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=9800
{ "count": 10253, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9900", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=9700", "results": [ { "ob_id": 44071, "uuid": "f2f4decdc409416f88766384c3eecfcc", "title": "SSP370-126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using 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 SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (SO2, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\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": 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"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/13719/?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/216678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210735/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210745/?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": 44073, "uuid": "c6fb411cd55f4420ab55d0f387577f8a", "title": "SSP370-NAE126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-NAE126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using 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 SSP370-NAE126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. North America and Europe are the regions bounded by 150W, 45W, 25N and 70N, and 20W, 45E, 35N, and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\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": 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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. 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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/13717/?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/216680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210762/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210771/?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": 44077, "uuid": "15b583553baf43ae99d3702fe52b7dfe", "title": "SSP370-EAS126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using 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 SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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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 SSP370-SAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\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": 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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/13715/?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/216682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210797/?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": 44085, "uuid": "e8ff943a6e304f8584ce0fb805974754", "title": "WESCON- Meteorological data from the Met Office AIMMS-30 instrument on board the JADE-one Dimona aircraft", "abstract": "Atmospheric data from the Met Office AIMMS-30: Aircraft Integrated Meteorological Measurement System onboard the JADE-one Dimona HK36 aircraft, operated by Jade University of Applied Sciences for 16 flights over the UK for WESCON - the WESsex Summertime CONvection project.\r\n\r\nThese flights took a range of paths across the area to coincide with ground-based radar observations at Chilbolton, Wardon Hill and Lyneham, and with FAAM and Uncrewed Airborne System (UAS) flights.\r\nDetails are:\r\no\tD00c - Calibration flight\r\no\tD001 - Salisbury Plain Training Area circuits\r\no\tD002 - Salisbury Plain Training Area circuits and FAAM intercomparison\r\no\tD003 - Chilbolton - Wardon Hill radars circuit\r\no\tD004/D005 Chilbolton - Wardon Hill radars circuit\r\no\tD006 Lyneham radar circuit\r\no\tD007 - Three circuits of the region\r\no\tD008 - L-patterns around Chilbolton. AIMMS calibration manoeuvres\r\no\tD009 - three L-patterns\r\no\tD010 - long flight-leg L-patterns\r\no\tD011 - long flight -leg L-patterns to coincide with FAAM measurements\r\no\tD012 - long flight -leg L-patterns to coincide with FAAM measurements, plus Chilbolton overflight\r\no\tD013 - long flight -legs including close passes of Chilbolton and ground sites\r\no\tD014 - long flight -leg L-patterns to coincide with regions of triple-Doppler radar overlap and UAS flights at Chilbolton\r\no\tD015 - FAAM intercomparison flight-legs and Chilbolton overflight in vicinity of UAS flights", "keywords": "aircraft, temperature, dew point, pressure, humidity, winds, water vapour, water, vapor", "publicationState": "citable", "dataPublishedTime": "2025-05-15T12:16:01", "doiPublishedTime": "2025-05-15T13:10:18.490635", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44081/?format=api", "dataPath": 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"identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13384/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/37501/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/37504/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210823/?format=api" ], "procedureAcquisition": 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degree) grids, produced by CRU at the University of East Anglia and funded by the UK National Centre for Atmospheric Science (NCAS), a NERC collaborative centre.\r\n\r\nThe CRU TS4.09 variables are cloud cover, diurnal temperature range, frost day frequency, wet day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2024.\r\n\r\nThe CRU TS4.09 data were produced using angular-distance weighting (ADW) interpolation. All versions prior to 4.00 used triangulation routines in IDL. Please see the release notes for full details of this version update. \r\n\r\nThe CRU TS4.09 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.", "keywords": "CRU, CRU TS, 4.09, CRU TS4.09, CRU TS 4, CRU TS 4.09,atmosphere, earth science, climate", "publicationState": "published", "dataPublishedTime": "2025-04-17T08:37:43", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44096/?format=api", "dataPath": "/badc/cru/data/cru_ts/cru_ts_4.09", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14986256116, "numberOfFiles": 586, "fileFormat": "Data are provided in ASCII and NetCDF formats." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12310/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The CRU TS data are produced by the Climatic Research Unit (CRU) at the University of East Anglia and are passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution. Previous releases of the CRU TS data include:\r\nCRU TS 4.09 was provided to CEDA for archival in April 2024.\r\n\r\nCRU TS 4.08 was provided to CEDA for archival in July 2024.\r\n\r\nCRU TS 4.07 was provided to CEDA for archival in June 2023.\r\n\r\nCRU TS 4.06 was provided to CEDA for archival in May 2022.\r\n\r\nCRU TS 4.05 was provided to CEDA for archival in June 2021.\r\n\r\nCRU TS 4.04 was provided to CEDA for archival in April 2020.\r\n\r\nCRU TS 4.03 was provided to CEDA for archival in May 2019. \r\n\r\nCRU TS 4.02 was provided to CEDA for archival in December 2018. \r\n\r\nCRU TS 4.01 was provided to CEDA for archival in September 2017. \r\n\r\nCRU TS 4.00 was provided to CEDA for archival in March 2017. \r\n\r\nCRU TS 3.24.01 was provided to CEDA for archival in January 2017. This is the latest version available and is a replacement for the withdrawn dataset 3.24, it supersedes all previous data versions (which are available to allow user comparisons)\r\n\r\nCRU TS 3.24 was provided to CEDA for archival in July 2016. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons), v3.24 has been withdrawn.\r\n\r\nCRU TS 3.23 was provided to CEDA in October 2015 by CRU. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons).\r\n\r\nCRU TS 3.22 was provided to CEDA for archival in July 2014 by CRU.\r\n\r\nCRU TS 3.21 was provided to CEDA for archival in July 2013 by CRU.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In July 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.10.01 In July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210832/?format=api", 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"a5205eb0b3324c98b0bf3c50734fd9e1", "title": "WOEST: meteorological and wind observations by sensors on the MetSprite UAS -Version 2.1", "abstract": "Meteorological and wind observations made by sensors on the MetSprite Uncrewed Airborne System (UAS) operated by Menapia for the Wessex convection (WesCon) experiment Observing the Evolving Structures of Turbulence (WOEST) project. \r\nThis version 2.1 dataset contains air temperature, pressure, relative humidity, wind, geographic location and platform information for 31 days of flying during the intensive measurement campaign from June to August 2023.", "keywords": "UAS", "publicationState": "citable", "dataPublishedTime": "2025-08-05T13:36:22", "doiPublishedTime": "2025-08-05T13:38:24.709759", "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44089/?format=api", "dataPath": "/badc/woest/data/wxUAS/v2.1/", "oldDataPath": [], "storageLocation": "internal", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84695/?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/13465/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43720/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43875/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210851/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44094/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44095, "uuid": "a71832549d3d4fd39831b4ae28c9174b", "title": "S-1 Offset Tracking and BOI dataset and 3D Displacements from 2025 Mw 7.7 Myanmar Earthquake ", "abstract": "This dataset includes Sentinel-1 Range and Azimuth Offset Tracking as well as Subswath and Burst Overlap Interferometry (SBOI) results, providing horizontal magnitude and full 3D displacement fields for the March 2025 Mw 7.7 Myanmar Earthquake. COMET delivers displacement fields at 0.001° (~100 m) resolution, with associated uncertainties, derived from a joint inversion of four Sentinel-1 tracks. From the 3D displacements, high-resolution horizontal motion magnitudes are also computed.", "keywords": "Earthquake", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12312/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4756/?format=api", "nonGeographicFlag": false, "phenomena": [], "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": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210894/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 44097, "uuid": "aae157a88d054346923e09c89b1f7fa9", "title": "Boreal winter seasonal hindcasts of the twentieth century with perturbed aerosol forcing", "abstract": "This data contains initialised seasonal hindcast experiments for 1925-2010 boreal winters, with perturbed aerosol forcing. Data was produced using ECMWF's Intergrated Forecasting System (IFS), and initialised from ECMWF's CERA-20C reanalysis data.\r\nThree types of hindcast experiment are included in this dataset:\r\nBestAer : These runs are control hindcasts, with aerosol mass mixing ratios consistent with CMIP6 forcings.\r\nDoubAer: These runs have aerosol mass mixing ratios at every latitude, longitude, vertical level and time step doubled relative to BestAer.\r\nHalfAer: These runs have aerosol mass mixing ratios at every latitude, longitude, vertical level and time step doubled relative to BestAer.\r\n\r\nHindcasts were started every 1 November from 1925 to 2010 (inclusive) and were run out for four months from the start date, with 21 ensemble members.\r\n\r\nThis dataset includes surface variables on a 1 degree lat/lon grid.", "keywords": "seasonal forecast,seasonal hindcast,aerosol perturbation,aerosol forcing,decadal variability", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12313/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4757/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data downloaded from the ECMWF MARS archive at the resolution provided here and converted to netcdf (from grib). The data were reformatted to remove the 'step' dimension and index each forecast by valid time.\r\nThe data were then delivered to the Centre for Environmental Data Analysis for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/44098/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210900/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210904/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210906/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210907/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210911/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210912/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44099/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 44100, "uuid": "90a87c8fd63c4520a33445e7b6a20688", "title": "CRU JRA v3.0: A forcings dataset of gridded land surface blend of Climatic Research Unit (CRU) and Japanese reanalysis (JRA) data; Jan.1901 - Dec.2024.", "abstract": "The CRU JRA V3.0 dataset is a 6-hourly, land surface, gridded time series of ten meteorological variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 degree latitude x 0.5 degree longitude grid, the grid is near global but excludes Antarctica (this is the same as the CRU TS grid, though the set of variables is different). The data are available at a 6 hourly time-step from January 1901 to December 2024.\r\n\r\nThe dataset is constructed by regridding data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA), adjusting where possible to align with the CRU TS 4.09 data (see the Process section and the ReadMe file for full details).\r\n\r\nThe CRU JRA data consists of the following ten meteorological variables: 2-metre temperature, 2-metre maximum and minimum temperature, total precipitation, specific humidity, downward solar radiation flux, downward long wave radiation flux, pressure and the zonal and meridional components of wind speed (see the ReadMe file for further details).\r\n\r\nThe CRU JRA dataset is intended to be a replacement of the CRU NCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRU NCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\nThis version of CRUJRA, v3.0 (1901-2024) is, where possible, adjusted to align with CRU TS monthly means or totals. A consequence of this is that, if CRU TS changes, then CRUJRA changes.\r\n\r\nFor this version, and version 4.07 of CRU TS, the CLD (cloud cover, %) variable is now actualised (converted from gridded anomalies) using the original CLD climatology and not the revised climatology introduced last year. This change/reversion is summarised here: https://crudata.uea.ac.uk/cru/data/hrg/cru_cl_1.1/Read_Me_CRU_CL_CLD_Reversion.txt\r\n\r\nSince CLD is used to align DSWRF, CRUJRA Downward Short Wave Radiation Flux (DSWRF) will now be 'closer to' version 2.2 and earlier and should be used in preference to v2.3.\r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Osborn, T.J., Jones, P. et al. Version 4 of the CRU TS\r\nmonthly high-resolution gridded multivariate climate dataset.\r\nSci Data 7, 109 (2020). https://doi.org/10.1038/s41597-020-0453-3\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. Jap., 93(1), 5-48\r\nhttps://dx.doi.org/10.2151/jmsj.2015-001", "keywords": "CRU, JRA, CRUJRA, atmosphere, earth science, climate", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44104/?format=api", "dataPath": "/badc/cru/data/cru_jra/cru_jra_3.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 423669517973, "numberOfFiles": 1241, "fileFormat": "The data are provided as gzipped NetCDF files, with one file per variable, per year." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12316/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The CRU JRA data are produced by the Climatic Research Unit (CRU) at the University of East Anglia and are passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/210929/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43096/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44101, "uuid": "ef237f578329487eb02fb42f9db56bb2", "title": "GloSATLAT.1.0.0.0: An observational record of global surface air temperature change over land from 1781", "abstract": "GloSATLAT is a global gridded data set of surface air temperature change over land since 1781. Data are provided as air temperature anomalies relative to 1961-1990 average conditions on a 5-degree latitude by 5-degree longitude grid. Time series of average temperature changes and their uncertainties are available for the globe and for a selection of regions.\r\n \r\nThe gridded data set is constructed using meteorological station temperature series from the GloSATLAT station database (GloSATLAT sdb). This is an extended version of the CRUTEM5 station database. The station series include bias adjustments for non-standard thermometer enclosures in the early instrumental period, prior to the use of standard instrumental shelters (Wallis et al., 2024). New climatological normal estimates are included for stations with limited data in the 1961–1990 baseline period, estimated using the Local Expectation Kriging method (Taylor et al., 2025), allowing a larger number of station series to contribute to the gridded data set.\r\n\r\nGloSATLAT uses the HadCRUT5 data processing system to produce the gridded data set, time series and uncertainty estimates.\r\n\r\n\r\nSources of additional information:\r\n The following papers are provided in the related documents section with further information about GloSATLAT and its underpinning data.\r\n\r\n Gridded dataset description:\r\n Morice, C. P., et al. (2025). An observational record of global gridded near surface air temperature change over land and ocean from 1781, Earth Syst. Sci. Data Discuss. https://doi.org/10.5194/essd-2024-500.\r\n\r\n Land station data processing:\r\n Taylor, M. et al. (2025, in review). GloSAT LATsdb: a global compilation of land air temperature station records with updated climatological normals from local expectation kriging. Submitted to Geoscience Data Journal.\r\n Wallis, E. J., et al. (2024). Quantifying exposure biases in early instrumental land surface air temperature observations. 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"accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44109, "uuid": "09a4b09c9fff46ca9cd438302302adee", "title": "WOEST: RHI and PPI scan measurements from the NCAS S-Band CAMRa Weather Radar unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO) Level 1, v1.0.0 (20230609-20230825)", "abstract": "RHI (range-height indicator) and PPI (plan-position indicator) measurements from the NCAS S-Band CAMRa Weather Radar unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO). 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GloSATref combines temperature series from land based meteorological stations with marine air temperature observation from ships. The use of marine air temperature (MAT) data differs from the typical use of sea-surface temperature (SST) data in global near surface temperature data sets, with the use of all-day MAT allowing the data set to extended further into the past than records based on SST. \r\n \r\n Data are provided as air temperature anomalies relative to 1961-1990 average conditions on a 5-degree latitude by 5-degree longitude grid. Time series of average temperature changes and their uncertainties are available for the globe and for a selection of regions. The gridded data set is produced using methods developed for the HadCRUT5 ensemble global temperature data set. Data is provided as a 200-member ensemble spatially infilled “analysis” data set. A “noninfilled” version of the data set is also provided.\r\n\r\nGloSATref uses the HadCRUT5 data processing system to produce the gridded data set, time series and uncertainty estimates.\r\n\r\nSources of additional information:\r\nThe following papers are provided in the related documents section with further information about GloSATref.1.0.0.0 and its underpinning data.\r\n\r\n Gridded dataset description:\r\n Morice, C. P., et al. (2025). An observational record of global gridded near surface air temperature change over land and ocean from 1781, Earth Syst. Sci. Data Discuss. https://doi.org/10.5194/essd-2024-500.\r\n\r\n Land station data processing:\r\n Taylor, M. et al. (2025, in review). GloSAT LATsdb: a global compilation of land air temperature station records with updated climatological normals from local expectation kriging. Submitted to Geoscience Data Journal.\r\n Wallis, E. J., et al. (2024). Quantifying exposure biases in early instrumental land surface air temperature observations. International Journal of Climatology, 44(5), 1611–1635. https://doi.org/10.1002/joc.8401\r\n\r\n Marine air temperature processing:\r\n Cropper, T. E., et al. (2023). Quantifying Daytime Heating Biases in Marine Air Temperature Observations from Ships. J. Atmos. Oceanic Technol., 40, 427–438, https://doi.org/10.1175/JTECH-D-22-0080.1.", "keywords": "GloSATref, air temperature, land surface temperature", "publicationState": "citable", "dataPublishedTime": "2025-06-19T15:52:48", "doiPublishedTime": "2025-06-19T16:11:03.228431", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44249/?format=api", "dataPath": "/badc/deposited2025/GloSAT/GloSATref-1-0-0-0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 17372986605, "numberOfFiles": 3436, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12314/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4760/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/85570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86014/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86016/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86017/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86018/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/86019/?format=api" ], "dataLineage": "Marine air temperature data are sourced from the GloSATMAT data set, also developed as part of the GloSAT project and a successor to the CLASSnmat data set. GloSATMAT adds new estimates of diurnal heating biases, enabling the use of daytime observations and allowing the extension of the dataset further into the past compared to nighttime-only marine air temperature data. \r\n \r\nLand air temperature station data is sourced from GloSATLAT station database (GloSATLAT sdb). This is an extended version of the CRUTEM5 station database. 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370 experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global anthropogenic forcing is taken from year 2050 of the ScenarioMIP SSP3-7.0 experiment. At least 30 years are requested.\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\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2025-07-16T16:14:01", "doiPublishedTime": "2025-11-19T09:25:12.493774", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44117/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MRI/MRI-ESM2-0/piClim-370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 62101699916, "numberOfFiles": 116, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12682/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4679/?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", 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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. 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested.\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. 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-NAE126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. North America and Europe are the regions bounded by 20W, 45E, 35N, and 70N, and 150W, 45W, 25N and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2025-09-25T15:56:53", "doiPublishedTime": "2025-11-19T09:25:48.860043", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44121/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MRI/MRI-ESM2-0/piClim-370-nae126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 62092013536, "numberOfFiles": 116, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12682/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4679/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", 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"dataLineage": "The simulations are initialised from the CMIP6 historical experiment. 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-AFR126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nMRI-ESM2-0: The Meteorological Research Institute Earth System Model Version 2.0 hosted at the Meteorological Research Institute, Japan (MRI)\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.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2025-09-24T07:56:33", "doiPublishedTime": "2025-11-19T09:26:25.045249", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44127/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MRI/MRI-ESM2-0/piClim-370-afr126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 62090441972, "numberOfFiles": 116, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12682/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4679/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-EAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-AFR126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Africa and the Middle East are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCESM2: the Community Earth System Model 2 hosted at the National Centre for Atmospheric Research (NCAR) in the US. \r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2025-05-14T12:21:41", "doiPublishedTime": "2025-11-19T09:27:11.500883", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44139/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCAR/CESM2/piClim-370-afr126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3366434017, "numberOfFiles": 55, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12681/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4678/?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", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/79865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82151/?format=api" ], "dataLineage": "The simulations are initialised from the CESM2 Large Ensemble (LE) historical experiments. The baseline SSP370 RAMIP experiment comes directly from the CESM2-LE project. In particular, CESM2 RAMIP uses 10 of the macroperturbation runs (i.e., each ensemble member is initialized from a different year in the preindustrial control simulation) that use an 11-year running mean filter to smooth the CMIP6 biomass burning emissions, including members\r\n\r\nAnthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13651/?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/44020/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211115/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43461/?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": 44140, "uuid": "8bfc884852f34c60ab5f97bedde5e661", "title": "SSP370-SAS126ca data produced by the GISS-E2-1-G model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-SAS126ca experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using GISS-E2-1-G. It contains NetCDF output from coupled transient simulations with regional carbonaceous aerosol reductions over South Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-SAS126ca coupled transient experiment runs from January 2015 to at least February 2051. Carbonaceous aerosol emissions (black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\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": "working", "dataPublishedTime": null, 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"dataLineage": "The coupled transient simulations are initialised from the CMIP6 historical experiment. 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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": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44087/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216844/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43454/?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": 44159, "uuid": "8cce78e3a2814276a8680226c01a8bc6", "title": "British Isles weather radar gridded composite time series data, including 3D reflectivity, dual-polarisation, and derived 2D quantities (June-August 2023)", "abstract": "This dataset consists of 3D spatial grids of weather radar reflectivity, which have 5-minute temporal, 1km horizontal, and 500m vertical resolution. They are constructed from UK weather radar network scans, provided by 16 radars in England, Scotland, Wales, Northern Ireland, and the Channel Islands.\r\n\r\nIn addition to the 3D, there are some 2D grids of fields derived from the vertical grid columns, including maximum column dBZ and vertically integrated liquid water. Please see descriptions below.\r\n\r\nNote – this dataset contains non-operational data products, with this time-limited dataset provided primarily to aid use within the ParaChute research programme.\r\n\r\nThe interpolation method used to arrive at the multi-radar gridded values is similar to that described in Zhang (2005). The reasons for choosing this method over another more recent one (Scovell and al-Sakka, 2016) can be found in Stein et al. (2020).\r\n\r\nThe horizontal domain spans X=[-405000, 1320000], Y=[-625000, 1550000] metres on the UK National Grid (EPSG:27700) projection. This is regularly spaced, with 2175 rows x 1725 columns, and is the same as the “Nimrod” grid used by RadarNet (Harrison et al., 2009). Grid points are located at the centres of each grid box (at X/Y coordinates ending in 500). The vertical is comprised of 24 evenly spaced 500m height levels in the range h=[250,11750] metres AMSL, with the first at 250m AMSL.\r\n\r\nThe data are temporally continuous, at 5-minute resolution, from 2023-06-01 00:00 UTC to 2023-08-31 23:55 UTC. An exception being for two periods of network outage, which are 2023-06-12 17:00-19:00 UTC, and 2023-08-14 08:00-09:00 UTC.\r\n\r\nThe 3D radar grids are formed using scan data following the operational scanning strategy of the UK. This favours low elevation angles, to aid with surface quantitative precipitation estimation. Thus, at higher altitudes, coverage can be sparse (Scovell and al-Sakka, 2016) and the observations are of relatively poor quality, being at long range. No 3D grid point has a data value that has been extrapolated beyond 2.5km range horizontally. Thus, there are large data voids ~10km, at the highest altitude levels. Smaller gaps can appear at lower altitudes. At the lowest levels, and at long range from a radar site, there may sometimes be no coverage. This is unavoidable, due to the curvature of the Earth.\r\n\r\nDATASETS\r\nThe data are stored in an HDF5 file format, with the standard HDF5-native gzip compression. The stored attributes and datasets are based on, but do not strictly adhere to, the ODIM data model specification (Michelson et al., 2008). \r\nThe following ODIM quantities encoded:\r\n•\tDBZH: 3D reflectivity composite\r\n•\tZDR: 3D ZDR composite\r\n•\tRHOHV: 3D Fisher-Z (arctanh) -transformed RHOHV composite\r\n•\tMAXDBZ: 2D “column maximum” , derived from DBZH. In numpy these are computed with np.max ( reflectivity, axis = 0)\r\n•\tVIL: 2D Vertically Integrated Liquid water, as in Green and Clarke (1972) \r\n•\tTOP45, TOP18: echo top heights (highest height level) for DBZH > 45/18\r\n•\tPOH: Probability of Hail; equal to f * ( TOP45 – height of T=0C isotherm ), as in DeLobbe and Holleman (2003). \r\n•\tVII, CRIT_IND: Vertically Integrated Ice and (lightning) Criterion Index, as defined in Mosier et al. (2011), and Haklander (2014).\r\n•\tSHI, POSH, MEHS: these are hail and lightning indices derived from formulae in Witt et al. (c. 1998)\r\nThe following caveats apply to the ODIM formatting:\r\n•\tUnofficial non-compliant ODIM attributes have been added to allow storage of 3D information in the ODIM HDF5 format.\r\n•\tThe metadata describing the 3D grids are not complete.\r\n\r\nSee the online resources section for full citations used on this record.", "keywords": "Met Office, weather radar, 3D radar, ParaChute", "publicationState": "published", "dataPublishedTime": "2025-05-01T07:33:43", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44202/?format=api", "dataPath": "/badc/woest/data/mo-rain-radar/2023_JJA_3d_radar_parachute/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 768148237713, "numberOfFiles": 186, "fileFormat": "Data are HDF5 formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12336/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/721/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75933/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75936/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75937/?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": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/44236/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43875/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211199/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/11595/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2532/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx", "label": "restricted: ukmo_wx group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf", "licenceClassifications": "academic" }, { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2533/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "ukmo_wx_gov", "label": "restricted: ukmo_wx_gov group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf", "licenceClassifications": "policy" } ], "discoveryKeywords": [] }, { "ob_id": 44163, "uuid": "46e100691e974b91a8aeb8cb3a100648", "title": "SSP370-EAS126aer data produced by the NorESM2-LM model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-EAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using NorESM2-LM. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-EAS126aer coupled transient experiment runs from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over East Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. East Asia is the region bounded by 95 and 133E and 20 and 53N. \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84194/?format=api" ], "dataLineage": "Three coupled transient simulations were intiliased from the end of the three historical experiment performed for CMIP6, using emission files based on ScenarioMIP. For the remaining coupled transient simulations initial condition were generated by restarting the three historical simulations at 1950 with microperturbations and restarting from the end of these simulations. \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/13499/?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/44218/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211232/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44165/?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": 44172, "uuid": "91291f05bd0c4a9982158281e3b3bd68", "title": "SSP370-126aer data produced by the NorESM2-LM model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using NorESM2-LM. It contains NetCDF output from coupled transient simulations with regional aerosol reductions over East Asia. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/. \r\n\r\nThe SSP370-126aer coupled transient experiment runs from January 2015 to at least February 2051. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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 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These observations were taken as part of Wessex convection experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230619 and 20230825.\r\n\r\nData products from this deployment include: sonde profile pressure, temperature, relative humidity, wind speed and direction.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The dataset at 5 km resolution is derived from the associated 1 km x 1 km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. 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(2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n \r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK river basins consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n \r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. 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The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK countries consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2024, but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n\r\n Changes to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence.", "keywords": "Met Office, UKCP18, BEIS, Defra, land surface, climate observations, hadobs", "publicationState": "citable", "dataPublishedTime": "2025-06-26T14:19:53", "doiPublishedTime": "2025-06-26T14:20:13", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44310/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.1.ceda/country/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14483437, "numberOfFiles": 163, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12364/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2309/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64067/?format=api" ], "dataLineage": "Data provided by the UK Met Office for archiving in the Centre for Environmental Data Analysis (CEDA) archives.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13435/?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/26862/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211429/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/26870/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44210, "uuid": "896792be61a241a88bb668b5adfdb353", "title": "HadUK-Grid Climate Observations by Administrative Regions over the UK, v1.3.1.ceda (1836-2024)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. These data at 1 km resolution have been averaged across a set of discrete geographies defining UK administrative regions consistent with data from UKCP18 climate projections. The dataset spans the period from 1836 to 2023 but the start time is dependent on climate variable and temporal resolution.\r\n\r\nThe gridded data are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the previous versions of this dataset which also superseded UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2019, see linked documentation).\r\n\r\nThe changes for v1.3.1.ceda HadUK-Grid datasets are as follows:\r\n\r\nChanges to the dataset\r\n* Added data for calendar year 2024\r\n* Extended the daily temperature grids back to 1931\r\n\r\nChanges to the input data\r\n* Incorporated additional daily rainfall data for 60 sites in Scotland, 1922-45\r\n* Incorporated additional monthly rainfall data for two sites - Westonbirt (1880-1951) & Ackworth School (1852-53)\r\n* Fixed a 1-day offset for sunshine duration values for six stations between 1971 and 1993\r\n* Corrected the daily rainfall data for Macclesfield, 1958-60 (the values had been stored in the wrong units)\r\n* Improved the quality control of the most recent three months of rainfall data (Oct-Dec 2024)\r\n* Removed Corpach from the wind speed grids (the station is poorly modelled - this only affects 14 months)\r\n* Reviewed the quality control flags that had been applied automatically to historical air and grass minimum temperature data. In many cases it was possible to remove the flags and this has allowed us to incorporate additional data into the grids for 1961-1997 for these variables.\r\n* Improved the business logic relating to data completeness. This affects monthly wind speed and has allowed us to re-introduce some of the data that were excluded in the previous release.\r\n\r\n* Net changes to the input station data:\r\n - Total of 131314637 observations\r\n - 126821432 (96.6%) unchanged \r\n - 105327 (0.08%) modified for this version\r\n - 4387878 (3.34%) added in this version\r\n - 44224 (0.03%) deleted from this version\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The output from a number of data recovery activities relating to 19th and early 20th Century data have been used in the creation of this dataset, these activities were supported by: the Met Office Hadley Centre Climate Programme; the Natural Environment Research Council project \"Analysis of historic drought and water scarcity in the UK\"; the UK Research & Innovation (UKRI) Strategic Priorities Fund UK Climate Resilience programme; The UK Natural Environment Research Council (NERC) Public Engagement programme; the National Centre for Atmospheric Science; National Centre for Atmospheric Science and the NERC GloSAT project; and the contribution of many thousands of public volunteers. The dataset is provided under Open Government Licence.", "keywords": "Met Office, UKCP18, BEIS, Defra, land surface, climate observations, hadobs", "publicationState": "citable", "dataPublishedTime": "2025-06-26T14:32:49", "doiPublishedTime": "2025-06-26T14:33:04", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44309/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.3.1.ceda/region/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 22164957, "numberOfFiles": 163, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12357/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2307/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50517/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64067/?format=api" ], "dataLineage": "Data provided by the UK Met Office for archiving in the Centre for Environmental Data Analysis (CEDA) archives.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13438/?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/26862/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211444/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/26870/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44219, "uuid": "f6b26e1ee17e43dfa296bd5225a27460", "title": "March 2015 Geomagnetic storm with SD-WACCM-X with AMIE electric potential", "abstract": "It is expected that very extreme space weather events such as geomagnetic storms will affect thermosphere. However, there are still open questions to address:\r\n• How does the thermosphere respond on a global scale to extreme solar wind forcing during geomagnetic storms?\r\n• To what extent does the global expansion of the high-latitude electric field to lower-latitudes affect the thermosphere?\r\n• Do the thermospheric parameters respond linearly to the associated increase in electric field?\r\nHere we use a specified-dynamics version of the Whole Atmosphere Community Climate Model with thermosphere and ionosphere Extension (WACCM-X) nudged with NASA's ModernEra Retrospective Analysis for Research and Applications (MERRA2) to simulate a geomagnetic storm event that occurred in 17-18 March 2015. The model has horizontal resolution of 1.9° latitude × 2.5° longitude and 145 vertical model levels from surface up to 1.4e-10 hPa (∼500 to ∼700 km, depending on solar activity).", "keywords": "CESM2,WACCM-X,MERRA2,Geomagnetic storm,Space Weather,electric potential", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12373/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4772/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "WACCM-X (cesm2.2.0 version, https://escomp.github.io/CESM/versions/cesm2.2/html/downloading_cesm.html) has been successfully ported on Leeds High-performance Advance Research Computing ARC4 (arc.leeds.ac.uk). The model input files are available through svn-ccsm-inputdata.cgd.ucar.edu/trunk/inputdata, MERRA2 is obtained from\r\nhttps://data.rda.ucar.edu/d313003/1.9x2.5/2015, AMIE electric potential for March 2015 is provided by Dr Gang Lu at NCAR.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/44220/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211467/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211479/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44234/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 44223, "uuid": "c73e478afb4745d6966025049e4de53a", "title": "piClim-370 data produced by the NorESM2-LM model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370 experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using NorESM2-LM. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370 experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global anthropogenic forcing is taken from year 2050 of the ScenarioMIP SSP3-7.0 experiment. At least 30 years are requested.\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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "citable", "dataPublishedTime": "2025-06-04T08:10:48", "doiPublishedTime": "2025-08-13T14:47:39", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44222/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/NCC/NorESM2-LM/piClim-370", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16944773739, "numberOfFiles": 292, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12680/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4680/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", 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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\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.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", 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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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-EAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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 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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. 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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\nNorESM2-LM: The Norwegian Earth System Model version 2 (NorESM2) is the second generation of the coupled Earth system model (ESM) developed by the Norwegian Climate Center.\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 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For the remaining coupled transient simulations initial condition were generated by restarting the three historical simulations at 1950 with microperturbations and restarting from the end of these simulations. \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/13508/?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/44218/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211531/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211533/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211535/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211536/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/44165/?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": 44239, "uuid": "f06f0b7bd1404ffda0d3142f4cd166fb", "title": "CRUTEM.5.0.2.0: Climatic Research Unit (CRU) gridded near-surface air temperature anomalies over land", "abstract": "CRUTEM (Climatic Research Unit TEMperature) is a gridded dataset of global historical near-surface air temperature anomalies over land at a monthly timescale. It is a collaborative product of the Climatic Research Unit at the University of East Anglia, the Met Office Hadley Centre and the National Centre for Atmospheric Science. CRUTEM also contributes the land air temperature station data to the global (land and ocean) temperature dataset called HadCRUT.\r\n \r\nCRUTEM5 is the fifth major version of the dataset, covering the time period from 1850, with a spatial resolution of 5° latitude by 5° longitude and a monthly-mean time resolution. The gridded temperature anomaly fields are based on a compilation of monthly-mean temperature observational records from weather stations. This compilation contains 10639 station records, but only 7983 records had the necessary coverage to be used for producing the gridded dataset. Anomalies are differences from average conditions in the 1961-1990 period. Hemispheric and global mean time series of land air temperature anomalies are also provided.\r\n\r\nCRUTEM.5.0.2.0 updates the version number from CRUTEM.5.0.1.0 to maintain consistency with versioning of the HadCRUT5 data set. 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Calculation of monthly averages is done by data providers.\r\nCompilation by National Meteorological Services (NMS) of multiple stations, with quality control and in some cases homogeneity assessment and homogenisation.\r\nCompilation by Climatic Research Unit (CRU) of data acquired from NMS and other compilations into a global station database.\r\nQuality control and outlier identification by CRU.\r\nQuality control and outlier identification by UK Met Office of near-real time data provided by NMS via global telecommunication systems.\r\nConversion to monthly temperature anomalies (relative to each station’s normal, i.e. the temporal mean over the 1961-1990 reference period) by CRU and Met Office.\r\nGridding of the station data onto a regular grid by CRU and Met Office.\r\nCalculation of uncertainties from multiple sources that affect each grid-cell value by Met Office.\r\nCalculation of global and hemispheric means, with uncertainties from multiple sources including incomplete spatial coverage, by CRU and Met Office.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13164/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12165/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211561/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32053/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44241, "uuid": "9acc391106e7436bb2206c21c66b35d6", "title": "Cloud camera observations during the WOEST campaign -June-October 2023", "abstract": "Cloud camera images taken during the Wessex convection (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST) campaign during the summer of 2023. This camera layout consists of three pairs of perspective cameras, arranged in a triangle and intersecting over the Chilbolton Atmospheric Observatory, along with a pair of all-sky cameras at Chilbolton.\r\n\r\nThe ARray of Ground-based Upwards-pointing Sensors (ARGUS) cameras were deployed over June and July 2023 and were operational until the end of September 2023. The cameras were scheduled to take images every 5 seconds. These images have been compressed to mp4 files to make them easier to retrieve over the 4G network during the observation period. Each file lasts one hour. Nighttime calibration images (of the star field) are provided for each camera.\r\n\r\nThe cameras were run using code available under doi: 10.5281/zenodo.10795301", "keywords": "cloud,camera, argus", "publicationState": "citable", "dataPublishedTime": "2025-05-12T16:38:03", "doiPublishedTime": "2025-05-19T14:21:28.356902", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44251/?format=api", "dataPath": "/badc/woest/data/imperial-argus-cameras", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 366394480981, "numberOfFiles": 45482, "fileFormat": "Mp4 and JPG" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12376/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4776/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84158/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84159/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84160/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84162/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84163/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/84191/?format=api" ], "dataLineage": "Data uploaded as created by the cameras. Truncated files (due to power issues) have been repaired using known-good file headers. Data were prepared by the project team before archiving at CEDA.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13390/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43720/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43875/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211574/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211581/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44242/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44243, "uuid": "306246329ae04eb3b2299446d911530a", "title": "CLASSnmat version 2: monthly, global, gridded night marine air temperature data", "abstract": "Climate Linked Atlantic Sector Science (CLASS)nmat is a global dataset of monthly mean night marine air temperature (NMAT) that is produced on a 5° latitude by 5° longitude regular grid and covers the period since 1880.\r\n\r\nThe temperature values are taken from version 3.0.0 of the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) for the period 1880-2014 and from version 3.0.2 of ICOADS thereafter. The in situ air temperature readings recorded between one hour after sunset and one hour after sunrise have been extracted from ICOADS and the ship data have been adjusted to reduce the effects of varying thermometer heights. The data have been adjusted from their respective recording heights to each of three reference heights: 2m, 10m and 20m. The air temperature readings have been subjected to a quality-control procedure and then the values have been aggregated to form gridded averages, with corresponding uncertainty estimates.\r\n\r\nThis dataset has been developed under the following NERC-funded projects: GloSAT (NE/S015647/2), CLASS (NE/R015953/1) and AtlantiS (NE/Y005589/1).", "keywords": "CLASS,temperature,marine,global", "publicationState": "citable", "dataPublishedTime": "2025-05-09T11:14:22", "doiPublishedTime": "2025-05-14T15:13:23.806341", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44247/?format=api", "dataPath": "/badc/deposited2025/Classnmat_v2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9619584318, "numberOfFiles": 3864, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12378/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4777/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/29133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/29134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/29135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/29136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82244/?format=api" ], "dataLineage": "In version 2 of CLASSnmat the following changes have been made to the construction of the dataset:\r\n- Ship Data from additional sources to ICOADS have been used\r\n- A refined Quality Control (QC) procedure has been used\r\n– An ensemble version of the Cornes et al. (2020) error model has been developed to produce a 200-member ensemble dataset\r\n\r\nDetails of these changes are documented in Morice et al. (2024).\r\n\t\r\nData 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/13383/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/44102/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211623/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/30639/?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": 44244, "uuid": "e6251bf935304cfbb9c9269dc7757a35", "title": "GloSATMAT: monthly, global, gridded marine air temperature data", "abstract": "GloSATMAT is a global dataset of monthly mean marine air temperature that is produced on a 5° latitude by 5° longitude regular grid and covers the period since 1784.\r\n\r\nThe temperature values are taken from version 3.0.0 of the International Comprehensive Ocean-Atmosphere Data Set (ICOADS) for the period 1784-2014 and from version 3.0.2 of ICOADS thereafter. The in situ air temperature readings have been extracted from ICOADS and the ship data have been adjusted to reduce the effects of varying thermometer heights and to remove artificial diurnal heating biases. The data have been adjusted from their respective recording heights to a reference height of 2m. The air temperature readings have been subjected to a quality-control procedure and then the values have been aggregated to form gridded averages, with corresponding uncertainty estimates.\r\n\r\nThis dataset has been developed under the following NERC-funded projects: GloSAT (NE/S015647/2), CLASS (NE/R015953/1) and AtlantiS (NE/Y005589/1).", "keywords": "Marine,Temperature,Climate", "publicationState": "citable", "dataPublishedTime": "2025-05-14T14:47:12", "doiPublishedTime": "2025-05-14T15:13:13.751960", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44250/?format=api", "dataPath": "/badc/deposited2025/GloSAT/GloSATMAT", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2607396718, "numberOfFiles": 3099, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12380/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4779/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/29133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/29134/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/29135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/29136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31691/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31692/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/75959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83974/?format=api" ], "dataLineage": "This dataset uses the same data processing as used in CLASSnmat v2. 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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 monthly temperature series are derived as the mean of the daily temperature series values.\r\n \r\nFor mean temperature, the monthly values from 1659 to 1771 are derived directly from Gordon Manley's monthly mean 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 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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": "2025-06-05T11:14:10", "doiPublishedTime": "2025-06-05T11:14:11.029618", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44265/?format=api", "dataPath": "/badc/ukmo-cet/data/v2.0.1.0/adjustments/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16171, "numberOfFiles": 8, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12406/?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. 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HadISDH.marine is a near-global gridded monthly mean marine surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from ships. The observations have been quality controlled and bias-adjusted. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2024.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the previous version to the end of 2024. Users are advised to read the update document in the Docs section for full details on all changes from the previous release.\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 HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I., 2020: Development of\r\nthe HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data,\r\n12, 2853-2880, https://doi.org/10.5194/essd-12-2853-2020\r\n\r\nFreeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E.,\r\nBerry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J.,\r\nRayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to\r\nthe historical marine climate record. 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These observations were taken as part of the Wessex Convection (WesCon) experiment - Observing the Evolving Structures of Turbulence (WOEST) between 20230524 and 20230906.\r\n\r\nData products from this deployment are grouped into two sets. \r\nIntensive observing period (IOP) data include RHI (range-height indicator) scans providing vertical cross-sections through individual storm cells.\r\nStandard observing period (SOP) data include a repeating sequence of (a) VPT – a vertically pointing dwell for 18 minutes; (b) VAD – a conical scan at an elevation 8° from zenith with the aim of measuring a vertical wind profile; (c) HSRHI – a sequence of of twelve horizon-to-horizon scans in elevation spaced by 30° in azimuth; and (d) BLPPI – a sequence of conical scans at a set of low elevations. The full SOP sequence was repeated every 30 minutes. \r\nVPT data are grouped into daily files and include measurements from additional vertical dwells during IOPs.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/211891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211895/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44292/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44293, "uuid": "e0ca70c643264ea0a68d04008499b87d", "title": "HadISDH.land: gridded global monthly land surface humidity data version 4.6.1.2024f", "abstract": "This is the HadISDH.land 4.6.1.2024f version of the Met Office Hadley Centre Integrated Surface Dataset of Humidity (HadISDH). HadISDH.land is a near-global gridded monthly mean land surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from weather stations. The observations have been quality controlled and homogenised. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2024. \r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the previous version to the end of 2024. Users are advised to read the update document in the Docs section for full details on all changes from the previous release.\r\n\r\nAs in previous years, the annual scrape of NOAAs Integrated Surface Dataset for HadISD.3.4.1.2024f, which is the basis of HadISDH.land, has pulled through some historical changes to stations. This, and the additional year of data, results in small changes to station selection. The homogeneity adjustments differ slightly due to sensitivity to the addition and loss of stations, historical changes to stations previously included and the additional 12 months of data.\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 HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E.,\r\nJones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and\r\ntemperature record for climate monitoring, Clim. Past, 10, 1983-2006,\r\ndoi:10.5194/cp-10-1983-2014, 2014.\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station\r\ndata from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent\r\nDevelopments and Partnerships. Bulletin of the American Meteorological Society, 92,\r\n704-708, doi:10.1175/2011BAMS3015.1\r\n\r\nWe strongly recommend that you read these papers before making use of the data, more\r\ndetail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de\r\nPodesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface\r\nspecific humidity product for climate monitoring. 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HadISDH.extremes is a near-global gridded monthly land surface extremes index climate monitoring product. It is created from in situ sub-daily observations of wet bulb (converted from dew point temperature) and dry bulb temperature from weather stations. The observations have been quality controlled at the hourly level with strict temporal completeness thresholds applied at daily, monthly, annual, climatological and whole period scales to minimise biases. Gridbox months are assessed for inhomogeneity and scores provided (see Homogeneity Score Document in Docs). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2024.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for 27 different heat extremes indices based on the ET-SCI (Expert Team on Sector-Specific Climate Indices) framework. These indices capture a range of moderate to severe extremes. They utilise the daily maximum and minimum values of sub-daily dry bulb and wet bulb temperature observations. Note that these will most likely underestimate the true extremes even when hourly data are available. The data are designed for assessing large scale features over long time scales, ideally using the anomaly fields as these are less affected by sampling biases. Users are advised to cross-compare with national datasets other supporting evidence when assessing small scale localised features.\r\n\r\nThis version is the first with annual updates envisaged. An update record will be maintained in the Docs section.\r\n\r\nHadISD.3.4.1.2024f is the basis of HadISDH.extremes.\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 HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K, 2023: HadISDH.extremes Part 1: a gridded wet bulb temperature extremes index product for climate monitoring. Advances in Atmospheric Sciences, 40, 1952–1967, doi: 10.1007/s00376-023-2347-8. https://link.springer.com/article/10.1007/s00376-023-2347-8\r\n\r\nWillett, K. 2023: HadISDH.extremes Part 2: exploring humid heat extremes using wet bulb temperature indices. Advances in Atmospheric Sciences, 40, 1968–1985, doi: 10.1007/s00376-023-2348-7. https://link.springer.com/article/10.1007/s00376-023-2348-7\r\n\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station\r\ndata from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent\r\nDevelopments and Partnerships. 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HadISDH.blend is a near-global gridded monthly mean surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from ships and weather stations. The observations have been quality controlled and homogenised / bias adjusted. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2024.\r\n\r\nThe data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD).\r\n\r\nThis version extends the previous version to the end of 2024. It combines the latest version of HadISDH.land and HadISDH.marine and therefore their respective update notes. Users are advised to read the update documents in the Docs section for full details.\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 HadISDH blog: http://hadisdh.blogspot.co.uk/\r\n\r\nReferences:\r\n\r\nWhen using the dataset in a paper please cite the following papers (see Docs for link\r\nto the publications) and this dataset (using the \"citable as\" reference):\r\n\r\nWillett, K. M., Dunn, R. J. H., Kennedy, J. J. and Berry, D. I., 2020: Development of\r\nthe HadISDH marine humidity climate monitoring dataset. Earth System Sciences Data,\r\n12, 2853-2880, https://doi.org/10.5194/essd-12-2853-2020\r\n\r\nFreeman, E., Woodruff, S. D., Worley, S. J., Lubker, S. J., Kent, E. C., Angel, W. E.,\r\nBerry, D. I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J.,\r\nRayner, N. A., Rosenhagen, G. and Smith, S. R., ICOADS Release 3.0: A major update to\r\nthe historical marine climate record. International Journal of Climatology.\r\ndoi:10.1002/joc.4775.\r\n\r\nWillett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E.,\r\nJones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and\r\ntemperature record for climate monitoring, Clim. Past, 10, 1983-2006,\r\ndoi:10.5194/cp-10-1983-2014, 2014.\r\n\r\nDunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station\r\ndata from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491.\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent\r\nDevelopments and Partnerships. Bulletin of the American Meteorological Society, 92,\r\n704-708, doi:10.1175/2011BAMS3015.1\r\n\r\nWe strongly recommend that you read these papers before making use of the data, more\r\ndetail on the dataset can be found in an earlier publication:\r\n\r\nWillett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de\r\nPodesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface\r\nspecific humidity product for climate monitoring. Climate of the Past, 9, 657-677,\r\ndoi:10.5194/cp-9-657-2013.", "keywords": "HadISDH, blend, humidity, surface, marine, gridded, station, specific humidity, temperature, dew point temperature, wet bulb temperature, dew point temperature, vapour pressure, in-situ", "publicationState": "citable", "dataPublishedTime": "2025-06-25T09:53:37", "doiPublishedTime": "2025-06-25T09:54:34", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44299/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadISDH-blend/mon/HadISDHTable/r1/v1-5-1-2024f", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 180232956, "numberOfFiles": 8, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12391/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, 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PFTs can be related to physiognomy and phenology, climate (which defines the geographical ranges in which a plant type can grow and reproduce under natural conditions, and physiological activity (e.g., C3/C4 photosynthetic pathways).\r\n\r\nAll terrestrial zones of the Earth between the parallels 90°N and 90°S are covered. The PFT dataset has a regular latitude-longitude grid with a grid spacing of 0.002777777777778°, corresponding to ~300 m at the equator and ~200 m in the midlatitudes. The Coordinate Reference System used for the global land cover database is a geographic coordinate system (GCS) based on the World Geodetic System 84 (WGS84) reference ellipsoid.\r\n\r\nThe plant functional type (PFT) distribution was created by combining auxiliary data products with the CCI MRLC map series. The LC classification provides the broad characteristics of the 300 m pixel, including the expected vegetation form(s) (tree, shrub, grass) and/or abiotic land type(s) (water, bare area, snow and ice, built-up) in the pixel. For some classes, the class legend specifies an expected range for the fractional covers of the contributing PFTs and broadly differentiates between natural and cultivated vegetation. We used a quantitative, globally consistent method that fuses the 300-metre MRLC product with a suite of existing high-resolution datasets to develop spatially explicit annual maps of PFT fractional composition at 300 metres. The new PFT product exhibits intraclass spatial variability in PFT fractional cover at the 300-metre pixel level and is complementary to the MRLC maps since the derived PFT fractions maintain consistency with the original LC class legend. \r\n\r\nThis dataset was generated to reduce the cross-walking component of uncertainty by adding spatial variability to the PFT composition within a LC class. This work moved beyond fine-tuning the cross-walking approach for specific LC classes or regions and, instead, separately quantifies the PFT fractional composition for each 300 m pixel globally. The result is a dataset representing the cover fractions of 14 PFTs at 300 m for each year within the time range, consistent with the CCI MRLC LC maps for the corresponding year.\r\n\r\nThis study was carried out with the continued support of the European Space Agency Climate Change Initiative under the contract ESA/No.4000126564 Land_Cover_cci.", "keywords": "Land Cover, CCI, PFT", "publicationState": "published", "dataPublishedTime": "2025-09-30T11:01:48", "doiPublishedTime": null, "updateFrequency": "annually", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44873/?format=api", "dataPath": "/neodc/esacci/land_cover/data/pft/v2.0.81/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 51406699339, "numberOfFiles": 30, "fileFormat": "netcdf" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/10972/?format=api", "geographicExtent": 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"accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_landcover_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 44301, "uuid": "6c22eae41b52429eb23f00272c3e1baf", "title": "WOEST: RHI and PPI scan measurements from the NCAS S-Band CAMRa Weather Radar unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO) Level 1, v1.0.1 (20230602-20230825)", "abstract": "RHI (range-height indicator) and PPI (plan-position indicator) measurements from the NCAS S-Band CAMRa Weather Radar unit 1 deployed at the NCAS Chilbolton Atmospheric Observatory (CAO). These observations were taken as part of the WesCon - Observing the Evolving Structures of Turbulence (WOEST) project between 20230602 and 20230825.\r\nThis dataset contains level 1 processed data products version v1.0.1\r\n\r\nData products from this deployment include: rhi, ppi\r\nThis version v1.0.1 supersedes the previous version v1.0.0 and includes some additional observations that were not present previously.\r\n\r\nFor further details of this deployment and the associated dataset please see the internal file metadata.\r\n\r\nThese data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.", "keywords": "NCAS, observation measurements", "publicationState": "citable", "dataPublishedTime": "2025-05-20T16:33:23", "doiPublishedTime": "2025-08-01T10:17:30", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44302/?format=api", "dataPath": "/badc/ncas-cao/data/ncas-radar-camra-1/20230602_woest/v1.0.1", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 131357543689, "numberOfFiles": 18031, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12392/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4761/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83973/?format=api" ], "dataLineage": "Data were processed and prepared by the project team before delivery to the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13460/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43720/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43875/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211971/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/44111/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2522/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 44312, "uuid": "1bb6e56ea0814126952c45214b8e8f7f", "title": "Vertical Profiles of Ozone and other Trace Gases from OMI AURA - Version 2.14", "abstract": "This dataset contains version 2.14 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the OMI on-board AURA.", "keywords": "ozone, tropospheric ozone, satellite, observation, global, ESA CCI, OMI, AURA", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11104/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19260/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43018/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211983/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211991/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/44314/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 44315, "uuid": "ebb1bd2603cc4efc8ce1d745d03932b5", "title": "JNCC Sentinel-2 indices Analysis Ready Data (ARD) Normalised Difference Vegetation Index (NDVI) v2", "abstract": "NDVI is a widely used index that quantifies vegetation greenness and can provide an indication of vegetation health and vegetation density. It is calculated as the ratio between the near-infrared (NIR) and red bands. Positive values generally correspond to vegetation, with higher values reflecting healthy, dense vegetation.\r\n\r\nNDVI = (NIR – RED) / (NIR + RED)\r\n\r\nSentinel-2 NDVI (Defra/JNCC ARD bands) = (B07 – B03) / (B07 + B03)\r\n\r\nEquivalent ESA Sentinel-2 bands: B08, B04\r\n\r\nData are provided in EPSG: 27700 OSGB36 / British National Grid, with a pixel size of 10m, and data is pixel-aligned to the source ARD file. No-data pixels are set to a value of -9999.\r\n\r\nThese data have been created by the Joint Nature Conservation Committee (JNCC) as part of the “Earth observation-based habitat change detection” project. This project is funded by the Department for Environment, Food and Rural Affairs (Defra) as part of the Natural Capital and Ecosystem Assessment (NCEA) programme. The project seeks to facilitate the effective uptake and use of Earth Observation data by producing data and tools for investigating and detecting parcel-level change in habitats and habitat condition. \r\n\r\nThe dataset contains NDVI, NDMI, NDWI, NBR and EVI2 indices derived from Defra and JNCC Sentinel-2 ARD. Index files have been generated for Sentinel-2 granules covering England and Scotland for the period from 2015 to 2025. Note that new unmasked index files (v2) have superseded the previous masked index files (v1). Masked files will no longer be produced. Users can mask the new index files if required using the cloud and topographic shadow masks provided with the ARD, or masks of their choice. \r\n\r\nContains modified Copernicus Sentinel data 2015-2025", "keywords": "JNCC, ARD, NDVI, Sentinel 2, EO indices, Analysis Ready Data, Sentinel, Normalised Difference Vegetation Index, NCEA", "publicationState": "published", "dataPublishedTime": "2025-07-09T07:24:21", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/44316/?format=api", "dataPath": "/neodc/sentinel_ard/products/indices/sentinel_2/ndvi/v2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16696178679447, "numberOfFiles": 60828, "fileFormat": "These data are provided in Cloud Optimized GeoTIFF (COG) format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12395/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4785/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Contains modified Copernicus Sentinel data 2015-2025\r\n\r\nData 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/13393/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/44948/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211998/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/212001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211995/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/44319/?format=api", "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": 44320, "uuid": "35fb8318798e437ba5b108e5eca6e92d", "title": "Monthly Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.0.0", "abstract": "The Central England Temperature (HadCET) monthly series start in 1659 for mean temperature and 1878 for minimum and maximum 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 monthly temperature series are derived as the mean of the daily temperature series values.\r\n \r\nFor mean temperature, the monthly values from 1659 to 1771 are derived directly from Gordon Manley's monthly mean 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 (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. 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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).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. 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