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=5500
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5600", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=5400", "results": [ { "ob_id": 26645, "uuid": "24dc5d5429434ccdb349db04a1a3233d", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Ice Velocity Map, Winter 2016-2017, v1.0", "abstract": "This dataset provides an ice velocity map for the whole Greenland ice-sheet for the winter of 2016-2017, derived from Sentinel-1 SAR data acquired from 23/12/2016 to 27/02/2017, as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. \r\n\r\nIn total approximately 1800 S-1A & S-1B scenes are used to derive the surface velocity applying feature tracking techniques. The ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz), derived from a digital elevation model is also provided. The product was generated by ENVEO (Earth Observation Information Technology GmbH).", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2018-11-28T15:02:58", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26789/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_ice_velocity_map_winter_2016_2017/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 142130563, "numberOfFiles": 5, "fileFormat": "The data is provided as a NetCDF file (including all measurements and annotation), with the velocity compnents: vx, vy, vz and vv (magnitude of the horizontal components), along with maps showing valid pixel count and uncertainty (std.). The ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz), derived from a digital elevation model (GIMP, Howatt et al. 2014), is also provided." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7178/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13207/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112024/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112025/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112022/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112027/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/26788/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 26647, "uuid": "302f379334e84664bd3409d08eca6565", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Ice Velocity Map, Winter 2015-2016, v1.2", "abstract": "This dataset provides an ice velocity map for the whole Greenland ice-sheet for the winter of 2015-2016, derived from Sentinel-1 SAR data acquired from 01/10/2015 to 31/10/2016, as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. \r\n\r\nThe ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz), derived from a digital elevation model is also provided. The product was generated by ENVEO (Earth Observation Information Technology GmbH).", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2018-11-28T14:58:41", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26786/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_ice_velocity_map_winter_2015_2016/v1.2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 149871783, "numberOfFiles": 5, "fileFormat": "The data is provided as a NetCDF file (including all measurements and annotation), with the velocity compnents: vx, vy, vz and vv (magnitude of the horizontal components), along with maps showing valid pixel count and uncertainty (std.).\r\nThe ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz), derived from a digital elevation model (GIMP, Howatt et al. 2014), is also provided." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7220/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13207/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112036/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112035/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/26788/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 26648, "uuid": "eaed9fba86c44e9c854dfbdec9d16b99", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Ice Velocity Map, Winter 2017-2018, v1.0", "abstract": "This dataset provides an ice velocity map for the whole Greenland ice-sheet for the winter of 2017-2018, derived from Sentinel-1 SAR data acquired from 28/12/2017 to 28/02/2018, as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. \r\n\r\nIn total approximately 1900 S-1A & S-1B scenes are used to derive the surface velocity applying feature tracking techniques. The ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz),\r\nderived from a digital elevation model, is also provided. The product was generated by ENVEO (Earth Observation Information Technology GmbH).", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2018-11-28T11:06:35", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26790/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_ice_velocity_map_winter_2017_2018/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 140934157, "numberOfFiles": 5, "fileFormat": "The data is provided as a NetCDF file (including all measurements and annotation), with the velocity compnents: vx, vy, vz and vv (magnitude of the horizontal components), along with maps showing valid pixel count and uncertainty (std.). The ice velocity map is provided at 500m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity is provided in true meters per day, towards EASTING(vx) and NORTHING(vy) direction of the grid, and the vertical displacement (vz), derived from a digital elevation model (GIMP, Howatt et al. 2014), is also provided." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7179/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13207/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112044/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/26788/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 26650, "uuid": "0470e96f2d8245549ef2ba81842cdfd8", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Surface Elevation Change grid from SARAL-AltiKa for 2013-2017, v0.1", "abstract": "This data set is part of the ESA Greenland Ice sheet CCI project. The data set provides surface elevation changes (SEC) for the Greenland Ice sheet derived from SARAL-AltiKa for 2013-2017.\r\n \r\nThis new experimental product of surface elevation change is based on data from the AltiKa-instrument onboard the France (CNES)/Indian (ISRO) SARAL satellite. The AktiKa altimeter utilizes Ka-band radar signals, which have less penetration in the upper snow. However, the surface slope and roughness has an imprint in the derived signal and the new product is only available for the flatter central parts of the Greenland ice sheet.\r\n\r\nThe corresponding SEC grid from Cryosat-2 is included for comparison. The algorithm used to devive the product is described in the paper “Implications of changing scattering properties on the Greenland ice sheet volume change from Cryosat-2 altimetry” by S.B. Simonsen and L.S. Sørensen, Remote Sensing of the Environment, 190,pp.207-216, doi:10.1016/j.rse.2016.12.012. The approach used here corresponds to Least Squares Method (LSM) 5 described in the paper, in which the slope within each grid cell is accounted for by subtraction of the GIMP DEM; the data are corrected for both backscatter and leading edge width; and the LSM is solved at 1 km grid resolution (2 km search radius) and averaged in the post-processing to 5 km grid resolution and with a correlation length of 20 km.", "keywords": "Greenland Ice Sheet, ESA, CCI", "publicationState": "published", "dataPublishedTime": "2018-11-22T17:59:03", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26735/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_surface_elevation_change/saral-altika/v0.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12178483, "numberOfFiles": 6, "fileFormat": "Version 0.1 of the product contains three files:\r\n1) NetCDF file containing the surface elevation change grids from AltiKa and\r\n from Cryosat-2 (for comparison) for 2013-2017 and their associated errors\r\n2) PNG plot of the surface elevation change from AltiKa\r\n3) PNG plot of the surface elevation change from Cryosat-2" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7210/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/895/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18454/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18457/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18459/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18552/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112051/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/26740/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 26651, "uuid": "35f30876a4894169bb1ebeafe1e0c447", "title": "Iceland Greenland seas Project (IGP):Humidity and temperature profiles from the NCAS Humidity And Temperature PROfilers (HATPRO) scanning radiometer on board the Alliance research vessel.", "abstract": "This dataset contains humidity and temperature profiles from the NCAS Humidity And Temperature PROfilers (HATPRO) scanning radiometer on board the Alliance research vessel for the Iceland Greenland seas Project (IGP). \r\n\r\nThe Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. 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Subsequent data files take the form Instrument_Location_DateFrom_DateTo.csv e.g. raingauge_Kanyanya_20180107_20193006.csv (which covers date range 01/07/2018 - 30/06/2019)" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7202/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2296/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92038/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92042/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92047/?format=api" ], "dataLineage": "The network is one of a series of hydromet networks in urban centres in sub-Saharan Africa that were installed under the UK Natural Environment Research Council (NERC) programme, Future Climate for Africa (FCFA). 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The data were provided by David Macdonald of the British Geological Survey to CEDA for publication.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10008/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/26702/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112357/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112354/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112356/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112352/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112775/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/26699/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 26710, "uuid": "0a730d401f3d4fd1ae819636fa348685", "title": "Ensemble of simulations for the SAPRISE (South Asian PRecIpitation: A SEamless assessment) project.", "abstract": "An ensemble of simulations made using the Unified Model version 6.6 (HadGEM2) in AMIP (atmosphere only) configuration for the SAPRISE (South Asian PRecIpitation: A SEamless assessment) project. 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The air samples measured were taken at the Ascension Islands on a regular basis using glass flasks. The samples were analysed for the carbon ratio in methane at Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS). MS). \r\n\r\nThis data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "keywords": "MOYA, Methane, d13C, Isotope, NERC", "publicationState": "citable", "dataPublishedTime": "2018-11-20T16:42:45", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26731/?format=api", "dataPath": "/badc/moya/data/stations/ascension", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5654, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7207/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2292/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58287/?format=api" ], "dataLineage": "The data were collected locally at the Ascension Observatory and sent to the Royal Holloway University of London analysis and deposited at 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/10006/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24762/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112432/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/26718/?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": 26721, "uuid": "418208c3a0874a4aa2e49bdbc0a32d36", "title": "Methane Observations and Yearly Assessments (MOYA): Isotopic d13C methane measurements taken from Alert, Canada", "abstract": "This dataset contains air sample measurements of the ratio between carbon 12: carbon 13 in atmospheric methane (d13C). The air samples measured were taken at Alert, Canada on a regular basis using glass flasks. The samples were analysed for the carbon ratio in methane at Royal Holloway University of London using continuous flow gas chromatography/isotope ratio mass spectrometry (CF-GC/IRMS). \r\n\r\nThis data was collected as part of the Methane Observations and Yearly Assessments (MOYA) project funded by the Natural Environment Research Council (NERC) (NE/N016211/1).", "keywords": "MOYA, Methane, d13C, Isotope, NERC", "publicationState": "citable", "dataPublishedTime": "2018-11-27T13:23:16", "doiPublishedTime": null, "updateFrequency": "asNeeded", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26730/?format=api", "dataPath": "/badc/moya/data/stations/alert", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 15751, "numberOfFiles": 2, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7208/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/792/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58285/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58288/?format=api" ], "dataLineage": "The data were collected locally at Alert, Canada and sent to the Royal Holloway University of London analysis and deposited at 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/10005/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/24718/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/24762/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112445/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/26722/?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": 26760, "uuid": "a389a79fcb0b45fbae2c76aedeec6234", "title": "GAUGE: Methane, Carbon Dioxide and Nitrous Oxide measurements taken from Bilsdale Tower.", "abstract": "This dataset contains methane, carbon dioxide and nitrous oxide measurements taken from Bilsdale Tower at 42, 108 and 248m. The measurements were taken using a Cavity Ring Down Spectrometer (CRDS). This data was collected as part of the NERC GAUGE (Greenhouse gAs UK and Global Emissions) project (NE/K002449/1NERC and TRN1028/06/2015). \r\n\r\nThe GAUGE project aimed to produce robust estimates of the UK Greenhouse Gas budget, using new and existing measurement networks and modelling activities at a range of scales. 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The measurements were taken using a Gas Chromatography-micro Electron Capture Detector (GC-ECD). This data was collected as part of the NERC GAUGE (Greenhouse gAs UK and Global Emissions) project (NE/K002449/1NERC and TRN1028/06/2015). \r\n\r\nThe GAUGE project aimed to produce robust estimates of the UK Greenhouse Gas budget, using new and existing measurement networks and modelling activities at a range of scales. It aimed to integrate inter- calibrated information from ground-based, airborne, ferry-borne, balloon-borne, and space-borne sensors, including new sensor technology.", "keywords": "GAUGE, N2O, CH4, CO2, Tower", "publicationState": "published", "dataPublishedTime": "2018-11-27T08:52:38", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26766/?format=api", "dataPath": "/badc/gauge/data/tower/heathfield", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 118553123, "numberOfFiles": 6, "fileFormat": "Data are NetCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7211/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2299/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/23443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58411/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58413/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/58417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83106/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83107/?format=api" ], "dataLineage": "Data were collected by the University of Bristol and deposited at 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/10524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10527/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12409/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/12404/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112614/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112615/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112616/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112617/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112613/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168404/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112618/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112619/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/26762/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2528/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 26778, "uuid": "b017235a8e544d6fbad21387ebfbf0d8", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data, derived by TU Dresden, v1.2", "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from gravimetry data from the GRACE satellite instrument, by TU Dresden. The data consists of two products: a mass change time series for the entire Greenland Ice Sheet and different drainage basins for the period April 2002 to August 2016; and mass trend grids for different 5-year periods between 2003 and 2016. This version (1.2) is derived from GRACE monthly solutions provided by TU Graz (ITSG-Grace 2016)\r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set. \r\n\r\nBasin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document (ST-DTU-ESA-GISCCI-ATBD-001_v3.1.pdf) and Product Specification Document (ST-DTU-ESA-GISCCI-PSD_v2.2.pdf) which are provided on the Greenland Ice Sheet CCI project website. This GMB product has been produced by TU Dresden for comparison with the existing GMB product derived by DTU Space.\r\n\r\nPlease cite the dataset as follows: Groh, A., & Horwath, M. (2016). The method of tailored sensitivity kernels for GRACE mass change estimates. Geophysical Research Abstracts, 18, EGU2016-12065", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2018-11-28T16:59:20", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26779/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/TU_Dresden/v1.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8996299, "numberOfFiles": 35, "fileFormat": "Mass trend grids are in NetCDF format. Time series are in ASCII and png format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7217/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55952/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55953/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55954/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55955/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112627/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112628/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 26780, "uuid": "5970b33c92ef444793fb6d7e54d1230e", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data (CSR RL06), derived by TU Dresden, v1.3", "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from gravimetry data from the GRACE satellite instrument, by TU Dresden. The data consists of two products: a mass change time series for the entire Greenland Ice Sheet and different drainage basins for the period April 2002 to August 2016; and mass trend grids for different 5-year periods between 2003 and 2016. This version (1.3) is derived from GRACE monthly solutions from the CSR RL06 product.\r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set. \r\n\r\nBasin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document (ST-DTU-ESA-GISCCI-ATBD-001_v3.1.pdf) and Product Specification Document (ST-DTU-ESA-GISCCI-PSD_v2.2.pdf) which are provided on the Greenland Ice Sheet CCI project website. This GMB product has been produced by TU Dresden for comparison with the existing GMB product derived by DTU Space.\r\n\r\nPlease cite the dataset as follows: Groh, A., & Horwath, M. (2016). The method of tailored sensitivity kernels for GRACE mass change estimates. Geophysical Research Abstracts, 18, EGU2016-12065", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2018-11-28T17:03:31", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26781/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/TU_Dresden/v1.3/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8967513, "numberOfFiles": 35, "fileFormat": "Mass trend grids are in NetCDF format. \r\nTime series are in ASCII and png format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7217/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [ "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/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19009/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112630/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112631/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112632/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112633/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112634/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112637/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112636/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112635/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 26782, "uuid": "ff4bfe39b7fe42fc993341d3cebdabb5", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data (CSR RL06), derived by DTU Space, v1.5", "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from gravimetry data from the GRACE satellite instrument, by DTU Space. The data consists of two products: a mass change time series for the entire Greenland Ice Sheet and different drainage basins for the period April 2002 to June 2016; and mass trend grids for different 5-year periods between 2003 and 2016. This version (1.5) is derived from GRACE monthly solutions from the CSR RL06 product.\r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set. \r\n\r\nBasin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document (ST-DTU-ESA-GISCCI-ATBD-001_v3.1.pdf) and Product Specification Document (ST-DTU-ESA-GISCCI-PSD_v2.2.pdf) which are provided on the Greenland Ice Sheet CCI project website. \r\n\r\nCitation: \r\nBarletta, V. R., Sørensen, L. S., and Forsberg, R.: Scatter of mass changes estimates at basin scale for Greenland and Antarctica, The Cryosphere, 7, 1411-1432, doi:10.5194/tc-7-1411-2013, 2013.", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2018-11-28T17:10:36", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26783/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/DTU_Space/v1.5/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10636729, "numberOfFiles": 45, "fileFormat": "Mass trend grids are in NetCDF format. \r\nTime series are in ASCII and png format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7218/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [ "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/55880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55882/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/55883/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112638/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112639/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112642/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112644/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 26784, "uuid": "35ea8189e75e4b6f95e7c86812080ecb", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Gravimetric Mass Balance from GRACE data, derived by DTU Space, v1.4", "abstract": "This dataset provides the Gravitational Mass Balance (GMB) product derived from gravimetry data from the GRACE satellite instrument, by DTU Space. The data consists of two products: a mass change time series for the entire Greenland Ice Sheet and different drainage basins for the period April 2002 to June 2017; and mass trend grids for different 5-year periods between 2003 and 2017. This version (1.4) is derived from GRACE monthly solutions provided by TU Graz (ITSG-Grace 2016), apart from August 2016 time series which is computed using the CRS-R05 solution.\r\n\r\nThe mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year.\r\n\r\nMass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set. \r\n\r\nBasin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document (ST-DTU-ESA-GISCCI-ATBD-001_v3.1.pdf) and Product Specification Document (ST-DTU-ESA-GISCCI-PSD_v2.2.pdf) which are provided on the Greenland Ice Sheet CCI project website. \r\n\r\nCitation: \r\nBarletta, V. R., Sørensen, L. S., and Forsberg, R.: Scatter of mass changes estimates at basin scale for Greenland and Antarctica, The Cryosphere, 7, 1411-1432, doi:10.5194/tc-7-1411-2013, 2013.", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2018-11-28T17:14:52", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26785/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_gravimetric_mass_balance/DTU_Space/v1.4/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11690445, "numberOfFiles": 47, "fileFormat": "Mass trend data are provided in NetCDF format. 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The horizontal velocity is provided in true meters per day, towards the EASTING(x) and NOTHING(y) directions of the grid, and the vertical displacement (z), derived from a digital elevation model, is also provided. \r\n\r\nThe product was generated by GEUS (Geological Survey of Denmark and Greenland).", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2018-11-29T14:43:19", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26829/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_ice_velocity/greenland_iv_kangerlussuaq_timeseries/v1.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 17672734, "numberOfFiles": 6, "fileFormat": "Data is provided as a single NetCDF file." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7228/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/12066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/13207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/18433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/53927/?format=api" ], "dataLineage": "Data were produced by GEUS (Geological Survey of Denmark and Greenland) as part of the ESA CCI Greenland Ice Sheet project and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112726/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112727/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112729/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112725/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112731/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112730/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/26817/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 26850, "uuid": "c4f160a450f540f4bacb57b4bf2f4697", "title": "Coastal Zone Colour Scanner (CZCS) - Level 0 data from NEODAAS Dundee Satellite Receiving Station", "abstract": "The Coastal Zone Colour Scanner (CZCS) was a multi-channel scanning radiometer aboard the US Nimbus 7 satellite. Nimbus 7 was launched 24 October 1978, and CZCS became operational on 2 November 1978. It was only designed to operate for one year (as a proof-of-concept), but in fact remained in service until 22 June 1986. Its operation on board the Nimbus 7 was limited to alternate days as it shared its power with the passive microwave scanning multi channel microwave radiometer.\r\n\r\nCZCS measured reflected solar energy in six channels, at a resolution of 800 meters. These measurements were used to map chlorophyll concentration in water, sediment distribution, salinity, and the temperature of coastal waters and ocean currents.\r\n\r\nThe data were transferred to CEDA when the Dundee Satellite Receiving Station (NEODAAS Dundee node) facility was closed to continue the long term archive.", "keywords": "CZCS, Radiometer, Nimbus 7", "publicationState": "published", "dataPublishedTime": "2020-05-06T12:53:12", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26856/?format=api", "dataPath": "/neodc/czcs/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 94645915256, "numberOfFiles": 4431, "fileFormat": "Data are in bzip2 format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7230/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data was collected via the NEODAAS Dundee Satellite Receiving Station. This was then transferred to CEDA to allow the long term archive to continue.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/projects/30203/?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/112778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112781/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/29896/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2647/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://science.nasa.gov/earth-science/earth-science-data/data-information-policy/", "licenceClassifications": "" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 26852, "uuid": "72d29f16054d4a8ca056796a8c5d6e3d", "title": "Arctic Cloud Summer Expedition (ACSE): wave statistics, wave spectra and raw buoy displacement data from the University of Leeds Datawell DWR-G4-Waverider buoy deployed from the Icebreaker Oden", "abstract": "This dataset contains derived wave statistics, directional wave spectra and raw buoy displacement data from the University of Leeds Datawell DWR-G4-Waverider buoy deployed from the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record.\r\n\r\nThe buoy was deployed on numerous occasions during the voyage, including multiple deployments per day (the deployment number during the day is given in the filename following the date of deployment). However, some deployments are omitted from the archive where significant problems with the raw data were found (failure to obtain GPS lock; too-short a deployment, etc.). The deployment number for the day has been maintained to coincide with the buoy's deployment logs. Data are truncated to remove the deployment and recovery. No further quality control has been applied to the data.\r\n\r\nThe raw displacement timeseries data contains raw buoy displacements (up, north, west) from which the spectra were calculated. The spectra were calculated as 10-minute averages. The methodology used is detailed within the files, but include both raw (quite noisy) and smoothed spectra.\r\n\r\nThe overall wave statistics file contains all wave statistics data obtained during the voyage (significant wave height, spectral peak details, etc, along with the spectral moments from which the stats are calculated). These are all given for each spectrum as a whole, and partitioned into windsea and swell components. References to the techniques used to produce these statistics are given in the file.\r\n\r\nThe Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat.\r\n\r\nACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud.\r\n\r\nThe UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements.", "keywords": "waverider, waves, sea state, wind sea, swell, wave spectra, directional spectra,", "publicationState": "citable", "dataPublishedTime": "2018-12-13T09:57:37", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26853/?format=api", "dataPath": "/badc/acse/data/leeds-datawell-dwr-g4-waverider", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 129894089, "numberOfFiles": 42, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7231/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2195/?format=api", "nonGeographicFlag": false, "phenomena": [ 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"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": 26855, "uuid": "1d8f70a7badd423babf3febc4dabec4c", "title": "Sea-viewing Wide Field-of-view Sensor (SeaWiFS) - Level 0 data from NEODAAS Dundee Satellite Receiving Station", "abstract": "This dataset provides optical level 0 ocean colour data. The SeaWiFS instrument was launched by Orbital Sciences Corporation on the OrbView-2 (a.k.a. SeaStar) satellite in August 1997, and collected data from September 1997 until the end of mission in December 2010. SeaWiFS had 8 spectral bands from 412 to 865 nm. It collected global data at 4 km resolution, and local data (limited on board storage and direct broadcast) at 1 km. The mission and sensor were optimised for ocean colour measurements, with a local noon (descending) equator crossing time orbit, fore-and-aft tilt capability, full dynamic range, and low polarisation sensitivity. The data were transferred to CEDA when the Dundee Satellite Receiving Station NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS Dundee node) facility was closed to continue the long term archive.", "keywords": "Ocean Colour, SeaStar, SeaWiFS, NEODAAS", "publicationState": "published", "dataPublishedTime": "2020-05-06T12:54:21", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26857/?format=api", "dataPath": "/neodc/seawifs/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1009162845002, "numberOfFiles": 28012, "fileFormat": "These data are in DAT file format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7232/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data taken from the NEODAAS Dundee Satellite Receiving Station to continue the long term archive.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/30202/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/114896/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142500/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/142501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/129435/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/29928/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2657/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://www.earthdata.nasa.gov/engage/open-data-services-software-policies/data-use-guidance", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 26858, "uuid": "b2f81914257c4188b181a4d8b0a46bff", "title": "CRU TS4.02: Climatic Research Unit (CRU) Time-Series (TS) version 4.02 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2017)", "abstract": "The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.02 data are month-by-month variations in climate over the period 1901-2017, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia.\r\n\r\nThe CRU TS4.02 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2017.\r\n\r\nThe CRU TS4.02 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.02 is a full release, differing only in methodology from the parallel release, v3.26. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. \r\n\r\nThe CRU TS4.02 data are monthly gridded fields based on monthly observational data calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.", "keywords": "CRU, CRU TS, atmosphere, earth science, climate", "publicationState": "citable", "dataPublishedTime": "2019-02-18T08:32:14", "doiPublishedTime": "2019-04-01T10:48:57", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26859/?format=api", "dataPath": "/badc/cru/data/cru_ts/cru_ts_4.02/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 34388505599, "numberOfFiles": 399, "fileFormat": "Data are provided in ASCII and NetCDF formats." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7233/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/19309/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56250/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56251/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56253/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56254/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56255/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56256/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/56258/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/61269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/63011/?format=api" ], "dataLineage": "The CRU TS data are produced by the Climatic Research Unit (CRU) at the University of East Anglia and are passed to the Centre for Environmental Data Analysis (CEDA) for long-term archival and distribution. Previous releases of the CRU TS data include:\r\n\r\nCRU TS 4.02 was provided to CEDA for archival in December 2018. \r\n\r\nCRU TS 4.01 was provided to CEDA for archival in September 2017. \r\n\r\nCRU TS 4.00 was provided to CEDA for archival in March 2017. \r\n\r\nCRU TS 3.24.01 was provided to CEDA for archival in January 2017. This is the latest version available and is a replacement of the withdrawn dataset 3.24, it supersedes all previous data versions (which are available to allow user comparisons)\r\n\r\nCRU TS 3.24 was provided to CEDA for archival in July 2016. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons), v3.24 has been withdrawn.\r\n\r\nCRU TS 3.23 was provided to CEDA in October 2015 by CRU. This is the latest version available, superseding all previous data versions (which are available to allow user comparisons).\r\n\r\nCRU TS 3.22 was provided to CEDA for archival in July 2014 by CRU.\r\n\r\nCRU TS 3.21 was provided to CEDA for archival in July 2013 by CRU.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In july 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.10.01 In July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10506/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27513/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168495/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20388/?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": 26860, "uuid": "b177c691ce9143729e16faadbdebced8", "title": "CRU CY 4.02: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.02 (Jan. 1901 - Dec. 2017)", "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.02 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2018 by CRU at the University of East Anglia and extends the CRU CY4.01 data to include 2017. CRU CY4.02 is a full release, differing only in methodology from the existing current version 3 release, v3.26. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.02 is derived directly from the CRU TS4.02 dataset. CRU CY version 4.02 spans the period 1901-2017 for 289 countries.\r\n\r\nTo understand the CRU CY4.02 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.02. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.02 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users.", "keywords": "CRU, CRU CY, CY, climate", "publicationState": "citable", "dataPublishedTime": "2019-02-19T12:22:53", "doiPublishedTime": "2019-03-01T08:54:26", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26861/?format=api", "dataPath": "/badc/cru/data/cru_cy/cru_cy_4.02/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 49748484, "numberOfFiles": 2924, "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7234/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The Climatic Research Unit (CRU) CY data are derived directly from the CRU TS data, and version numbering is matched between the two datasets. The CRU CY data are produced by the CRU unit at the University of East Anglia and passed to the Centre for Environmental Data Analysis (CEDA) for long term archival and distribution. Previous releases of CRU CY include:\r\n\r\nCRU CY 4.01 data were passed to CEDA for archival and distribution by CRU in November 2018\r\n\r\nCRU CY 4.01 data were passed to CEDA for archival and distribution by CRU in September 2017\r\n\r\nCRU CY 4.00 data were passed to CEDA for archival and distribution by CRU in March 2017\r\n\r\nCRU CY 3.24.01 data files supplied to CEDA for long term archival by CRU in January 2017.\r\n\r\nThe CRU CY 3.24 data were withdrawn by CRU and CEDA in January 2017 due to known issues with the data.\r\n\r\nCRU CY 3.24 data files supplied to CEDA for long term archival by CRU in October 2016.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10496/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/27835/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112806/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/20388/?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": 26863, "uuid": "2a62652a4fe6412693123dd6328f6dc8", "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.0.0.0 (1862-2017)", "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data sets cover the UK at 1km x 1km resolution. These 1km x 1km data have been used to provide a range of other resolutions and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence.", "keywords": "Met Office, UKCP18, BEIS, Defra, land surface, climate observations, hadobs", "publicationState": "citable", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": "2019-11-14T16:33:28", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26864/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.0.0/1km", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1228715710194, "numberOfFiles": 5926, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7235/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2305/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6023/?format=api", 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Version 3.26 of High-Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2017)", "abstract": "The gridded CRU TS (time-series) 3.26 data are month-by-month variations in climate over the period 1901-2017, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nThis version of CRU TS supersedes version 3.25, additionally however these data are superseded by the CRU TS 4.02 data which has a new processing methodology. This concurrent release of CRU TS 3.26 and CRU TS 4.02 is made to support users during the transition to the CRU TS version 4 data. No further releases of version 3 are planned.\r\n\r\nCRU TS 3.26 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period Jan. 1901 - Dec. 2017.\r\n\r\nCRU TS 3.26 data were produced using the same methodology as for the 3.21, 3.22, 3.23, 3.24.01, 3.26 datasets. This version contains updates the dataset with 2016 data, some new stations have been added for TMP and PRE only. This release is the latest release of the CRU TS data. Known issues predating this release remain.\r\n\r\nThe CRU TS 3.26 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.", "keywords": "CRU, CRU TS, atmosphere, earth science, climate", "publicationState": "citable", "dataPublishedTime": "2019-02-18T08:32:01", "doiPublishedTime": "2019-03-01T08:54:01", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26867/?format=api", "dataPath": "/badc/cru/data/cru_ts/cru_ts_3.26", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8374717987, "numberOfFiles": 608, "fileFormat": "Data are provided in ASCII and NetCDF formats." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7236/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.\r\n\r\nIn July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In july 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.21 was provided to CEDA for archival in July 2013 by CRU.\r\n\r\nCRU TS 3.22 was provided to CEDA for archival in July 2014 by CRU.\r\n\r\nCRU TS 3.23 was provided to CEDA in October 2015 by CRU. \r\n\r\nCRU TS 3.24 was provided to CEDA for archival in July 2016. This version CRU TSv3.24 has been withdrawn due to quality issues.\r\n\r\nCRU TS 3.24.01 was provided to CEDA for archival in January 2017. \r\n\r\nCRU TS 3.25 was provided to CEDA for archival in September 2017. This is the latest version available and is a replacement of the withdrawn dataset 3.24.01, it supersedes all previous data versions (which are available to allow user comparisons).\r\n\r\nCRU TS 3.26 was provided to CEDA for archival in December 2017. This is the latest version available and supersedes CRU TS 3.25.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10495/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/6669/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/112838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168517/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/6676/?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": 26869, "uuid": "799fd91ff24247e295b406af14d32914", "title": "CRU CY3.26: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.26 (Jan. 1901 - Dec. 2017)", "abstract": "The CRU CY version 3.26 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. \r\n\r\nThis dataset was produced in 2018 by the Climatic Research Unit (CRU) at the University of East Anglia and supersedes version 3.25, additionally however these data are superseded by the CRU CY 4.02 data which has a new processing methodology. This concurrent release of CRU CY 3.26 and CRU CY 4.02 is made to support users during the transition to the CRU CY version 4 data. No further releases of version 3 are planned.\r\n\r\nAn updated set of country definitions have been introduced with this version. Please see the appropriate Release Notes. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY3.26 is derived directly from the CRU TS3.26 dataset. CRU CY version 3.26 spans the period 1901-2017 for 289 countries.\r\n\r\nTo understand the CRU-CY3.26 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.26. It is therefore recommended that all users read the Harris et al, 2014 paper listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users.", "keywords": "CRU, CY, CRU CY, climate", "publicationState": "citable", "dataPublishedTime": "2019-02-19T12:23:04", "doiPublishedTime": "2019-04-01T10:49:28", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26868/?format=api", "dataPath": "/badc/cru/data/cru_cy/cru_cy_3.26", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 49743184, "numberOfFiles": 2921, "fileFormat": "The CRU CY data are provided as text files with the extension \".per\", most text editors will open these files. See the linked file formats guide for more information." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7243/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/513/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/25428/?format=api" ], "dataLineage": "CRU CY is derived directly from the CRU TS dataset, and version numbering is matched between the two datasets. 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 12 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence.", "keywords": "Met Office, UKCP18, BEIS, Defra, land surface, climate observations, hadobs", "publicationState": "citable", "dataPublishedTime": "2018-11-26T09:00:00", "doiPublishedTime": "2019-11-14T16:49:27", "updateFrequency": "notPlanned", "status": "superseded", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26872/?format=api", "dataPath": "/badc/ukmo-hadobs/data/insitu/MOHC/HadOBS/HadUK-Grid/v1.0.0.0/12km", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8773458413, "numberOfFiles": 5926, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7235/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2305/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1633/?format=api", 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The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 25 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. 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variables produced by the Climatic Research Unit (CRU) at the University of East Anglia (UEA), and is intended to be used to drive models. The variables are provided on a 0.5 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 2017.\r\n\r\nThe dataset is constructed by combining data from the Japanese Reanalysis data (JRA) produced by the Japanese Meteorological Agency (JMA) and adjusted where possible to align with the CRU TS 3.26 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 CRUNCEP forcing dataset. The CRU JRA dataset follows the style of Nicolas Viovy's original CRUNCEP dataset rather than that which is available from UCAR. A link to the CRU NCEP documentation for comparison is provided in the documentation section. \r\n\r\nIf this dataset is used in addition to citing the dataset as per the data citation string users must also cite the following:\r\n\r\nHarris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014), Updated\r\nhigh-resolution grids of monthly climatic observations - the CRU TS3.10\r\nDataset. International Journal of Climatology 34, 623-642.\r\n\r\nKobayashi, S., et. al., The JRA-55 Reanalysis: General Specifications and\r\nBasic Characteristics. J. Met. Soc. 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This is the first formal release and was provided to CEDA in December 2018.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10486/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/6672/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/26851/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113201/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113204/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/168497/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27185/?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": 26981, "uuid": "a8e9f44965434f3b861eba77688701ef", "title": "FIDUCEO: Fundamental Climate Data Record of Microwave Brightness Temperatures with uncertainties, 1994 - 2017, v4.1", "abstract": "The FIDUCEO Microwave Fundamental Climate data record, v4.1, contains microwave brightness temperatures and uncertainties for series of satellite instruments (all mission years of SSMT2 on F11, F12, F14, F15; AMSU-B on NOAA15, NOAA16 and NOAA17; and MHS missions (NOAA18, NOAA19, MetopA,-B)). The presented FCDR is a long data record of increased consistency among the instruments compared to the operational data record and is a long enough data record to generate climate data records (CDRs) for climate research. The improvements are based on the strict application of the measurement equation as well as dedicated corrections and improvements within the calibration process. The data record contains quantified uncertainty components, respecting the correlation behaviour of underlying effects.\r\n\r\nFull documentation including product user guide, tutorials, the scientific basis and relevant publications are available in the documentation", "keywords": "FCDR, Fundamental Climate Data Record, Microwave, SSMT-2, AMSU-B, MHS, Uncertainty", "publicationState": "citable", "dataPublishedTime": "2019-09-12T15:34:53", "doiPublishedTime": "2020-06-12T14:34:32.696111", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27508/?format=api", "dataPath": "/neodc/fiduceo/data/fcdr/microwave/v4.1/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2466346897019, "numberOfFiles": 427970, "fileFormat": "NetCDF fiuduceo format see documentation for \r\n\r\n - Basic telemetry: longitude, latitude, time, satellite and solar angles (these angles are not provide for SSMT-2);\r\n- Brightness temperatures for channels 1-5;\r\n-Independent, structured and common uncertainty for channels 1-5;\r\n-for each scan line: original scan line number of the l1b files\r\n- for each scan line: indicator which l1b file it belongs to\r\n-8 bitfields indicating identified problems with the data: one bitmask indicating level of trust in the data (per pixel and scanline), one bitmaks indicating sensor specific quality issues (per pixel and scanline); one bitmask indicating quality issues per scan line, i.e. transmitter status so far (per scanline), 5 bitmasks indicating certain quality issues for each channel (per pixel and per scanline)\r\nThe dimensions of the variables in the NetCDF file are x and y, indicating the pixel and scan line, respectively. 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The instantaneous observations from the FIDUCEO Microwave FCDR are used to derive a spatio-temporal averaged data record, which contains monthly mean UTH and brightness temperature mapped to a regular latitude/longitude grid covering the tropical region (-30° to 30° N), with a spatial resolution of 1° x 1°. It covers all mission years of the Special Senson Microwave for Temperature (SSMT2) instrument on the F11, F12, F14, F15 satellites, the Advanced Mircowave Sounding Unit (AMSU-B ) instrument on the NOAA 15-17 satellites and the Microwave Humidity Sounder (MHS) instruments on the NOAA18, NOAA19, MetopA, Metop-B satellites. \r\n\r\nFull documentation including product user guide, tutorials and relevant publications are available in the documentation", "keywords": "CDR, Climate Data Record, Upper Trosphere Humidity, Microwave, SSMT-2, AMSU-B, MHS, Uncertainty", "publicationState": "citable", "dataPublishedTime": "2019-09-12T16:31:51", "doiPublishedTime": "2020-06-12T14:36:36.133735", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27748/?format=api", "dataPath": "/neodc/fiduceo/data/cdr/UTH_MW/v1.2/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4234786629, "numberOfFiles": 1022, "fileFormat": "The file format is netCDF, and each UTH CDR file for this version contains:Longitudes and Latitudes of grid cell centres and grid cell boundaries; Observation and satellite overpass counts for ascending and descending branches; Earliest and latest time of day of pixel contribution to the monthly average, for ascending and descending branches;; Monthly average and standard deviation of 183.31±1 GHz brightness temperatures that were used to derive UTH (excluding cloudy pixels), for ascending and descending branches;Monthly average of all 183.31±1 GHzbrightness temperatures (including cloudy pixels), for ascending and descending branches;Monthly average and standard deviation of UTH (derived from channel 3 brightness temperatures);Independent, structured and common uncertainty for monthly averages of brightness temperatures and UTH, for ascending and descending branches;The dimensions of the variables in the NetCDF file are xand y, indicating east-west and north-south direction, respectively. 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Sentinel 3B was launched on the 25th April 2018. \r\n\r\nThe primary mission objective of the SLSTR instrument is to extend the long-term consistent set of global Sea Surface Temperature (SST) measurements. In addition, SLSTR using a suite of visible and infrared radiance measurements provides land surface temperature (LST), active fire monitoring, ice surface temperature, cloud, atmospheric aerosol, land surface, forestry and hydrology products in support of Copernicus services. Data are provided by ESA and are made available via CEDA to any registered user.", "keywords": "Sentinel, Radiances and Brightness Temperature, SLSTR. Sentinel 3, Sentinel 3B", "publicationState": "published", "dataPublishedTime": "2021-02-07T15:32:17", "doiPublishedTime": null, "updateFrequency": "continual", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26987/?format=api", "dataPath": "/neodc/sentinel3b/data/SLSTR/L1_RBT/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 970070612691904, "numberOfFiles": 7283022, "fileFormat": "These data files are in NetCDF4 format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/4980/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data collected and prepared by European Space Agency (ESA). Downloaded from the ESA Scientific Data Hub (Scihub) for use by the CEDA registered users.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12321/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32784/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/146234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113235/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/26988/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2586/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 26992, "uuid": "f06cd9965a344be190681e18a81159ee", "title": "Sentinel 3B Ocean and Land Colour Instrument (OLCI) Ocean Colour Full Resolution (EFR) data", "abstract": "This dataset contains ocean and land colour imagery data from the Ocean and Land Colour Instrument (OLCI) aboard the European Space Agency (ESA) Sentinel 3B Satellite. Sentinel 3B was launched on the 25th April 2018. Data are provided by ESA and are made available via CEDA to any registered user. OLCI is an optical instrument used to provide data continuity for Environmental Satellite (ENVISAT's) Medium Resolution Imaging Spectrometer (MERIS). OLCI is a push-broom imaging spectrometer that measures solar radiation reflected by the Earth. The OLCI radiometer images using 21 spectral bands ranging from 400nm to 1020nm. The Full Resolution (EFR) data is calibrated, geo-located and spatially re-sampled Top Of Atmosphere (TOA) radiance for all 21 OLCI spectral bands. For the normal orbit of Sentinel 3B the OLCI instrument provides a spatial resolution of 300m.\r\n\r\nThe OLCI files are collected into a SAFE container. Processed level-1 products are encapsulated in free-standing NetCDF 4 product files.", "keywords": "Sentinel, Ocean and Land Colour Instrument, OLCI", "publicationState": "published", "dataPublishedTime": "2022-10-18T14:56:16", "doiPublishedTime": null, "updateFrequency": "continual", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/26993/?format=api", "dataPath": "/neodc/sentinel3b/data/OLCI/L1_EFR/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 179301427283069, "numberOfFiles": 720194, "fileFormat": "Data are in NetCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/4980/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data collected and prepared by European Space Agency (ESA). Downloaded from the ESA hubs for use by the CEDA community.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/12321/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/32784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/30129/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182462/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113262/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169728/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113263/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113269/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113265/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/38320/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2586/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 27012, "uuid": "d459cadad5f342e5a673463dce2a9b4e", "title": "Global gas flaring activity from the ATSR (1991-2012) and SLSTR (2017-2018) sensors", "abstract": "This dataset contains Global gas flaring activity from the Along Track Scanning Radiometer (ATSR) (1991-2012) and Sea and Land Surface Temperature Radiometer (SLSTR) (2017-2018) sensors. The data records have been processed to identify persistent thermal anomalies with spectral characteristics consistent with the combustion of natural gas during industrial gas flaring activities.\r\n\r\nTwo different datasets are produced globally for each sensor type, one recording the activity and the other the sampling of these assumed gas flaring sites.\r\n\r\nThe activity dataset records whenever a flare is up, i.e. is actively combusting, and provides a characterisation of the flares behaviour in terms of radiant heat output (in W). The determination of radiant heat output is achieved using the single channel SWIR radiance method of Fisher and Wooster (2018), based on the MWIR radiance method used extensively in the analysis of biomass burning.\r\n\r\nThe sampling dataset records whenever a flaring site is seen by the satellite (irrespective of whether it is up or not) and also provides information on typical levels of cloud cover in the vicinity of the flare.\r\n\r\nThe activity dataset contains information on the point location of the flare (accurate to within approximately ±1km) in the form of a lat/lon coordinate. Also provided is an index lookup that can be used to simply aggregate the flaring activity into arc-minute bins and these are referred to as lat_arcmin and lon_arcmin in the dataset.\r\n\r\nThe sampling dataset is provided at the spatial level of the arc-minute binning only, and when merged onto the activity dataset long-term assessment of a flaring site can be performed. Such estimates of flaring activity over extended time periods for a given flaring site can be made by calculating the flare up-time (times seen actively flaring over time period or the expected number of cloud free overpasses for time period) and the mean radiant heat output of the flare for the same time period. The product of time period (in seconds), the estimated flare up-time and the mean radiant heat output provides an estimate of typical flare activity.", "keywords": "Global gas, ATSR, SLSTR", "publicationState": "citable", "dataPublishedTime": "2019-08-05T11:02:26", "doiPublishedTime": "2019-08-05T12:32:47", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27011/?format=api", "dataPath": "/neodc/global_gas_flaring/data/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2805392493, "numberOfFiles": 519, "fileFormat": "Data are BADC-CSV formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7272/?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/83782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83787/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83788/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/83799/?format=api" ], "dataLineage": "This dataset was produced as part of research into further applications of the MWIR Radiance method for the characterisation of thermal anomalies carried out under NERC NCEO funding. The data were then sent to the Centre for Environmental Analysis for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10539/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/115501/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/27610/?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": 27020, "uuid": "02c6f4eea9914e5c8a8390dd09e5709a", "title": "Global predicted sea-surface iodide concentrations v0.0.0", "abstract": "This dataset contains global spatially predicted sea-surface iodide concentrations at a monthly resolution. This dataset was developed as part of the NERC project Iodide in the ocean:distribution and impact on iodine flux and ozone loss (NE/N009983/1), which aimed to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition.\r\n\r\nThe main ensemble prediction (\"Ensemble Monthly mean \") is provided in a NetCDF (1) file as a single variable. A second file (2) is provided which includes all of the predictions and the standard deviation on the prediction.\r\n\r\n(1) predicted_iodide_0.125x0.125_Ns_Just_Ensemble.nc\r\n\r\n(2) predicted_iodide_0.125x0.125_Ns_All_Ensemble_members.nc\r\n\r\nThis is the output of the paper 'A machine learning based global sea-surface iodide distribution' (see related documentation). For ease of use, this output has been re-gridded to various commonly used atmosphere and ocean model resolutions (see table SI table A5 in paper). These re-gridded files are included in the folder titled \"regridded_data\".\r\n\r\nAdditionally, a file (3) is provided including the prediction made included data from the Skagerak dataset. As stated in the paper referenced above, it is recommended to use the use the core files (1,2) or their re-gridded equivalents.\r\n\r\n(3) predicted_iodide_0.125x0.125_All_Ensemble_members.nc\r\n\r\nAs new observations are made, we will update the global dataset through a \"living data\" model. The dataset versions archived here follow semantic versioning (https://semver.org/) The pre-review dataset is achieved in the folder named v0.0.0, with the with publically released versions numbered starting from v1.0.0. 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These records were produced as part of the Operation Weather Rescue project. \r\n\r\nBetween 1883 and 1904, detailed meteorological observations were taken at the summit of Ben Nevis (56.80N, 5.00W, 1345m elevation) and in the town of Fort William (56.81N, 5.12W, 13m elevation). Hourly observations include temperature (both wet and dry bulb), rainfall, atmospheric pressure at both locations. Daily observations include minimum and maximum temperatures and rainfall. Additional observations taken at Fort William School during the same period are also included. 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regional climate model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the East Asia Domain (EAS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the East Asia CORDEX domain (EAS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. 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aircraft campaign measuring clouds, aerosols, and boundary layer properties over the Weddell Sea, Antarctica. These data are simulations of the Polar-optimised Weather Research and Forecasting (PWRF) model for 5 configurations of the model's Morrison microphysics scheme, produced for a case study of two separate flights over the same region during the campaign (British Antarctic Survey MASIN twin-otter aircraft flights 218 an 219 on 27th November 2015). Each simulation contains data from two domains - a parent domain with 5km grid size and a nest with a 1km grid size.\r\n\r\nThe control simulation used default physics options in the PWRF model's Morrison microphysics scheme. 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WRF data has been converted to CF-netCDF using python's netCDF-4 library, then passed on to the CEDA for archiving.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/10223/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/19273/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/19274/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113376/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/27056/?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": 27057, "uuid": "8889dfe3de45406e815bce13ae8a0c92", "title": "ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Calving Front Locations, v3.0", "abstract": "The data set provides calving front locations of 28 major outlet glaciers of the Greenland Ice Sheet, produced as part of the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. \r\n\r\nThe Calving Front Location (CFL) of outlet glaciers from ice sheets is a basic parameter for ice dynamic modelling, for computing the mass fluxes at the calving gate, and for mapping glacier area change. \r\n\r\nThe calving front location has been derived by manual delineation using SAR (Synthetic Aperture Radar) data from the ERS-1/2, Envisat and Sentinel-1 satellites and satellite imagery from LANDSAT 5,7,8. The digitized calving fronts are stored in ESRI vector shape-file format and include metadata information on the sensor and processing steps in the corresponding attribute table.\r\n\r\nThe product was generated by ENVEO (Environmental Earth Observation Information Technology GmbH)", "keywords": "Greenland, Ice sheet, CCI, ESA", "publicationState": "published", "dataPublishedTime": "2019-05-21T13:48:24", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27062/?format=api", "dataPath": "/neodc/esacci/ice_sheets_greenland/data/greenland_calving_front_locations/v3.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 211204121, "numberOfFiles": 4369, "fileFormat": "Dara are ESRI vector shape-file format and include metadata information on the sensor and processing steps in the corresponding attribute table" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7282/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1650/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by ENVEO (Environmental Earth Observation Information Technology GmbH) as part of the ESA CCI Greenland Ice Sheet project and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/14317/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/14316/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/113410/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2553/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_icesheets_greenland_terms_and_conditions.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 27058, "uuid": "0a0f559a083f4cea84971dd486e0efa3", "title": "CORDEX AUS-44 data produced by the Met Office Hadley Centre regional climate model HadRM3P", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Australasia Domain (AUS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Australasia CORDEX domain (AUS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are stored on the native grid used for the simulation, which has a consistent spatial resolution across the simulation domain. Each variable is stored at the daily timescale. The collection also includes monthly and seasonal averages. In addition, the archive also includes sub-daily data.\r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.", "keywords": "CORDEX, Australasia, AUS-44, Region 9, 0.44 deg, HadRM3P, ERAINT, Evaluation", "publicationState": "published", "dataPublishedTime": "2019-02-24T18:46:46", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/27059/?format=api", "dataPath": "/badc/cordex/data/cordex/output/AUS-44/MOHC/ECMWF-ERAINT/evaluation", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 112000000000, "numberOfFiles": 1513, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/7262/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2344/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/1050/?format=api", 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regional climate model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Australasia Domain (AUS-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the Australasia CORDEX domain (AUS-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. The collection includes monthly averages and seasonal means. \r\n\r\nThe CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. 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regional climate model HadRM3P and interpolated to a common latitude-longitude grid", "abstract": "Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the South America Domain (SAM-44). \r\n\r\nThe data is produced by the MetOffice Hadley Centre regional model HadRM3P running at 0.44 degree resolution over the South America CORDEX domain (SAM-44). \r\nHadRM3P is a regional climate model based on the HadCM3 Coupled Climate Model.\r\nThe HadRM3P model is driven by European Centre for Medium-Range Weather Forecasts (ECMWF) ERA-Interim reanalysis data to run the CORDEX Evaluation experiment, representative of the period from 1990 to 2011.\r\n\r\nThe model outputs are interpolated to a common latitude-longitude grid. 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These data are global sub-daily surface meteorological data that extends HadISD v2.0.2.2017f to include 2018 and so spans 1931-2018.\r\n\r\nThe quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. \r\n\r\nThe data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format \"station_code\"_HadISD_HadOBS_19310101-20181231_v3-0-0-2018f.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height.\r\n\r\nTo keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.\r\n\r\nFor more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/\r\n\r\nReferences:\r\nWhen using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the \"citable as\" reference) :\r\n\r\nDunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.\r\n\r\nDunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012\r\n\r\nSmith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1\r\n\r\nFor a homogeneity assessment of HadISD please see this following reference\r\n\r\nDunn, R. J. H., K. M. Willett, C. P. Morice, and D. E. 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