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=6900
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=7000", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=6800", "results": [ { "ob_id": 31504, "uuid": "6f464d727fe3407e877ce06705f62959", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aqua-p4K-lwoff\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the National Center for Atmospheric Research (NCAR) CESM2 model output for the \"aquaplanet with uniform 4K SST increase and with longwave cloud radiative effects off\" (aqua-p4K-lwoff) experiment. These are available at the following frequencies: Amon, day and fx. The runs included the ensemble member: r1i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM2, aqua-p4K-lwoff, Amon, day, fx", "publicationState": "published", "dataPublishedTime": "2020-07-09T09:56:41.902961", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31505/?format=api", "dataPath": "/badc/cmip6/data/CMIP6/CFMIP/NCAR/CESM2/aqua-p4K-lwoff", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1790433130, "numberOfFiles": 13, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8618/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/7769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/7775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18948/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27631/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/28147/?format=api" ], "dataLineage": "Data were produced and verified by National Center for Atmospheric Research (NCAR) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/28424/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/28466/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139337/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/167595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/167596/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31506/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2520/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31507, "uuid": "7b05ce41e9064a398789806a81e5bec8", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"historical\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the \"all-forcing simulation of the recent past\" (historical) experiment. These are available at the following frequency: Amon. The runs included the ensemble members: r1i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CAS, CAS-ESM2-0, historical, Amon", "publicationState": "published", "dataPublishedTime": "2020-07-09T09:58:49.946084", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31508/?format=api", "dataPath": "/badc/cmip6/data/CMIP6/CMIP/CAS/CAS-ESM2-0/historical", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 95650010177, "numberOfFiles": 97, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8619/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/9045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50498/?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/50549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50557/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53129/?format=api", 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"dataLineage": "Data were produced and verified by Chinese Academy of Sciences (CAS) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30660/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/31509/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/167597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/167598/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31510/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2520/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31511, "uuid": "7315f9eacc144bd5b134558249b0ef35", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"1pctCO2\" experiment", "abstract": "The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) FGOALS-g3 model output for the \"1 percent per year increase in CO2\" (1pctCO2) experiment. These are available at the following frequencies: Amon and fx. The runs included the ensemble members: r1i1p1f1, r2i1p1f1 and r3i1p1f1.\n\nCMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6).\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CAS, FGOALS-g3, 1pctCO2, Amon, fx", "publicationState": "published", "dataPublishedTime": "2020-07-09T10:00:57.342720", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31512/?format=api", "dataPath": "/badc/cmip6/data/CMIP6/CMIP/CAS/FGOALS-g3/1pctCO2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 37431756751, "numberOfFiles": 577, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8620/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50498/?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/50554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62737/?format=api" ], "dataLineage": "Data were produced and verified by Chinese Academy of Sciences (CAS) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30660/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30676/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/139369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/167599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/167600/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31513/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2520/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31514, "uuid": "415a5ddd9c444adaaacc1a25a7248bb0", "title": 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These are available at the following frequencies: Amon and fx. 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(“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC2CH4rcp85: Similar to ref-C2 but the methane surface-mixing ratio follows the RCP 8.5 scenario (Meinshausen et al., 2011), all other GHGs and forcings follow RCP 6.0.\r\nsenC2fCH4: Similar to ref-C2 but the methane surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels.\r\nsenC2rcp26: The same as ref-C2, but with the GHG scenario changed to RCP 2.6 (Meinshausen et al., 2011). \r\nsenC2rcp45: The same as ref-C2, but with the GHG scenario changed to RCP 4.5 (Meinshausen et al., 2011). \r\nsenC2rcp85: The same as ref-C2, but with the GHG scenario changed to RCP 8.5 (Meinshausen et al., 2011).", "keywords": "IGAC, SPARC, WCRP, CCCma, CMAM, CCMI-1, ref-C1, ref-C1SD, ref-C2, senC2CH4rcp85, senC2fCH4, senC2fGHG, senC2fN2O, senC2fODS, senC2rcp26, senC2rcp45, senC2rcp85", "publicationState": "published", "dataPublishedTime": "2021-03-10T21:56:56", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31731/?format=api", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/CCCma", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4385289267886, "numberOfFiles": 9664, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8684/?format=api", "geographicExtent": 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"dataLineage": "The CCMI-1 model output uses CMOR to convert data to CF netCDF. 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(“SD” stands for specified dynamics.)\r\nref-C2: Simulations spanning the period 1960–2100. The experiments follow the WMO (2011) A1 baseline scenario for ozone depleting substances and the RCP 6.0 (Meinshausen et al., 2011) for other greenhouse gases, tropospheric ozone (O3) precursors, and aerosol and aerosol precursor emissions.\r\nsenC2fGHG: Similar to ref-C2 but with greenhouse gasses (GHGs) fixed at their 1960 levels, and sea surface and sea ice conditions prescribed as the 1955–1964 average (where these conditions are imposed).\r\nsenC2fCH4: Similar to ref-C2 but the methane surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fN2O: Similar to ref-C2 but the nitrous oxide surface-mixing ratio is fixed to its 1960 value.\r\nsenC2fODS: Similar to ref-C2 but with ozone-depleting (halogenated) substances (ODSs) fixed at their 1960 levels.\r\nsenC2fODS2000: The same as ref-C2 but with ODSs fixed at their year 2000 levels. \r\nsenC2rcp26: The same as ref-C2, but with the GHG scenario changed to RCP 2.6 (Meinshausen et al., 2011). \r\nsenC2rcp45: The same as ref-C2, but with the GHG scenario changed to RCP 4.5 (Meinshausen et al., 2011). \r\nsenC2rcp85: The same as ref-C2, but with the GHG scenario changed to RCP 8.5 (Meinshausen et al., 2011). \r\nsenC2SlrTrnd: Reduction of solar activity akin to the Maunder Minimum of the 17th and 18th centuries.", "keywords": "IGAC, SPARC, WCRP, CCSR-NIES, MIROC3.2, CCMI-1, ref-C1, ref-C1SD, ref-C2, senC2fCH4, senC2fGHG, senC2fN2O, senC2fODS, senC2fODS2000, senC2rcp26, senC2rcp45, senC2rcp85, senC2SlrTrnd", "publicationState": "published", "dataPublishedTime": "2021-03-10T22:37:27", "doiPublishedTime": null, "updateFrequency": "", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31747/?format=api", "dataPath": "/badc/wcrp-ccmi/data/CCMI-1/output/NIES", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5165171559184, "numberOfFiles": 5462, "fileFormat": "NetCDF" }, "timePeriod": 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All variables are outputted at 3- or 6-hourly intervals. Variables are separated into individual netCDF files, which are either two dimensional (for example surface for near-surface meteorological fields) or three dimensional (for example atmospheric profiles), over time.\r\n\r\nThe region covered is the central and northern Antarctic Peninsula, centred on the Larsen C ice shelf. The simulations are gridded on rotated pole coordinates and cover the period 01-01-1998 00:00 UTC to31-12-2017 23:59 UTC.\r\n\r\nA dynamically downscaled regional (limited area) version of the UM is run in atmosphere-only mode at 4.0 km horizontal grid spacing, with 70 vertical levels and a 100 second time step for the inner domain. The model is re-initialised from ERA-Interim reanalysis data every 12 hours, and the time series is produced by concatenating the t+12 hour to t+24 hr segments of each integration into a continuous time series. Specifics of the model configurations and parameterisations used to produce the simulations are documented in Gilbert et al. (2020) (doi: 10.1002/qj.3753).\r\n\r\nThese simulations were produced as part of the doctoral work of E. Gilbert, and was supported by the Natural Environment Research Council through the EnvEast Doctoral Training Partnership (grant number NE/L002582/1). E. 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Simulations were run as individual years and concatenated into continuous time series using the command-line version of the xconv tool (http://cms.ncas.ac.uk/documents/xconv/) The data were then sent to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/31775/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168942/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31776/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31783, "uuid": "b4ba8f11459c422d84d7293b9211ccf7", "title": "Iceland Greenland Seas Project (IGP): surface layer meteorological measurements on board the NATO Research Vessel Alliance", "abstract": "This dataset contains surface layer meteorological measurements that were made during the Iceland Greenland Seas Project (IGP) field campaign from a variety of observation platforms, including several WeatherPack systems, RPG Hatpro Radiometer and a Windcube LIDAR. \r\n\r\nThis dataset presents a quality controlled combination of observations from these instruments, as indicated by the data origin flags. 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The model used was the United Kingdom Earth System Model 1.0 (UKESM1.0), in an atmosphere-only nudged configuration, with Met Office Unified Model version 11.5. The data is on a global N96 grid (192 x 144 points), and covers the years 2012, 2013, and 2014. These data were used to study the effect of COVID-19 lockdowns (simulated scenarios) on atmospheric composition and radiative forcing.\r\n\r\nThe dataset includes data used in the paper submitted to Geophysical Research Letters (GRL) August 2020 with title 'Minimal climate impacts from short-lived climate forcers following emission reductions related to the COVID-19 pandemic'. See Details/Docs tab for a link to this. For this purpose, there are four experimental integrations (a1, a2, a3, a4), and a control (con) for each year. The files are labelled using variable codes such as m01s34i001 to determine the model variable field contained. A full description of what these are can be found in the included docs/file variable_codes.txt.\r\n\r\nThe data are in NetCDF format, and were generated from the following suites: u-bt034, u-bt090, u-bt091, u-bt092, u-bt637, u-bt341, u-bt342, u-bt343, u-bt344, u-bt926, u-bt375, u-bt376, u-bt377, u-bt378, u-bt927. \r\n\r\nThis is a NERC funded project.", "keywords": "COVID19, covid, emissions, aerosol, simulations", "publicationState": "citable", "dataPublishedTime": "2020-08-28T07:26:26", "doiPublishedTime": "2020-08-28T13:29:06", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31807/?format=api", "dataPath": "/badc/deposited2020/COVID19_emiss_reduc_study/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1506332387555, "numberOfFiles": 8198, "fileFormat": "The data are in NetCDF format." }, "timePeriod": 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Data extracted from MASS to JASMIN as PP files. Converted to CF-compliant NetCDF format using Python 3.7.1.\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/10747/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/31799/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140321/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140310/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140308/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140317/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/148579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140316/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140318/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140320/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/4335/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31811, "uuid": "b0c3f8b3db16434f80f833aa914e2bd4", "title": "FRANC: Ensemble member output from UK Met Office Unified Model runs supporting analysis of convective-scale perturbation growth across a spectrum of convective regimes", "abstract": "Forecasting Rainfall exploiting new data Assimilation techniques and Novel observations of Convection (FRANC): Ensemble member output from Unified Model runs as described in Flack et al. (2018): Convective-Scale Perturbation Growth Across the Spectrum of Convective Regimes, Monthly Weather Review, 146, 387-405\r\n\r\nThe dataset contains ensemble run output from 36 hour long runs under different model set ups (see details below) for 6 case studies (see Flack et al. 2018 for greater detail). The case studies (and model output available in the dataset) chosen related to a spectrum of 'convective adjustment time scales', defined as the ratio between the convective available potential energy (CAPE) and its rate of release at the convective scale. 'control' run files contain large scale rainfall rates and amounts whilst the 'control_multilevel' files contain various parameters on various levels, including mean sea level pressure, zonal, meridional and vertical wind components, specific humidity and temperature.\r\n\r\n- Case A: 20th April 2012, part of the Dynamical and Microphysical Evolution of Convective Storms (DYMECS) field experiment (Stein et al. 2015), showing typical conditions for scattered showers in the United Kingdom.\r\n- Case B: 12 August 2013, for a case where a surface low was situated over Scandinavia and the Azores high was beginning to build, leading to persistent northwesterly flow.\r\n- Case C: 23rd July 2013, relating to the fifth intensive observation period (IOP 5) of the Convective Precipitation Experiment (COPE; Leon et al. 2016). A low pressure system was centered to the west of the United Kingdom with several fronts ahead of the main center, which later decayed.\r\n- Case D: 2nd August 2013, covering IOP 10 of the COPE field campaign, with convection initiating at 1100 UTC. The synoptic situation shows a low pressure system centered to the west of Scotland, which led to southwesterly winds and a convergence line being set up along the North Cornish coastline (in southwest England).\r\n- Case E: 27th July 2013, covers the period of IOP 7 of the COPE field campaign where two mesoscale convective systems (MCS) influenced the U.K.’s weather throughout the forecast period.\r\n- Case F: 5th August 2013, was chosen for the complex situation for considering convective-scale perturbation grown and a second case driven by the boundary conditions as seen during IOP 12 of the COPE campaign\r\n\r\nA brief description of the model run IDs and model setup is given below.\r\n\r\nThe model used to create these ensembles is the Met Office Unified Model (MetUM). The United Kingdom Variable resolution (UKV) configuration is used, and so the data has a grid spacing of approximately 1.5 km. This was run at version 8.2 and run with the MetUM Graphical User Interface (GUI).\r\n\r\nrun ID: xkyib\r\n\r\nThis is the control experiment and everything is kept identical to the operational running of this configuration of the MetUM.\r\n\r\nrun ID: xldef\r\n\r\nHere the Gaussian potential temperature perturbations are added into the model. Full details of the perturbation method are described in Flack et al. (2018) Convective-Scale Perturbation Growth Across the Spectrum of Convective Regimes, Monthly Weather Review, 146, 387-405, however a brief overview is given below:\r\n\r\nA Gaussian distribution (defined using random numbers between +/- 1 at each grid point, with the seed determined by the time the model is ran) is created at every grid point in the domain. A superposition is created and rescaled to 0.1 K so as to be an appropriate amplitude for boundary layer noise. Each of the Gaussian distributions have a standard deviation of 9km so as to be added onto an appropriate scale for the model. The perturbations are added in at a model hybrid height of 261.6 m (approximately the 8th model level).", "keywords": "convection, ensemble runs, CAPE, perturbation", "publicationState": "citable", "dataPublishedTime": "2020-09-11T11:07:46", "doiPublishedTime": "2020-09-11T13:20:27", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31812/?format=api", "dataPath": "/badc/deposited2020/franc/data/franc_um", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 818300289217, "numberOfFiles": 867, "fileFormat": "Data are PP binary formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8712/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/920/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25035/?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/10749/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11981/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/31970/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140324/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140325/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140419/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/31819/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31822, "uuid": "222cf11f49a94d2da8a6da239df2efc4", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): Altimeter along-track high resolution sea level anomalies in some coastal regions (2002-2018) from the JASON satellites, v1.1", "abstract": "This dataset contains along-track sea level anomalies derived from satellite altimetry. Altimeter along-track sea level measurements from the Jason-1, Jason -2 and Jason-3 satellite missions have been processed to produce high resolution (20 Hz, corresponding to an along-track distance of ~300m) sea level anomalies, in order to provide long-term homogeneous sea level time series as close to the coast as possible in six different coastal regions (North-East Atlantic, Mediterranean Sea, Western Africa, North Indian Ocean, South-East Asia and Australia). These six time series cover the period from 15 January 2002 to 30 May 2018.\r\n\r\nThe product benefits from the spatial resolution provided by high-rate data, the Adaptive Leading Edge Subwaveform Retracker (ALES) and the post-processing strategy of the along-track (X-TRACK) algorithm, both developed for the processing of coastal altimetry data, as well as the best possible set of geophysical corrections. \r\n\r\nThe main objective of this product is to provide accurate altimeter Sea Level Anomalies (SLA) time series as close to the coast as possible in order to assess whether the coastal sea level trends experienced at the coast are similar to the observed sea level trends in the open ocean and to determine the causes of the potential discrepancies.\r\n\r\nThe product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). During the project, the product will be extended in spatial coverage and with additional altimeter missions. This version of the dataset is v1.1. 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These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. 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The extremes indices were developed by the former WMO Expert Team on Climate Change Detection and Indices (ETCCDI) and derived from daily, station-based observations. 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Ocean, Southeast Asia and Australia. Up to now, satellite altimetry has provided global gridded sea level time series up to 10-15 km from the coast only, preventing the estimation of how sea level changes very close to the coast on interannual to decadal time scales. \r\n\r\nThis dataset has been derived from the ESA SL_cci+ v1.1 dataset of coastal sea level anomalies (also available in the catalogue, DOI:10.5270/esa-sl_cci-xtrack_ales_sla-200206_201805-v1.1-202005), which is based on the reprocessing of raw radar altimetry waveforms from the Jason-1, Jason-2 and Jason-3 satellite missions to derive satellite-sea surface ranges as close as possible to the coast (a process called ‘retracking’) and optimization of the geophysical corrections applied to the range measurements to produce sea level time series. This large amount of coastal sea level estimates has been further analysed to produce the present dataset: it consists in a selection of 429 portions of satellite tracks crossing land for which valid sea level time series are provided at monthly interval together with the associated sea level trends over the 17-year time span at each along-track 20-Hz point, from 20 km offshore to the coast.\r\n\r\nThe main objective of this dataset is to analyze the sea level trends close to the coast and compare them with the sea level trends observed in the open ocean and to determine the causes of the potential differences.\r\n\r\nThe product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative (SL_cci+). See 'The Climate Change Coastal Sea Level Team (2020). Sea level anomalies and associated trends estimated from altimetry from 2002 to 2018 at selected coastal sites. Scientific Data (Nature), in press'.\r\n\r\nThis dataset has a DOI: https://doi.org/10.17882/74354", "keywords": "ESA CCI, SLA", "publicationState": "citable", "dataPublishedTime": "2020-10-12T11:08:36", "doiPublishedTime": null, "updateFrequency": "", "status": "deprecated", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31826/?format=api", "dataPath": "/neodc/esacci/sea_level/data/XTRACK_ALES_SLA/Trends_SelectedSites/v1.1_202006/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 35241840, "numberOfFiles": 430, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8719/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2717/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30282/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30284/?format=api" ], "dataLineage": "The product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative. 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The dataset was created as part of the NERC Flooding from Intense Rainfall (FRANC) project in order to study the observation uncertainties associated with Doppler radar radial wind observations assimilated in to the Met Office UK variable resolution model. The dataset is processed output of the Met Office UKV 3D var assimilation scheme for June, July and August 2013 for four different experimental scenarios. Full details and equations are given in Waller et al (2016) but the four different experimental cases are summarised as follows:\r\n\r\n- Case 1: Control experiment using standard UKV settings in place in January 2014\r\n- Case 2: As Case 1, but with a different background error covariance matrix used in the data assimilation\r\n- Case 3: As Case 1, but with raw Doppler radial wind observations rather than superobservations\r\n- Case 4: As Case 3, but with an improved observation operator.\r\n\r\nFor each case the dataset consists of the radial wind observations assimilated at each assimilation cycle valid between 01/06/2013 and 31/08/2016 along with the associated observation-minus-background and observation-minus-analysis residuals. Each observation also has metadata that describes the location of the observation (both in latitude/longitude co-ordinates, and co-ordinates relative to the radar station) , the assimilation cycle at which it was assimilated and the observation error variance that the observation was assigned in the data assimilation scheme. \r\n\r\nThese data are published under the Open Government License (http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) © Crown Copyright, 2020, Met Office”.", "keywords": "Doppler radial winds, data assimilation, convection permitting numerical weather prediction", "publicationState": "citable", "dataPublishedTime": "2020-09-30T10:41:42", "doiPublishedTime": "2020-10-05T10:57:05", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31849/?format=api", "dataPath": "/badc/deposited2020/franc/data/franc_radialwinds/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 239049050, "numberOfFiles": 5, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8730/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2701/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89712/?format=api" ], "dataLineage": "Observation data were quality controlled, superobservations were created and superobservations quality controlled before being assimilated with Met Office UKV background data. The data assimilation output was then prepared for archiving before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10753/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11981/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/31970/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140578/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140579/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140580/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140575/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140576/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140577/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140571/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140572/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140574/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/31850/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31858, "uuid": "232164e8b1444978a41f2acf8bbbfe91", "title": "Vol-Clim: UM-UKCA interactive stratospheric aerosol model summary data for perturbed parameter ensemble of volcanic eruptions", "abstract": "This dataset contains summary data (global monthly mean) of the volcanic stratospheric aerosol optical depth, effective radiative forcing, instantaneous radiative forcing and rapid adjustments from 82 model simulations of volcanic eruptions that have different sulfur dioxide emissions, eruption latitudes and emission altitudes. Two ensembles were conducted for eruptions starting in January and July. Each simulation was run for 38 months post eruption in a year 2000 timeslice condition. Unified Model- United Kingdom Chemistry and Aerosols Model simulations were conducted at a global resolution of 1.875° x 1.25°. \r\n\r\nOne file is included for each eruption. Simulation IDs as specified by the Unified Model User Interface are included in each file name. Eruption details are included as global attributes.\r\n\r\nThis data were collected as part of the NERC Reconciling Volcanic Forcing and Climate Records throughout the Last Millennium (Vol-Clim) project.", "keywords": "Vol-Clim, model, aerosol, volcanic, eruption", "publicationState": "citable", "dataPublishedTime": "2020-09-25T09:49:17", "doiPublishedTime": "2020-09-25T09:57:50.260263", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31855/?format=api", "dataPath": "/badc/deposited2020/vol-clim/data/UM-UKCA_volcanic_ensemble/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2201475, "numberOfFiles": 85, "fileFormat": "Data are netCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8731/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "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/51186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/89383/?format=api" ], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Data were generated using the UM-UKCA model. NetCDF's were made using iris-python. Rapid adjustments were calculated using a radiative kernel based on the HadGEM3-GA7.1 climate model and processed using python.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10750/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/31857/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140621/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140627/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140628/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168944/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140629/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31900/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31859, "uuid": "961892909b584a0c8d186931b6c0dddb", "title": "INCOMPASS: India Meteorology Department Doppler radar convective cell statistics", "abstract": "This dataset contains radar-derived measurements of cell-top height, size, 2 km reflectivity, and cell latitude and longitude from all convective cells between 14 May and 30 September 2016, where radar is available. The data was collected as part of the NERC/MoES Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) field campaign.\r\n\r\nThe seven sites analysed here represent four different Indian climate regions, allowing the study of the spatiotemporal development of convection during the 2016 monsoon season at high (1 km) resolution. Variation in these different cell statistics are found over timescales of variability such as the diurnal cycle, active-break periods, and monsoon progression.\r\n\r\nThe data were collected as part of the INCOMPASS field campaign May-July 2016, funded by Natural Environmental Research Council (NERC) (NE/L01386X/1). The aim of the project was to improve the skill of rainfall prediction in operational weather and climate models by way of better understanding and representation of interactions between the land surface, boundary layer, convection, the large-scale environment and monsoon variability on a range of scales.", "keywords": "NERC, INCOMPASS, monsoon, radar, cells", "publicationState": "citable", "dataPublishedTime": "2020-09-25T08:59:53", "doiPublishedTime": "2020-09-28T08:37:48.329836", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31868/?format=api", "dataPath": "/badc/sa-monsoon/data/incompass/convective-cells", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 64531021, "numberOfFiles": 8, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8732/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2703/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/64836/?format=api" ], "dataLineage": "Data were processed by the data provider and delivered to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10751/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19201/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/20240/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140631/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140632/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140630/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/31867/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31869, "uuid": "f29fdcae79374754bd16e7f66e6ed951", "title": "APHH: Ionic species data within PM2.5 measurements made at the Indira Gandhi Delhi Technical University for Women (IGDTUW) site during the pre and post monsoon periods for the DelhiFlux field campaign 2018", "abstract": "This dataset contains ionic data within PM2.5 measurements made during the Pre- Monsoon (28/05/2018 08:30:00 - 05/06/2018 17:30:00) and Post-Monsoon periods (09/10/2018 14:54:00 - 0\r\n6/11/2018 10:35:00) of the APHH Delhi campaigns in 2018 at Indira Gandhi Delhi Technical University for Women (IGDTUW) site. Measurements were conducted by the University of York High Volume Sampler (Ecotech 3000, Australia) and University of York Dionex ICS-1100 Ion Chromatography System.\r\n\r\nThe data were collected as part of the DelhiFlux project part of Air Pollution & Human Health in a Developing Indian Megacity (APHH-India) programme.", "keywords": "APHH, Delhiflux, PM2.5", "publicationState": "published", "dataPublishedTime": "2020-09-23T10:08:43", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31870/?format=api", "dataPath": "/badc/aphh/data/delhi/delhiflux/york-pm2.5", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 17498, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8734/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2612/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66080/?format=api" ], "dataLineage": "Data were collected, quality controlled and prepared for archiving by the instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24808/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/30221/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32625/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140661/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140663/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140667/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140670/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/31871/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31872, "uuid": "2cc63301f1854239aa61c70e58c61207", "title": "ESA Greenhouse Gases Climate Change Initiative (GHG_cci): Column-averaged carbon dioxide from TANSAT, generated with the OCFP algorithm, for selected validation sites, version 1.0", "abstract": "This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (CO2), derived from the TANSAT satellite, using the University of Leicester Full-Physics Retrieval Algorithm (UoL-FP, also known as OCFP). This dataset is also referred to as CO2_TAN_OCFP. The data covers the period from March 2017 to May 2018 and is provided for TCCON (Total Carbon Column Observing Network) validation sites only. A full global dataset is in production. For further information on the dataset, please see the linked documentation.\r\n\r\nThis data has been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, with support from the UK's National Centre for Earth Observation (NCEO).", "keywords": "ESA, CCI, satellite, TANSAT, atmosphere, carbon dioxide, CO2", "publicationState": "citable", "dataPublishedTime": "2020-09-29T13:22:53", "doiPublishedTime": "2020-10-05T10:53:42", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31914/?format=api", "dataPath": "/neodc/esacci/ghg/data/cci_plus/CO2_TAN_OCFP/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 116249978, "numberOfFiles": 327, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8747/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?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/66452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68630/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/68646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/70614/?format=api" ], "dataLineage": "Data were processed by the ESA CCI GHG project team and supplied to CEDA as part of the ESA CCI Open Data Portal Project. This data has been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, with support from the UK's National Centre for Earth Observation (NCEO).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10752/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13295/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12808/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140721/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140723/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140724/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140722/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141059/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/31873/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2564/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_ghg_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 31878, "uuid": "7cc70ebf9ebc46d483fb4f17a984a978", "title": "Iceland Greenland seas Project (IGP): meteorological buoy measurements", "abstract": "This dataset contains meteorological, sea water temperature, surface ocean currents and wave height, direction and period measurements from a Seawatch Wavescan meteorological buoy deployed in the northwest Iceland Sea for the Iceland Greenland seas Project (IGP). \r\n\r\nThis was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Amospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1). \r\n\r\nThe Seawatch Wavescan meteorological buoy was deployed during the first leg of the NATO Research Vessel Alliance cruise, on 21 February 2018. Its position in the northwest Iceland Sea was strategically placed adjacent to a subsurface mooring in the Eggvin Offset. The dataset contains standard meteorological variables, surface ocean currents and wave height, direction and period from the buoy. Sea water temperature measurements at 8 m depth from the co-located mooring beneath the buoy are included to replace failed sea surface temperature measurements from the buoy under the reasonable assumption that this was still within the surface ocean mixed layer in this region. Similarly, pressure measurements that failed for roughly half of the deployment are replaced by surface layer estimates from ECMWF's ERA5 reanalysis product interpolated to the position of the meteorological buoy, corroborated for the period the sensor was working. Otherwise the buoy worked well for 2.5 months, until it broke loose from its anchor and stopped recording on 6 May 2018 and was recovered soon after. Also provided in the dataset are bulk aerodynamic flux estimates generated using the COARE3.0a algorithm.", "keywords": "IGP, meterological, buoy, ocean currents, wave height", "publicationState": "published", "dataPublishedTime": "2020-09-23T15:41:45", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31879/?format=api", "dataPath": "/badc/igp/data/IGP_met_buoy_v5", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 439533, "numberOfFiles": 2, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7150/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2279/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92242/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92243/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92244/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92245/?format=api" ], "dataLineage": "Data delivered to the Centre for Environmental Data Analysis (CEDA) for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24899/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27445/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141347/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/31880/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2543/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": "unstated" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31883, "uuid": "8d85f664fc614ba0a28af3a2d7ef4533", "title": "MIDAS Open: UK hourly weather observation data, v202007", "abstract": "The UK hourly weather observation data contain meteorological values measured on an hourly time scale. The measurements of the concrete state, wind speed and direction, cloud type and amount, visibility, and temperature were recorded by observation stations operated by the Met Office across the UK and transmitted within SYNOP, DLY3208, AWSHRLY and NCM messages. The sunshine duration measurements were transmitted in the HSUN3445 message. The data spans from 1875 to 2019.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2019, historical data recovery has added temperature and weather data for Bude (1937-1958), Teignmouth (1912-1930), and Eskdalemuir (1915-1948).\r\n\r\nFor details on observing practice see the message type information in the MIDAS User Guide linked from this record and relevant sections for parameter types.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Note, METAR message types are not included in the Open version of this dataset. 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The data also contains precipitation amounts, however precipitation measured over 24 hours are not stored. Over time a range of rain gauges have been used - see the linked MIDAS User Guide for further details.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nThe data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: NCM, AWSHRLY, DLY3208, SREW and SSER. The data spans from 1915 to 2019.\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. 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The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2019. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. Of particular note, however, is that as well as including data for 2019, historical data recovery has added temperature and weather data for Bude (1937-1958), Teignmouth (1912-1930), and Eskdalemuir (1915-1948).\r\n\r\nThis dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. 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All sites report 'global' radiation amounts. This is also known as 'total sky radiation' as it includes both direct solar irradiance and 'diffuse' irradiance as a result of light scattering. Some sites also provide separate diffuse and direct irradiation amounts, depending on the instrumentation at the site. For these the sun's path is tracked with two pyrometers - one where the path to the sun is blocked by a suitable disc to allow the scattered sunlight to be measured to give the diffuse measurement, while the other has a tube pointing at the sun to measure direct solar irradiance whilst blanking out scattered sun light.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. 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The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2019.\r\n\r\nThis version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data.\r\n\r\nAt many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. 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"title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. 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"title": "HadUK-Grid Gridded Climate Observations on a 5km grid over the UK, v1.0.2.1 (1862-2019)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. 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"title": "NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)", "abstract": "The National Centre for Earth Observation (NCEO): Monthly global Particulate Organic Carbon (POC) dataset contains POC concentrations gridded on both sinusoidal (SIN) and geographic (GEO) grid projections at 4 km spatial resolution for 1997-2020. The POC dataset has been produced using the Ocean Colour Climate Change Initiative Remote Sensing Reflectance (Rrs) products, Version 4.2. The dataset includes the Rrs at 443 nm and 555 nm with pixel-by-pixel uncertainty estimates for each wavelength.\r\n\r\nFor more details on the algorithm and its validation, please see papers by Stramski et al. (2008) and Evers-King et al. (2017). Please note that the validation of the POC algorithm is a continuing process. To increase the accuracy of POC algorithms, further in situ POC data need to be collected with high spatial and temporal resolution.", "keywords": "NCEO, BICEP, Ocean, Particulate Organic Carbon, Ocean Colour Climate Change Initiative", "publicationState": "citable", "dataPublishedTime": "2020-12-09T18:15:22", "doiPublishedTime": "2021-01-07T16:06:54.315376", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31915/?format=api", "dataPath": "/neodc/oceanic_poc/data/v4.2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 579407160958, "numberOfFiles": 543, "fileFormat": "CF compliant NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8748/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2711/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/3302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18465/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/30417/?format=api" ], "dataLineage": "Data were produced by the PML NCEO project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). \r\n\r\nThe research underpinning the work is supported by the ESA Biological Pump and Carbon Export Processes (BICEP) Project, and the product generation is supported by the National Centre for Earth Observation (NCEO)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10802/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/5002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/31968/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30127/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/140967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141350/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141087/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31916/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31926, "uuid": "dc91f5e39ae34fd883af81dfdbaf659c", "title": "Monthly mean climate data from a transient simulation with the Whole Atmosphere Community Climate Model eXtension (WACCM-X) from 1950 to 2015", "abstract": "This dataset comprises monthly mean data from a global, transient simulation with the Whole Atmosphere Community Climate Model eXtension (WACCM-X) from 1950 to 2015. WACCM-X is a global atmosphere model covering altitudes from the surface up to ~500 km, i.e. including the troposphere, stratosphere, mesosphere and thermosphere. \r\n\r\nWACCM-X version 2.0 (Liu et al., 2018) was used, part of the Community Earth System Model (CESM) release 2.1.0 made available by the US National Center for Atmospheric Research. The model was run in free-running mode with a horizontal resolution of 1.9° latitude 2.5° longitude (giving 96 latitude points and 144 longitude points) and 126 vertical levels. Further description of the model and simulation setup is provided by Cnossen (2020) and references therein. A large number of variables are included on standard monthly mean output files on the model grid, while selected variables are also offered interpolated to a constant height grid or vertically integrated in height (details below). Zonal mean and global mean output files are included as well.\r\n\r\nThe following data file types are included:\r\n1)Monthly mean output on the full grid for the full set of variables; [DFT] = ''\r\n2)Zonal mean monthly mean output for the full set of variables; [DFT] = _zm\r\n3)Global mean monthly mean output for the full set of variables; [DFT] = _gm\r\n4)Height-interpolated/-integrated output on the full grid for selected variables; [DFT] = _ht\r\n\r\nA cos(latitude) weighting was used when calculating the global means.\r\n\r\nData were interpolated to a set of constant heights (61 levels in total) using the Z3GM variable (for variables output on midpoints, with \"lev\" as the vertical coordinate) or the Z3GMI variable (for variables output on interfaces, with \"ilev\" as the vertical coordinate) stored on the original output files (type 1 above). Interpolation was done separately for each longitude, latitude and time. \r\n\r\nMass density (DEN [g/cm3]) was calculated from the M_dens, N2_vmr, O2, and O variables on the original data files before interpolation to constant height levels. \r\n\r\nThe Joule heating power QJ [W/m3] was calculated using Q_J=_P B^2 [(u_i-u_n )^2+(v_i-v_n )^2+(w_i-w_n )^2] with P = Pedersen conductivity [S], B = geomagnetic field strength [T], ui, vi, and wi = zonal, meridional, and vertical ion velocities [m/s] and un, vn, and wn = neutral wind velocities [m/s]. QJ was integrated vertically in height (using a 2.5 km height grid spacing rather than the 61 levels on output file type 4) to give the JHH variable on the type 4 data files. The QJOULE variable also given is the Joule heating rate [K/s] at each of the 61 height levels.\r\n\r\nAll data are provided as monthly mean files with one time record per file, giving 792 files for each data file type for the period 1950-2015 (66 years).", "keywords": "WACCM-X, model, climate", "publicationState": "citable", "dataPublishedTime": "2020-10-13T14:13:10", "doiPublishedTime": "2020-10-21T13:12:52", "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31927/?format=api", "dataPath": "/badc/deposited2020/WACCM-X_1950-2015/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 513863448298, "numberOfFiles": 3171, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8752/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ 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Centre for Atmospheric Science (NCAS). 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The variables are provided on a 0.5 deg latitude x 0.5 deg longitude grid, the grid is near global but excludes Antarctica (this is 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 2019.\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 4.04 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. 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(Permafrost_cci): Permafrost ground temperature for the Northern Hemisphere, v2.0", "abstract": "This dataset contains permafrost ground temperature data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the first version of their Climate Research Data Package (CRDP v1). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v1 are released in annual files, covering the start to the end of the Julian year. This corresponds to average annual ground temperatures and is provided for specific depths (surface, 1m, 2m, 5m , 10m).\r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2017 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2018 using a pixel-specific statistics for each day of the year.", "keywords": "Permafrost, CCI, Ground Temperature", "publicationState": "citable", "dataPublishedTime": "2020-11-02T15:42:25", "doiPublishedTime": "2020-11-02T16:04:55", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31973/?format=api", "dataPath": 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(Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v2.0", "abstract": "This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the first version of their Climate Research Data Package (CRDP v1). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v1 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness.\r\n\r\nCase A: It covers the Northern Hemisphere (north of 30°) for the period 2003-2017 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data.\r\nCase B: It covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2018 using a pixel-specific statistics for each day of the year.", "keywords": "Permafrost, CCI, Active layer thickness", "publicationState": "citable", "dataPublishedTime": "2020-11-02T15:43:01", "doiPublishedTime": "2020-11-02T16:05:15", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31974/?format=api", "dataPath": 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/141461/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141463/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31971/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2596/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_permafrost_terms_and_conditions.pdf", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31969, "uuid": "69b2c9c6c4714517ba10dab3515e4ee6", "title": "BICEP / NCEO: Monthly global Marine Phytoplankton Primary Production, between 1998-2020 at 9 km resolution (derived from the Ocean Colour Climate Change Initiative v4.2 dataset)", "abstract": "This dataset contains global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2018 at 9 km spatial resolution. Data are provided in NetCDF format.\r\n\r\nPrimary production by marine phytoplankton was modelled using ocean-colour remote sensing products and a spectrally-resolved primary production model that incorporates the vertical structure of phytoplankton and simulates changes in photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function (see Kulk et al. 2020, Sathyendranath et al. 2020a, and references therein for details). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataet). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. In situ datasets of chlorophyll-a profile parameters and P-I parameters were incorporated as described in Kulk et al. (2020). \r\n\r\nThe primary production products were generated as part of the ESA Living Planet Fellowship programme ‘Primary production, Index of Climate Change in the Ocean: Long-term Observations’\r\n(PICCOLO). Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947), from the ESA Biological Pump and Carbon\r\nExchange Processes (BICEP) project and from the National Centre of Earth Observation (NCEO) is acknowledged.\r\n\r\nData are provided as netCDF files containing global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2020 at 9 km spatial resolution.\r\n\r\nReferences:\r\n\r\nKulk, G.; Platt, T.; Dingle, J.; Jackson, T.; Jönsson, B.F.; Bouman, H.A., Babin, M.; Doblin, M.; Estrada, M.; Figueiras, F.G.; Furuya, K.; González, N.; Gudfinnsson, H.G.; Gudmundsson, K.; Huang, B.; Isada, T.; Kovac, Z.; Lutz, V.A.; Marañón, E.; Raman, M.; Richardson, K.; Rozema, P.D.; Van de Poll, W.H.; Segura, V.; Tilstone, G.H.; Uitz, J.; van Dongen-Vogels, V.; Yoshikawa, T.; Sathyendranath S. Primary production, an index of climate change in the ocean: Satellite-based estimates over two decades. Remote Sens. 2020, 12, 826. doi:10.3390/rs12050826\r\n\r\nSathyendranath, S.; Platt, T.; Žarko K.; Dingle, J.; Jackson, T.; Brewin, R.J.W.; Franks, P.; Nón, E.M.; Kulk, G.; Bouman, H. Reconciling models of primary production and photoacclimation. Appl. Opt.\r\n2020a, 59, C100-C114. doi.org/10.1364/AO.386252.", "keywords": "Marine phytoplankton, primary production", "publicationState": "citable", "dataPublishedTime": "2021-12-21T14:04:32", "doiPublishedTime": "2021-12-22T15:41:31", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/33314/?format=api", "dataPath": "/neodc/bicep/data/marine_primary_production/v4.2/monthly/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 20623346126, "numberOfFiles": 277, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/9192/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/69037/?format=api" ], "dataLineage": "The primary production products were generated as part of the ESA Living Planet Fellowship programme ‘Primary production, Index of Climate Change in the Ocean: Long-term Observations’ (PICCOLO). 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The data are from 82 model simulations of volcanic eruptions that have different sulfur dioxide emissions, eruption latitudes and emission altitudes. Two ensembles were conducted for eruptions starting in January and July. Each simulation was run for ~3 years in a year 2000 timeslice condition. The simulations are from the Unified Model coupled with the United Kingdom Chemistry and Aerosol Scheme (UM-UKCA) and were conducted at a global resolution of 1.875 ° x 1.25°.\r\n\r\nThis data were collected as part of the NERC Reconciling Volcanic Forcing and Climate Records throughout the Last Millennium (Vol-Clim) project.\r\n\r\nV3 is the latest data file to use.", "keywords": "NE/L002574/1, UM-UKCA, stratospheric, aerosol, volcanic", "publicationState": "published", "dataPublishedTime": "2020-11-11T09:44:38", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/31983/?format=api", "dataPath": "/badc/deposited2020/UM-UKCA_volcanic-ensemble-deposition/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11515, "numberOfFiles": 4, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8777/?format=api", "geographicExtent": null, "nonGeographicFlag": true, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88518/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88519/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88520/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88522/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/88528/?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": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168952/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31985/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 31986, "uuid": "62866635ab074e07b93f17fbf87a2c1a", "title": "ESA Fire Climate Change Initiative (Fire_cci): AVHRR-LTDR Burned Area Grid product, version 1.1", "abstract": "The ESA Fire Disturbance Climate Change Initiative (CCI) project has produced maps of global burned area derived from satellite observations. The AVHRR - LTDR Grid v1.1 product described here contains gridded data of global burned area derived from spectral information from the AVHRR (Advanced Very High Resolution Radiometer) Land Long Term Data Record (LTDR) v5 dataset produced by NASA.\r\n\r\nThe dataset provides monthly information on global burned area on a 0.25 x 0.25 degree resolution grid from 1982 to 2018. The year 1994 is omitted as there was not enough input data for this year. The dataset is distributed in NetCDF files, and it includes 4 layers: sum of burned area, standard error, fraction of burnable area and fraction of observed area. 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These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). \r\n\r\nSpatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010.\r\n\r\nAll indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. 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The extremes indices were developed by the former WMO Expert Team on Climate Change Detection and Indices (ETCCDI) and derived from daily, station-based observations. These have undergone quality control checks and then been blended into a gridded product using an angular distance weighting routine.", "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/31940/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141798/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/141858/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/31943/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32018, "uuid": "5e5da31f2ae047b997ddbbdd372d31cd", "title": "ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Obs4MIPS monthly-averaged sea surface temperature data, v2.1", "abstract": "This dataset contains monthly 1 degree averages of sea surface temperature data in Obs4MIPS format, from the European Space Agency (ESA)'s Climate Change Initiatve (CCI) Sea Surface Temperature (SST) v2.1 analysis.\r\n\r\nThe data covers the period from 1981-2017, with the data from 1981 to 2016 coming from the Sea Surface Temperature (SST) project of the ESA CCI project. The data for 2017 were generated using the same approach but under funding from the Copernicus Climate Change Service (C3S).\r\n\r\nThis particular product has been generated for inclusion in Obs4MIPs (Observations for Model Intercomparisons Project), which is an activity to make observational products more accessible for climate model intercomparisons.\r\n\r\nData are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/\r\n\r\nWhen citing this dataset please also cite the associated data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x", "keywords": "SST, ESA Climate Change Initiative", "publicationState": "citable", "dataPublishedTime": "2021-02-25T08:12:37", "doiPublishedTime": "2021-02-25T09:00:00", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32073/?format=api", "dataPath": "/neodc/esacci/sst/data/obs4MIPs/UReading/ESA-CCI-SST-v2-1/mon/tos/gn/v20201130/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44531549, "numberOfFiles": 3, "fileFormat": "Data are in NetCDF format" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8801/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api" ], "dataLineage": "Data were processed by the ESA CCI SST project team and supplied to the Centre for Environmental Data Analysis (CEDA) for archiving in the context of the ESA CCI Open Data Portal project and the National Centre for Earth Observation (NCEO). The data for 2017 were generated using the same approach but under funding from the Copernicus Climate Change Service (C3S).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10807/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11008/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11005/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/143040/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/32019/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2523/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_sst_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 32020, "uuid": "b9698c5ecf754b1d981728c37d3a9f02", "title": "HadCRUT.5.0.0.0: Ensemble near-surface temperature anomaly grids and time series", "abstract": "HadCRUT5 (Met Office Hadley Centre/Climatic Research Unit global surface temperature anomalies, version 5) is a gridded dataset of global historical near-surface air temperature anomalies since the year 1850. It has been developed and maintained by the Met Office Hadley Centre and University of East Anglia Climatic Research Unit. Air temperature information over land is derived from CRUTEM5 monthly average meteorological station temperature series, an expanded compilation of station series with revised quality control methods. Temperatures over ocean are derived from the HadSST4 sea-surface temperature dataset, including revised assessments of instrumental biases. Temperature data are presented as monthly average near-surface temperature anomalies, relative to the 1961-1990 period, on a regular 5° latitude by 5° longitude grid from 1850 to 2018, with derived global and hemispheric time series.\r\n\r\nTwo variants of the dataset are provided. The first represents temperature anomaly data on a grid for locations where measurement data are available. The second, more spatially complete, variant uses a Gaussian process based statistical method to make better use of the available observations, extending temperature anomaly estimates into regions for which the underlying measurements are informative. Each is provided as a 200‐member ensemble accompanied by additional uncertainty information.\r\n\r\nMonthly updates to HadCRUT5 are available from the Met Office Hadobs website (see documentation links).", "keywords": "HadOBS, HadCRUT, HadCRUT5, near-surface air temperature", "publicationState": "published", "dataPublishedTime": "2020-12-21T16:56:36", "doiPublishedTime": null, "updateFrequency": "", "status": "planned", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/32048/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadCRUT/HadCRUT5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16504827772, "numberOfFiles": 2510, "fileFormat": "The data are NetCDF4 formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/8789/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1635/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1636/?format=api", "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/12568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31689/?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/31694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31698/?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/31701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/31706/?format=api" ], "dataLineage": "HadCRUT.5.0.0.0. has been processed using the HadSST4 and CRUTEM5.0 inputs. 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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/141890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141897/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141894/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/141898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168502/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142259/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142035/?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": 1138, "name": "NDGO0003" } ] }, { "ob_id": 32023, "uuid": "7f7f7056fdc049bb9bb575c18290bd68", "title": "Cape Verde Atmospheric Observatory: High-precision long-term atmospheric measurements of greenhouse gases (CO, CO2, N2O and CH4 ) using Off-Axis Integrated-Cavity Output Spectroscopy (OA-ICOS) (2011 onwards).", "abstract": "Data from observations made at the Cape Verde Atmospheric Observatory (CVAO) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. \r\n\r\nThe observatory is based on Calhau Island of São Vicente, Cape Verde at 16.848N, 24.871W, in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. \r\n\r\nSince November 2011, real-time N2O (Nitrous Oxide) and CO (Carbon Monoxide) concentrations have been simultaneously and continuously measured using an Off-Axis Integrated-Cavity Output Spectroscopy (OA-ICOS) analyser (Los Gatos Inc). In November 2012, a Greenhouse Gas Analyser (GGA) using the same fundamental measuring technique was added and placed in series to measure CO2 (Carbon Dioxide) and CH4 (Methane) concentrations. Both devices are configured to sample at a frequency of 1Hz and both have the precision and accuracy to conform to measurement recommendations as defined by Global Atmosphere Watch (GAW). \r\n\r\nThe dataset contains hourly measurements of CO, CO2, N2O and CH4. 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