 Global Center, hosted at the National Oceanography Centre, UK, with the aim of producing a seamless global terrain model. The majority of the compilation was done using the remove-restore procedure (Smith and Sandwell, 1997; Becker, Sandwell and Smith, 2009 and Hell and Jakobsson, 2011). This is a two stage process of computing the difference between the new data and the base grid and then gridding the difference and adding the difference back to the existing base grid. The aim is to achieve a smooth transition between the new and base data sets with the minimum of perturbation of the existing base data set. The data sets supplied in the form of complete grids (primarily areas north of 60N and south of 50S) were included using feather blending techniques from GlobalMapper software. The GEBCO_2019 Grid has been developed through the Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and the General Bathymetric Chart of the Oceans (GEBCO). It aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor by 2030 and make it available to all. Funded by the Nippon Foundation, the four Seabed 2030 Regional Centers include the Southern Ocean - hosted at the Alfred Wegener Institute, Germany; South and West Pacific Ocean - hosted at the National Institute of Water and Atmospheric Research, New Zealand; Atlantic and Indian Oceans - hosted at the Lamont Doherty Earth Observatory, Columbia University, USA; Arctic and North Pacific Oceans - hosted at Stockholm University, Sweden and the Center for Coastal and Ocean Mapping at the University of New Hampshire, USA).", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2019-03-28T11:40:01", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43534/?format=api", "dataPath": "/bodc/gebco/global/gebco_2019", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 19487610783, "numberOfFiles": 15, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12087/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74863/?format=api" ], "dataLineage": "The GEBCO_2019 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). On behalf of the GEBCO project, BODC make a subset of the GEBCO_2019 Grid Collection (GEBCO_2019 Standard Grid compilation of ice surface elevation, in NetCDF format) available for publication through the BODC Published Data Library and the GEBCO Project website. In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43520/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207628/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207630/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207631/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207632/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207627/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207652/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 43513, "uuid": "8e50690c2ac84e249cbc2cba2e95f5e5", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 1", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 1.0 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. The IBCAO Version 1 Grid was released in July 2001.\r\n\r\nThe bathymetric grid released in IBCAO Version 1 is available in NetCDF or Esri ASCII raster format. The grid is available as a geographic grid (one arc-minute intervals), or in a polar stereographic projection (2500 x 2500 m grid interval, true scale 75°N, WGS 84 datum). Postscript plots in polar stereographic projection are also available in IBCAO Version 1, showing shaded relief and contours. Shaded relief imagery is also provided in JPEG format. A Source Identifier Grid is delivered as a Postscript plot for IBCAO Version 1, to provide information on the source data sets included in the IBCAO grid.", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2001-07-01T00:00:00", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43541/?format=api", "dataPath": "/bodc/gebco/ibcao/ibcao_v1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1309572300, "numberOfFiles": 41, "fileFormat": "NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74862/?format=api" ], "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents the 1st version of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43521/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207796/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43514, "uuid": "1e69e123a0c04e2a83539dec43f1bfdb", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 2.23", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 2.23 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. The IBCAO Version 2.23 Grid was released in March 2008.\r\n\r\nThe bathymetric grid released in IBCAO Version 2.23 is available in NetCDF or Esri ASCII raster format. The grid is available as a geographic grid (one arc-minute or two arc-minute intervals), or in a polar stereographic projection (2000 x 2000 m grid interval, true scale 75°N, WGS 84 datum). The one-minute geographic grid imagery is also available in KMZ format for Google Earth. A Source Identifier Grid is delivered as a JPEG image for IBCAO version 2.23, to provide information on the source data sets included in the IBCAO grid.", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2008-03-01T00:00:00", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43542/?format=api", "dataPath": "/bodc/gebco/ibcao/ibcao_v2_23", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 825460525, "numberOfFiles": 20, "fileFormat": "NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74859/?format=api" ], "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 2.23 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43521/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207803/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43515, "uuid": "ca9e188d6141435eb7d851d40416a645", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. The IBCAO Version 3.0 Grid was released in June 2012.\r\n\r\nAt the time of its publication, IBCAO Version 3.0 represented the largest improvement in the data set since 1999. Taking advantage of new data sets collected by the circum-Arctic nations, opportunistic data collected from fishing vessels, data acquired from US Navy submarines and from research ships of various nations.\r\n\r\nBuilt using an improved gridding algorithm, the grid is on a 500 meter spacing, revealing much greater details of the Arctic seafloor than IBCAO Version 1.0 (2.5 km) and Version 2.0 (2.0 km). The area covered by multibeam surveys has increased from ~6 % in Version 2.0 to ~11% in Version 3.0.\r\n\r\nThe bathymetric grid released in IBCAO Version 3.0 is available in NetCDF, Esri ASCII or data GeoTIFF raster format. The IBCAO V3 data are built using the WGS84 horizontal datum, where the vertical datum is referenced to Mean Sea Level. Elevation values are provided in metres (negative below the sea surface). The IBCAO V3 dataset comprises polar stereographic grids at 500 x 500m grid intervals, true scale 75°N, in both smoothed (SM) and remove-restore (RR) method formats. The IBCAO V3 dataset also comprises geographic grids at 30 arc-second resolution in both smoothed (SM) and remove-restore (RR) method formats.", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2012-06-01T00:00:00", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43543/?format=api", "dataPath": "/bodc/gebco/ibcao/ibcao_v3", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10612304945, "numberOfFiles": 32, "fileFormat": "ESRI ASCII raster, data GeoTIFF, NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74853/?format=api" ], "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 3 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43521/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207814/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43516, "uuid": "ae9cfa35e2454137a672f15ca00d0e64", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.1", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.1 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 4.1 Grid was released in July 2021, updated from IBCAO Version 4 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 4.1 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 4.1 dataset comprises a grid with Greenland ice sheet data at 200 x 200m grid cell spacing, and 400 x 400m grid cell spacing. A version of the 4.1 grid without Greenland ice sheet data is also available. Alongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 200 x 200m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point).", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2021-07-01T00:00:00", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43544/?format=api", "dataPath": "/bodc/gebco/ibcao/ibcao_v4.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 59631521711, "numberOfFiles": 102, "fileFormat": "ESRI ASCII raster, data GeoTIFF, NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68621/?format=api" ], "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 4.1 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43521/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207823/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43517, "uuid": "c46755ee7d604d8591fee4dc5f56b9e3", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.2", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 4.2 is a gridded continuous terrain model covering ocean and land of the Arctic region. The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 4.2 Grid was released in August 2022, updated from IBCAO Version 4.1 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 4.2 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 4.2 dataset comprises a grid with Greenland ice sheet data at 200 x 200m grid cell spacing, and 400 x 400m grid cell spacing. A version of the 4.2 grid without Greenland ice sheet data is also available. Alongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 200 x 200m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point).", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2022-08-01T00:00:00", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43545/?format=api", "dataPath": "/bodc/gebco/ibcao/ibcao_v4.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 59659683940, "numberOfFiles": 102, "fileFormat": "ESRI ASCII raster, data GeoTIFF, NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68621/?format=api" ], "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 4.2 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). 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The International Bathymetric Chart of the Arctic Ocean was initiated in 1997 and has since been the authoritative source of bathymetry for the Arctic Ocean. In 2017, the IBCAO merged its efforts with the Nippon Foundation-GEBCO Seabed 2030 Project, with the goal of mapping the global seafloor by 2030. The IBCAO Version 4.2.13 Grid was released in August 2022, updated from IBCAO Version 4.2 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 4.2.13 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 4.2.13 dataset comprises a grid with Greenland ice sheet data at 200 x 200m grid cell spacing, and 400 x 400m grid cell spacing. A version of the 4.2.13 grid without Greenland ice sheet data is also available. Alongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 200 x 200m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point).", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2023-07-01T00:00:00", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43546/?format=api", "dataPath": "/bodc/gebco/ibcao/ibcao_v4.2.13", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 59409906321, "numberOfFiles": 101, "fileFormat": "ESRI ASCII raster, data GeoTIFF, NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/10621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68619/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68620/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68621/?format=api" ], "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 4.2.13 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43521/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207839/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43519, "uuid": "3bc493d393a843ee9422f9c610fcd437", "title": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5", "abstract": "The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 5 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 Grid was released in 2024, updated from IBCAO Version 4.2.13 to include new bathymetric data/compilations.\r\n\r\nThe bathymetric grid released in IBCAO Version 5 is available in NetCDF or data GeoTIFF raster format. Elevation values are provided in metres (negative below the sea surface). The IBCAO Version 5 dataset comprises a grid with Greenland ice sheet data at 100 m, 200 m and 400 m grid cell spacing. A Version 5 grid without Greenland ice sheet data is also available. IBCAO Version 5 imagery is also provided in .tiff format at 100m grid cell spacing. \r\n\r\nAlongside the bathymetric grid, a data Type Identifier Grid (TID) and Source Identifier Grid (SID) are also provided, each at 100 m resolution. The TID indicates the type of source data that the corresponding grid cell in the bathymetric grid is based on, whilst the SID has a unique number for each of the source data sets included in the bathymetric grid. \r\n\r\nThe data are made available in Polar Stereographic projection co-ordinates (meters), EPSG:3996, true scale set at 75°N. The horizontal datum for the data set is WGS 84 and vertical datum can assumed to be Mean Sea Level (however, note there may be datum issues for older data, which can be to chart datum). Elevation values are in meters (floating point).", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2024-07-01T00:00:00", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43547/?format=api", "dataPath": "/bodc/gebco/ibcao/ibcao_v5", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 169755069833, "numberOfFiles": 69, "fileFormat": "ESRI ASCII raster, data GeoTIFF, NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "This dataset was generated by organisation with the \"originator centre\" role in this metadata record following their in-house data processing and quality control procedures. It represents version 5 of the International Bathymetric Chart of the Arctic Ocean (IBCAO) and has been generated by the originator on behalf of this project. The data set is in the form of a grid that has been generated from a number of sources and using different data collection techniques. Information concerning the source data sets included in the grid is given in the documentation that accompanies the data set. After generation, the grid was then provided to the British Oceanographic Data Centre (BODC) for delivery via the General Bathymetric Chart of the Oceans (GEBCO) web site (maintained at BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43521/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207849/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43535, "uuid": "0c9dfec287bf4b6c84435d1182825389", "title": "The GEBCO_2014 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2014 Grid is a global continuous terrain model for ocean and land with a spatial resolution of 30 arc-seconds. The GEBCO_2019 Grid Collection, comprises the following data types: the standard grid (ice surface elevation), and the Source Identifier Grid (SID). The GEBCO_2014 Grid Collection is available in NetCDF format only. Please note the GEBCO 2014 grid is a legacy dataset that has been superseded by more recent releases.", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2014-07-01T00:00:00", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43538/?format=api", "dataPath": "/bodc/gebco/global/gebco_2014", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4948804328, "numberOfFiles": 9, "fileFormat": "NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74852/?format=api" ], "dataLineage": "The GEBCO_2014 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43520/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207922/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43536, "uuid": "e7b366a8516240b7a023edb25fdaf1bf", "title": "The GEBCO_2008 Grid - a continuous terrain model of the global oceans and land", "abstract": "The GEBCO_2008 Grid is a global continuous terrain model for ocean and land with a spatial resolution of one arc-minute. The GEBCO_2008 Grid, comprises the one minute grid in NetCDF format only, alongside accompanying terms of use and documentation. Please note that the GEBCO 2008 One Minute Grid is a legacy dataset that has been superseded by subsequent releases of the GEBCO grid.", "keywords": "elevation, oceans", "publicationState": "published", "dataPublishedTime": "2008-07-01T00:00:00", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43537/?format=api", "dataPath": "/bodc/gebco/global/gebco_one_minute_2008", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 756309650, "numberOfFiles": 6, "fileFormat": "NetCDF" }, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4696/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/74850/?format=api" ], "dataLineage": "The GEBCO_2008 grid has been generated from bathymetric data sets compiled by the Nippon Foundation-GEBCO Seabed 2030 Grid Compilation Team. The global grid has been assembled from these inputs by the Seabed 2030 Global Center, hosted by the National Oceanography Centre, UK at the British Oceanographic Data Centre (BODC). In 2024, these data were moved to CEDA for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43520/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207915/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/207919/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43540, "uuid": "2b8c6a8f1abd40a6b0ce07c40b1c57ff", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged methane from Sentinel-5P, generated with the WFM-DOAS algorithm, version 1.8, November 2017 - June 2024", "abstract": "This product is the column-average dry-air mole fraction of atmospheric methane, denoted XCH4. It has been retrieved from radiance measurements from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5 Precursor satellite in the 2.3 µm spectral range of the solar spectral range, using the Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS or WFMD) retrieval algorithm. This dataset is also referred to as CH4_S5P_WFMD. This version of the product is version 1.8, and covers the period from November 2017 - June 2024. \r\n\r\nThe WFMD algorithm is based on iteratively fitting a simulated radiance spectrum to the measured spectrum using a least-squares method. The algorithm is very fast as it is based on a radiative transfer model based look-up table scheme. The product is limited to cloud-free scenes on the Earth's day side.\r\n\r\nThese data were produced as part of the European Space Agency's (ESA) Greenhouse Gases (GHG) Climate Change Initiative (CCI) project.\r\n\r\nWhen citing this dataset, please also cite the following peer-reviewed publication: \r\nSchneising, O., Buchwitz, M., Hachmeister, J., Vanselow, S., Reuter, M., Buschmann, M., Bovensmann, H., and Burrows, J. P.: Advances in retrieving XCH4 and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm, Atmos. Meas. Tech., 16, 669–694, https://doi.org/10.5194/amt-16-669-2023, 2023.", "keywords": "ESA, CCI, satellite, Sentinel-5 Precursor, TROPOMI, atmosphere, methane, carbon monoxide", "publicationState": "published", "dataPublishedTime": "2025-03-12T10:08:02", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43549/?format=api", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CH4_S5P_WFMD/v1.8_extended_june2024", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 142178270863, "numberOfFiles": 2379, "fileFormat": "netcdf" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12103/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54763/?format=api", 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"accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 43551, "uuid": "defed477a24547b7aa024d655f3d2adb", "title": "Sea Surface Skin Temperature from SISTeR: QM2 Cruise 25, v2.5", "abstract": "Sea Surface Skin Temperature data from the SISTeR instrument (Scanning Infrared Sea surface Temperature Radiometer). This dataset contains SST data of the Mediterranean Sea and the Indian Ocean measured by SISTeR on-board RMS Queen Mary 2 (QM2) between 11 January 2023 and 10 February 2023.\r\n\r\nThese data may be used freely, however we request they are not used as inputs to assimilated SST products, as the primary purpose of these data is for validation of such products.", "keywords": "SLSTR,Validation,RMS Queen Mary 2,SST", "publicationState": "citable", "dataPublishedTime": "2026-01-26T17:07:46", "doiPublishedTime": "2026-02-19T09:06:59.453479", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44499/?format=api", "dataPath": "/neodc/ral_ship_sst/data/QM2/Cruise25/fv2.5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 235079679, "numberOfFiles": 64, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12127/?format=api", 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In addition, using 500 hPa geopotential height data from the ERA5 reanalysis, time series of jet speed and latitude were derived and the top three principal empirical orthogonal functions of atmospheric circulation variability for the North Atlantic and European sector.\r\n\r\nWeather conditions have significant socio-economic impacts and producing seasonal forecasts some months ahead would have significant benefits for society. Dynamical seasonal forecasting systems have led to some recent advances in forecasting skill, particularly in winter. However, there is considerable scope for applying machine-learning techniques to the problem. Using a novel Non-linear AutoRegressive Moving Average with eXogenous inputs (NARMAX) systems identification (an interpretable form of machine learning) approach, that identifies and models linear and non-linear dynamic relationships between a range of variables, this project seeks to extend skilful seasonal forecasting to seasons beyond winter, identify factors that contribute skill to the forecast, develop regional seasonal forecasts for Northwest Europe and assess the benefits of skilful probabilistic seasonal forecasts to potential users such as the agri-food industry.\r\n\r\nThe datasets used for generating the predictor datasets for both winter and summer can be found alongside the data in Word documents. 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This dataset is consistent with the GOSAT-1 dataset (https://catalogue.ceda.ac.uk/uuid/54df57f3aaed4867bec35ebdb31f4a8b/) The latest version of the GOSAT-2 Level 1B files were processed with the Leicester Retrieval Preparation Toolset to extract the measured radiances along with all required sounding-specific ancillary information such as the measurement time, location and geometry. The data were processed through the UoL-FP retrieval algorithm where the Proxy retrieval approach is used to obtain the column-averaged dry-air mole fraction of methane (XCH4). Post-filtering and bias correction against the Total Carbon Column Observing Network is then performed, via the same methodology as used for the GOSAT-1 data. 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temperature.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nThe seasonal temperature series are derived as the mean of the monthly temperature series values.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website 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Between 1848 and 1878, adjustments are applied to account for periods when only a single station was in use.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nFrom 1973 onwards, multiple adjustments ensure continuity with Manley’s series, homogenise the current station selection with Manley’s original dataset, and correct for the effects of increasing urbanisation.\r\n \r\nThese static adjustments are calculated on a monthly basis and are applied uniformly to all daily values within each month from 1973 to the present. \r\n \r\nUrbanisation adjustments remain static from November 2004 onward, while adjustments between 1974 and October 2004 are graded to reflect a progressive increase in urbanisation effects over time.\r\n \r\nThis dataset contains the post-Manley extended adjustments, station homogenisation adjustments, and static urban corrections.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n\r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html)", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-05-09T10:12:36", "doiPublishedTime": "2025-05-09T15:46:00", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43628/?format=api", "dataPath": "/badc/ukmo-cet/data/v2.0.0.0/adjustments/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16163, "numberOfFiles": 8, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12402/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76390/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76391/?format=api" ], "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. This is a finalised version of the dataset that has been delivered by the Met Office Hadley Centre for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13381/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13164/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43588/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208144/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43872/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43598, "uuid": "a71afe47c63a4e4a9c9d5d18625cd8f9", "title": "Met Office Cardington: cloud height measurements from a Vaisala CT25K_A Laser Ceilometer, 2014-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated two Vaisala CT25K ceilometers deployed at Cardington since 2014, denoted by unit numbers A and B. This dataset covers data from unit A.\r\n\r\nThe CT25K Laser ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The CT25K provides reliable determination of cloud height up to 25,000 feet (7.5 km) thus covering most heights where dense clouds appear. It is designed to detect up to three possible cloud layers.\r\n\r\nThe Vaisala CT25K laser ceilometer measures cloud height-or vertical visibility if the cloud base is obscured. The single-lens design also ensures reliable measurements in fog, rain, snow and haze.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "ceilometer, cloud height, cloud base, measurement, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-04-28T12:58:59", "doiPublishedTime": "2025-04-28T12:59:05", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44160/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/ceilometer/ct25k-A/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11844025250, "numberOfFiles": 3776, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12152/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75869/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13359/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43597/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208187/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44214/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43600, "uuid": "51d139c161e746e0a9d91e1156958a88", "title": "Met Office Cardington: cloud height measurements from a Impulsphysik LD40 Laser Ceilometer, 2010-2014", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Impulsphysik LD40 Ceilometer between 2009-2014. \r\n\r\nThe LD40 Laser Ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The LD40 operates according to the Light Detection and Ranging (LIDAR) principle. It transmits short pulses of laser light which are scattered back to the instrument from atmospheric targets. The distance of the targets from the instrument is determined by the time delay between the transmission and reception of a pulse. The instrument is vertically-pointing (zenith angle=0) and so the distance gives a measure of the altitude of the targets above ground-level. \r\n\r\nThe LD40 provides reliable determination of cloud height up to 13 km. It is designed to detect up to three possible cloud layers.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "ceilometer, cloud height, cloud base, measurement, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-05-12T15:32:19", "doiPublishedTime": "2025-06-25T11:59:50", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44254/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/ceilometer/ld40", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 51736049006, "numberOfFiles": 1271, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12153/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75967/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. 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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). 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From such measurements, it is possible to classify different types of precipitation, such as drizzle, rain, hail, snow, and mixed precipitation, quantify precipitation in a time interval, and derive size and velocity joint distribution. Thies laser disdrometer can in addition detect fine drizzle, drop fall speed and drop size distribution.\r\n\r\nThe disdrometer is the most sophisticated precipitation instrument deployed at Cardington.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). 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This dataset covers data from unit 01.\r\n\r\nAll three Halo systems were based on a 1565 nm laser emitting linearly polarised pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo systems are capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range.\r\n\r\nThe usual operation at Cardington was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. Wind profiles performed every 30 min was the default operation for wind scans. Most profiles of horizontal wind within the dataset are based on DBS (Doppler beam swinging) scans which use a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components. This scan was chosen for the bulk of the time because it only takes about 21 s to complete, which leaves 98% of the available time to vertical stares if one wind scan is completed every 30 min. More recent scans in the dataset have used multi-axis VAD (velocity azimuth display) scans, which are a more involved version of the DBS scans and use 6 or 12 point off-zenith views. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files.\r\n\r\nAlthough depolarisation capability was possible with #35, this was only switched on occasionally during certain weather conditions.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "Doppler lidar, vertical stares, wind scans, measurement, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-04-26T10:51:34", "doiPublishedTime": "2025-04-28T08:26:25", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43705/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/lidar/halo-lidar-01", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 194670361799, "numberOfFiles": 11056, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12149/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75780/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. 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This dataset covers data from unit 30.\r\n\r\nAll three Halo systems were based on a 1565 nm laser emitting linearly polarized pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo systems are capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range.\r\n\r\nThe usual operation at Cardington was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. Wind profiles performed every 30 min was the default operation for wind scans. Most profiles of horizontal wind within the dataset are based on DBS (Doppler beam swinging) scans which use a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components. This scan was chosen for the bulk of the time because it only takes about 21 s to complete, which leaves 98% of the available time to vertical stares if one wind scan is completed every 30 min. More recent scans in the dataset have used multi-axis VAD (velocity azimuth display) scans, which are a more involved version of the DBS scans and use 6 or 12 point off-zenith views. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files.\r\n\r\nAlthough depolarisation capability was possible with #35, this was only switched on occasionally during certain weather conditions.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). 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These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13326/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43597/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208260/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208261/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208265/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43683/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43605, "uuid": "9bf50847dd4d49a281d5663d512e1646", "title": "Met Office Cardington: humidity profiles, liquid water paths and integrated water vapour measurement from a RPG Humpro microwave radiometer, 2016-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the RPG Humpro profiling microwave radiometer retrieving humidity profiles in addition to the liquid water paths and integrated water vapour paths using brightness temperatures measured at seven microwave frequencies between 22.24 and 31.4 GHz (this band in general being sensitive to water vapour and cloud). The liquid and vapour water path retrievals used a supplied neural network algorithm (which is trained with radiosonde data using a radiative transfer scheme). Two archived files are available, based on the time series (water vapour and liquid water) and profile (humidity) data.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "liquid water path, integrated water vapour, relative humidity profile, liquid water profile, passive, radiometer, measurement, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-06-19T16:51:33", "doiPublishedTime": "2025-06-19T16:51:53", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43709/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/microwave-radiometer/humpro", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 23699537696, "numberOfFiles": 1904, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12157/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75703/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13423/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43597/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208278/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43691/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43606, "uuid": "21c423889e6a4035ac7f4761e467de2b", "title": "Met Office Cardington: column integrations of liquid water and water vapour from a Radiometrics WVR-1100 microwave radiometer, 2002-2022", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Radiometrics WVR-1100 passive microwave radiometer measuring the atmospheric emissions at two frequencies (23.8 and 31.4 GHz) which provided brightness temperature at these channels, retrieve column integrations of liquid water path and integrated water vapour.\r\n\r\nThe WVR-1100 used a bi-linear regression method based on local radiosonde launches to retrieve column integrations of liquid water and water vapour. The WVR-1100 in addition performed ‘tipping curve’ observations using off-zenith slant scans where the optical depth for each frequency varies in a known way with atmospheric geometrical thickness. Tipping curves assume the atmosphere is horizontally homogeneous. The overall error in liquid water path is estimated to be 0.015 kg m-2. Water vapour and liquid water column amounts were logged typically every 9-10 s. Absolute calibrations for the absorbing channels were done periodically using an external black body cooled with liquid nitrogen.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "liquid water path, integrated water vapour, temperature profile, passive, microwave radiometer, measurement, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-04-26T08:08:57", "doiPublishedTime": "2025-04-28T08:29:44", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43708/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/microwave-radiometer/wvr1100", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4360834295, "numberOfFiles": 6858, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12155/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75730/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75731/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75735/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75738/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13329/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43597/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208284/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208291/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43687/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43607, "uuid": "5934d2a5706c4a3c9caa15188d9ed24b", "title": "Met Office Cardington: vertical profile measurements from Vaisala radiosonde ascents, 1996-2024", "abstract": "This repository provides data from all radiosondes launched at Cardington between 1996-2024.\r\nThe sonde unit was operated by the Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England.\r\n\r\nSonde launches were performed with a mean ascent rate of 2.5 m s-1. The slower ascent rate compared to an operational sonde ascent rate enables improved vertical sampling resolution in the atmospheric boundary layer whilst maintaining a sufficient ventilation rate over the sensors. From 1996-2002, a RS80 device was used with ThermoCap, HumiCap, BaroCap sensors, and between 2006-2014 a RS92-SGPB device was used with ThermoCap, HumiCap, capacitive pressure sensors. Sonde launches from 2014-2024 used an RS41-SG(P) device with PRT, silicon capacitive pressure (SGP), and HumiCap sensors.\r\n\r\nThe launches of radiosondes were performed on a project related basis only and all available ascent data has been provided from the Cardington facility. Please note that there were no ascents in 2022.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "observation, radiosonde, wind, speed, temperature, relative, humidity, measurement, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-04-26T08:13:13", "doiPublishedTime": "2025-04-28T08:30:42", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43744/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/sonde/vaisala", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 695754351, "numberOfFiles": 1892, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12159/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75837/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. 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Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30\r\n\r\n- Chemical mechanisms and their applications in the Goddard Earth Observing System (GEOS) earth system model. Nielsen, J. E., Pawson, S., Molod, A., Auer, B., da Silva, A. M., Douglass, A. R., ... Wargan, K. (2017). Journal of Advances in Modeling Earth Systems, 9, 3019–3044. https://doi.org/10.1002/2017MS001011\r\n- Change in tropospheric ozone in the recent decades and its contribution to global total ozone. Liu, J., Strode, S. A., Liang, Q., Oman, L.D., Colarco, P. R., Fleming, E. L., et al. (2022). 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/208373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208376/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43612/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43617, "uuid": "77bef4103ec2426281a5e74ccc0ba5c7", "title": "Met Office Cardington: vertical wind profiles and backscatter measurements from Halo Doppler Lidar unit 35, 2012-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated three Halo Photonics Streamline Doppler lidars, denoted by unit numbers 01, 30 and 35. This dataset covers data from unit 35.\r\n\r\nAll three Halo systems were based on a 1565 nm laser emitting linearly polarized pulsed light through an 8 cm diameter lens with a heterodyne detector. Laser beam returns from the atmosphere are range-gated velocity and back-scattered power. The Halo systems are capable of full hemispheric scanning of the backscatter coefficient and radial velocity as a function of beam range.\r\n\r\nThe usual operation at Cardington was vertical stares (zenith angle=0°) with periodic wind scans that invoked various options of off-axis views. Wind profiles performed every 30 min was the default operation for wind scans. Most profiles of horizontal wind within the dataset are based on DBS (Doppler beam swinging) scans which use a tri-axis azimuthally orthogonal technique using the single lidar beam to retrieve horizontal mean wind components. This scan was chosen for the bulk of the time because it only takes about 21 s to complete, which leaves 98% of the available time to vertical stares if one wind scan is completed every 30 min. More recent scans in the dataset have used multi-axis VAD (velocity azimuth display) scans, which are a more involved version of the DBS scans and use 6 or 12 point off-zenith views. The vertical stares, DBS and VAD wind scans produced separate archived netCDF files.\r\n\r\nAlthough depolarisation capability was possible with #35, this was only switched on occasionally during certain weather conditions.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "Doppler lidar, vertical stares, wind scans, measurement, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-04-26T08:12:15", "doiPublishedTime": "2025-04-28T08:24:40", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43707/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/lidar/halo-lidar-35", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 856666272579, "numberOfFiles": 7165, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12151/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75780/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. 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Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13325/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43597/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208498/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208504/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208505/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43680/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43618, "uuid": "040f19261fa24683988bff79b255f0a8", "title": "Atmospheric trace gas observations from the UK Deriving Emissions linked to Climate Change (DECC) Network and associated data - Version 25.01", "abstract": "This version 25.01 dataset collection consists of atmospheric trace gas observations made as part of the UK Deriving Emissions linked to Climate Change (DECC) Network. It includes core DECC Network measurements, funded by the UK Government Department for Energy Security and Net Zero (TRN1028/06/2015, TRN1537/06/2018, TRN5488/11/2021 and prj_1604) and through the National Measurement System at the National Physical Laboratory, supplemented by observations funded through other associated projects. The core DECC network consists of five sites in the UK and Ireland measuring greenhouse and ozone-depleting gases.\r\n\r\nThe four UK-based sites (Ridge Hill, Herefordshire; Tacolneston, Norfolk; Bilsdale, North Yorkshire; and Heathfield, East Sussex) sample air from elevated inlets on tall telecommunications towers. Mace Head, situated on the west coast of Ireland, samples from an inlet within 10 metres of ground level and is ideally situated to intercept baseline air from the North Atlantic Ocean. The measurement site at Weybourne, Norfolk, funded by the National Centre for Atmospheric Science (NCAS) and operated by the University of East Anglia, is also affiliated with the network. Mace Head and Weybourne data are archived separately - see links in documentation. 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These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13360/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43597/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208858/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44217/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43641, "uuid": "06a71fd559884416ad798e452aa21bef", "title": "Met Office Cardington: cloud height measurements from a Impulsphysik LD25 Laser Ceilometer, 2003-2014", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Impulsphysik LD25 Ceilometer between 2003-2014.\r\n\r\nThe LD25 Laser Ceilometer is a general-purpose cloud height sensor employing LIDAR technology for detection of clouds, precipitation and other obstructions to vision. The LD25 operates according to the Light Detection and Ranging (LIDAR) principle. It transmits short pulses of laser light which are scattered back to the instrument from atmospheric targets. The distance of the targets from the instrument is determined by the time delay between the transmission and reception of a pulse. The instrument is vertically-pointing (zenith angle=0) and so the distance gives a measure of the altitude of the targets above ground-level. \r\n\r\nThe LD25 provides reliable determination of cloud height up to 7.5 km. It is designed to detect up to three possible cloud layers.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "ceilometer, cloud height, cloud base, measurement, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-05-12T15:30:30", "doiPublishedTime": "2025-06-25T12:00:33", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44253/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/ceilometer/ld25", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 75069270666, "numberOfFiles": 3167, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12154/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75967/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. 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Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13431/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43597/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208871/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44257/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43642, "uuid": "d44b15c8f183404ca47291bc677f93e0", "title": "Met Office Cardington: column integrations of liquid water and water vapour from a Radiometrics TP/WVP-3000 microwave radiometer, 2011-2016", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Radiometrics TP/WVP-3000 microwave radiometer using a neural network to retrieve profiles of water vapour and temperature. The TP/WVP-3000 was set up to take readings in the vertical approximately every 8 s. Regular tipping curve scans were done over a range of zenith angles (30, 45, 90, 135, 150 degrees) to compare the atmospheric radiances to that of known values at relatively opaque water vapour frequencies (with the opacity being a linear function of the slant path), in addition using frequent views of an internal temperature-controlled black body. Absolute calibrations for the absorbing channels were done periodically using a black body cooled with liquid nitrogen.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "liquid water path, integrated water vapour, temperature profile, water vapour profile, relative humidity profile, liquid water profile, passive, microwave radiometer, measurement, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-04-26T08:08:08", "doiPublishedTime": "2025-04-28T08:28:34", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43716/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/microwave-radiometer/wvp-3000", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1959573316, "numberOfFiles": 556, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12156/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75793/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. 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Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13328/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43597/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208872/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208884/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43689/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43643, "uuid": "19c5dc39bb8c4c40a5643678c31168e7", "title": "Met Office Cardington: Land surface model (LSM) meteorological driving data, 2005-2024", "abstract": "The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, compiled a forcing meteorological dataset for the Cardington site to drive the JULES standalone land surface model (LSM) that covers the whole year 2005-2024 data record, albeit only based on 30 min temporal resolution. JULES is the UK community LSM that is used in the Met Office Unified Model (MetUM) from short-range weather forecasts through to climate predictions, from global coverage down to a single point. JULES requires the following seven atmospheric input variables at every time step for it to able to run using prescribed meteorology from field observations: downwelling shortwave irradiance, downwelling longwave irradiance, rainfall, air temperature, mean horizontal wind, surface barometric pressure, and specific humidity. \r\n\r\nThe drive dataset is a NetCDF file for each of the four drive heights (2, 10, 25 and 50 m), such that temperature, wind and humidity drive variables are taken from the different mast heights, with the pressure, radiation and rainfall remaining unchanged as they were only available from fixed levels (i.e. pressure at 1.2 m, downwelling radiation at 4 m, upwelling radiation at 2 m, and rainfall at the surface).\r\n\r\nThe corresponding 4 files have the following temporal ranges:\r\n\r\n - 2 m drive height: 20120101-0000 to 20241231-2330\r\n - 10 m drive height: 20050101-0000 to 20241231-2330\r\n - 25 m drive height: 20050101-0000 to 20241231-2330\r\n - 50 m drive height: 20050101-0000 to 20241231-2330\r\n\r\nTimes are in UTC.\r\n\r\nThe 2 m level is limited to the whole years 2012–2024. Although the netCDF drive dataset has been configured to run with JULES, it should be straightforward to apply the data within it to other LSMs that can be run offline and forced by prescribed meteorology for a single point.\r\n\r\nA full list of NetCDF variables can be found in \"Continuous meteorological surface and soil records (2004-2024) at the Met Office surface site of Cardington, UK.\" Osborne et al. ESSD (2025). This paper should be referenced in any research/publications pertaining to this dataset.\r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included.", "keywords": "land surface model, LSM, JULES, driving data, downwelling shortwave irradiance, downwelling longwave irradiance, rainfall, air temperature, mean horizontal wind, surface barometric pressure, specific humidity, Cardington, Met Office", "publicationState": "citable", "dataPublishedTime": "2025-04-28T11:07:45", "doiPublishedTime": "2025-04-28T11:25:43", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43703/?format=api", "dataPath": "/badc/ukmo-cardington/data/complete-collection/land-surface-derived", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 76819799, "numberOfFiles": 6, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12160/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/39/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75713/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75715/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75717/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75718/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75720/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75721/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75722/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75723/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75728/?format=api" ], "dataLineage": "Data were collected by the Met Office Meteorological Research Unit, Cardington, during its operational period. These data have been standardised for the production of this dataset, following similar file metadata conventions for all associated datasets within the continuous hydro-meteorological record (2004-2024) at the Met Office surface site of Cardington, UK Dataset Collection, as described more fully within Osborne et al., (2025). This standardisation approach addressed, where possible, any known data and metadata issues. Data were then deposited at the Centre for Environmental Data Analysis (CEDA) for long-term archival.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13349/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20010/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43597/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208898/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43749/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43652, "uuid": "67ed591ff81f4d5c88df631faf1c9c7a", "title": "Abrasion chamber particle velocity data (mineral grain particle sizes D50 157-681 microns)", "abstract": "Data relate to the velocities of mineral particles achieved within a glass test-tube abrasion chamber. Particles are agitated by airflow in to the chamber. Particle median grain size (D50) ranged from 157 to 681 microns. Particle mass varied from 10 g to 100 g. Particle velocities were measured over a 2D vertical grid aligned through the long-axis of the chamber using a Dantec(TM) 2D Laser Doppler Anemometer mounted on a 2D programmable traverse. Data were collected to determine how mineral particle velocities achieved within the chamber compared to those in natural saltation clouds.\r\n\r\nThis data is part of the project NE/X00015X/1: Microplastic entrainment, transport and fragmentation in atmospheric boundary-layer flows. The overall aim of this research is to understand the processes of microplastic entrainment and transport by wind and how these processes affect the material properties of microplastics. The knowledge gained will inform models for predicting land-atmosphere microplastic flux and distribution", "keywords": "particle velocity,aeolian abrasion,saltation,laser doppler anemometry", "publicationState": "citable", "dataPublishedTime": "2025-04-10T07:48:20", "doiPublishedTime": "2025-04-10T08:36:47", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43896/?format=api", "dataPath": "/badc/deposited2025/Abrasion_Chamber_Particle_Velocity", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 157481720, "numberOfFiles": 31, "fileFormat": "badc-csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12167/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86848/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86850/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13295/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43609/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208928/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43653/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43654, "uuid": "511a4ab3100b4010aab910b5fdaa7c4e", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on Suomi National Polar-orbiting Partnership (SNPP), level 3 collated (L3C) global product (2012-2024), version 1.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi National Polar-orbiting Partnership (SNPP). Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the morning and evening SNPP equator crossing times which are 13:25 and 01:25 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. VIIRS achieves full Earth coverage twice per day. LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 19th January 2012 and continues until 31st December 2024. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).", "keywords": "Land Surface Temperature,VIIRS,Visible Infrared Imaging Radiometer Suite,soil,canopy", "publicationState": "citable", "dataPublishedTime": "2025-08-13T13:24:26", "doiPublishedTime": "2025-08-13T13:57:37", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44705/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/SNPP_VIIRS", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8875573053286, "numberOfFiles": 9346, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12604/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4716/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84150/?format=api" ], "dataLineage": "The European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).\r\n\r\nVIIRS L1C data are downloaded from LAADS DAAC (Level 1 Atmosphere Archive and Distribution System Distributed Active Archive Centre). These data are processed by the University of Leicester: data are reformatted then processed to LSTs on an orbit swath, regridded to an equal angle grid, and collated to daily day and night products at Level 3C.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13496/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/33361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/43216/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/214567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208950/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208951/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43660/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2558/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lst_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 43656, "uuid": "c5545d7d3b7b405e8607afb8b2e581f2", "title": "Bermuda boundary Layer Experiment: Gas phase hydrogen chloride measurements from TILDAS instrument", "abstract": "This dataset contains hydrochloride concentration measurements from the University of York's Tunable Infrared Laser Direct Absorption Spectrometer (TILDAS). This instrument is situated on top of a 10-metre high tower at the Bermuda Institute of Ocean Sciences (BIOS) Tudor Hill Marine Atmospheric Observatory (THMAO) in Bermuda during the Bermuda boundary Layer Experiment of the Atmospheric Chemistry of Halogens (BLEACH) campaigns. The summer BLEACH campaign took place during June 2022 and the Winter BLEACH campaign took place during January/Febrauary 2023. \r\nTILDAS 1hz data have been averaged to hourly intervals, associated with the timestamp at the start of the hour, and filtered to exclude periods impacted by instrument issues and power outages. A background correction method has been applied to account for issues with background measurements.\r\nThese measurements will provide a quantitative observational constraint for the dependence of reactive halogen abundances on pollution levels, as well as allow us to assess the model's representation of the abundance and speciation of reactive halogens at a tropical, marine location and their interactions with one another.", "keywords": "TILDAS,BLEACH,Bermuda", "publicationState": "published", "dataPublishedTime": "2025-03-27T10:41:19", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/43665/?format=api", "dataPath": "/badc/deposited2025/BLEACH_York_TILDAS_Bermuda/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 29680, "numberOfFiles": 4, "fileFormat": "badc-csv" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12171/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4718/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84672/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43657/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/209007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208939/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208940/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208943/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208946/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/43741/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 43661, "uuid": "5a3b2face5604687b5bb9fd32fe96461", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from VIIRS (Visible Infrared Imaging Radiometer Suite) on NOAA-20 (National Oceanic and Atmospheric Administration), level 3 collated (L3C) global product (2018-2024), version 1.00", "abstract": "This dataset contains land surface temperatures (LSTs) and their uncertainty estimates from the Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water.\r\n\r\nDaytime and night-time temperatures are provided in separate files corresponding to the daytime and nighttime NOAA-20 equator crossing times which are 13:25 and 01:25 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class.\r\n\r\nThe dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. VIIRS achieves full Earth coverage twice per day. LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface.\r\n\r\nDataset coverage starts on 5th January 2018 and continues to 31st December 2024. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies.\r\n\r\nThe dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a two channel Generalised Split Window retrieval algorithm and data were processed in the UoL processing chain.\r\n\r\nThe European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).", "keywords": "Land Surface Temperature,VIIRS,Visible Infrared Imaging Radiometer Suite,soil,canopy", "publicationState": "citable", "dataPublishedTime": "2025-08-13T13:24:19", "doiPublishedTime": "2025-08-13T13:57:54", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44704/?format=api", "dataPath": "/neodc/esacci/land_surface_temperature/data/NOAA20_VIIRS", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4813845377503, "numberOfFiles": 5097, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12605/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4716/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66305/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84150/?format=api" ], "dataLineage": "The European Space Agency (ESA) funded the research and development of software to generate these data (ESA grant reference 4000123553/18/I-NB) in addition to funding the production of the data for 2012 to 2023. The data for 2024 and development of software for the production of the ICDR is funded by the UK Natural Environment Research Council (NERC grant reference number NE/X019071/1 Earth Observation Climate Information Service).\r\n\r\nVIIRS L1C data are downloaded from LAADS DAAC (Level 1 Atmosphere Archive and Distribution System Distributed Active Archive Centre). 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These data are global sub-daily surface meteorological data.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20250101_v3.4.1.2024f.nc. The station codes can be found under the docs tab. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., (2019), HadISD version 3: monthly updates, Hadley Centre Technical Note.\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. 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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). 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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). 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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). 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The data cover major pollutants, including Nitrogen Dioxide (NO2), Nitric Oxide (NO), Nitrogen Oxides (NOx), Ozone (O3), Particulate Matter smaller than 10 micrometres (PM10) and smaller than 2.5 micrometres (PM2.5), and Sulphur Dioxide (SO2). Each pollutant's concentrations are predicted not only as average (mean) values but also include estimates at lower (5th percentile), median (50th percentile), and upper (95th percentile) levels to highlight typical and potential extreme pollution scenarios.\r\n\r\nThe spatial coverage of the dataset includes the entire area of England, structured as an evenly spaced grid, with each grid square covering an area of 1 square kilometre (1 km^2). Data points correspond to the centre of these grid squares. Temporally, the dataset does not represent actual hourly measurements from specific dates; instead, it provides aggregated \"typical day\" profiles constructed by averaging observations collected from multiple years (2014-2018) for each month, weekday, and hour. This method offers representative insights into typical air pollution patterns, avoiding the complexity of handling large-scale raw datasets.\r\n\r\nThese pollution estimates were produced using a supervised machine learning method, which is a computational approach where algorithms are trained to identify patterns in historical data and apply these learned patterns to predict new data points. The predictions incorporated various environmental factors including weather conditions (e.g., temperature, wind, precipitation), human activities (traffic patterns), satellite measurements, land-use types (urban, rural, industrial areas), and emission inventories (datasets detailing pollutants released into the atmosphere). Additionally, the dataset provides uncertainty intervals through percentile-based estimates, giving users insights into the reliability of the predictions.\r\n\r\nThe dataset was developed to facilitate easier access to high-quality air pollution information for diverse stakeholders, such as researchers, policymakers, urban planners, and health professionals. By providing clear, simplified air quality scenarios, it helps users make informed decisions in urban planning, public health, environmental management, and policy development, as well as to assess potential impacts and interventions related to air pollution.\r\n\r\nThe dataset was created by Liam J. Berrisford at the University of Exeter during his PhD studies, supported by the UK Research and Innovation (UKRI) Centre for Doctoral Training in Environmental Intelligence. Full methodological details and data validation information are available in the associated open-access scientific publication. 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