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=10100
{ "count": 10253, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=10200", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observations/?format=api&limit=100&offset=10000", "results": [ { "ob_id": 45033, "uuid": "57c574812d36414bb6c56732221c83d1", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Universidade de Évora's vaisala-cl31 instrument deployed at Evaso, Portugal", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Universidade de Évora's vaisala-cl31 deployed at Evaso, Portugal.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-620-3704-5480.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.", "keywords": "E-PROFILE, ceilometer measurements", "publicationState": "published", "dataPublishedTime": "2023-09-29T10:57:57", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45032/?format=api", "dataPath": "/badc/eprofile/data/daily_files/portugal/evaso/evora-university-vaisala-cl31_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1020964821, "numberOfFiles": 759, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12778/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4919/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62347/?format=api" ], "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). CEDA then produces daily concatenated files before ingestion into the CEDA Archive.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32779/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34905/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215599/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/45034/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2527/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/cuncgl", "licenceClassifications": "personal, academic, policy" } ], "discoveryKeywords": [] }, { "ob_id": 45037, "uuid": "d637557c5e244f4294b4328396d6e2ad", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from Agencija Republike Slovenije Za Okolje's vaisala-cl51 instrument deployed at Ljubljana Bezigrad, Slovenia", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Agencija Republike Slovenije Za Okolje's vaisala-cl51 deployed at Ljubljana Bezigrad, Slovenia.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-14015.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.", "keywords": "E-PROFILE, ceilometer measurements", "publicationState": "published", "dataPublishedTime": "2023-07-26T09:09:28", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45036/?format=api", "dataPath": "/badc/eprofile/data/daily_files/slovenia/ljubljana-bezigrad/slovenian-environment-agency-vaisala-cl51_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2313752000, "numberOfFiles": 887, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12779/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4920/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62347/?format=api" ], "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). CEDA then produces daily concatenated files before ingestion into the CEDA Archive.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32779/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34905/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215610/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215613/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/45038/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2527/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/cuncgl", "licenceClassifications": "personal, academic, policy" } ], "discoveryKeywords": [] }, { "ob_id": 45042, "uuid": "e603224b49214a89bc8571be1149e7d0", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from CIEMAT's lufft-chm15k instrument deployed at Ciemat Madrid, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT)'s lufft-chm15k deployed at Ciemat Madrid, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-724-60000-0000000CIEMAT001.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.", "keywords": "E-PROFILE, ceilometer measurements", "publicationState": "published", "dataPublishedTime": "2025-08-06T09:43:37", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45041/?format=api", "dataPath": "/badc/eprofile/data/daily_files/spain/ciemat-madrid/ciemat-lufft-chm15k_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1172361232, "numberOfFiles": 442, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12780/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4921/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62526/?format=api" ], "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). CEDA then produces daily concatenated files before ingestion into the CEDA Archive.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/32779/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/34905/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215623/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215624/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215625/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215626/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215627/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215628/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215629/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215630/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/45043/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2527/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/cuncgl", "licenceClassifications": "personal, academic, policy" } ], "discoveryKeywords": [] }, { "ob_id": 45047, "uuid": "a260ec3c086041ba8f90a8a744bdce50", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from UGR's lufft-chm15k instrument deployed at Guadiana Ugr, Spain", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from University of Granada (UGR)'s lufft-chm15k deployed at Guadiana Ugr, Spain.\n\nThese data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide.\n\nThe site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-724-60000-000000000UGRA001.\n See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool.\n \nEUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.", "keywords": "E-PROFILE, ceilometer measurements", "publicationState": "published", "dataPublishedTime": "2024-05-16T23:40:49", "doiPublishedTime": null, "updateFrequency": "daily", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45046/?format=api", "dataPath": "/badc/eprofile/data/daily_files/spain/guadiana-ugr/granada-university-lufft-chm15k_A", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1225351407, "numberOfFiles": 463, "fileFormat": "Data are netCDF formatted." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12781/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4922/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50359/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50370/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50371/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62526/?format=api" ], "dataLineage": "Data were collected by instrument and transmitted to the central E-PROFILE processing hub at the UK's Met Office before preparation and delivery to the Centre for Environmental Data Analysis (CEDA). 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The ACTIVE product has been created by fusing scatterometer soil moisture products, derived from the active remote sensing instruments AMI-WS and ASCAT. PASSIVE and COMBINED products have also been created.\r\n\r\nThe v09.2 ACTIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees and is an extension in time of the v09.1 ACTIVE product. It is provided in percent of saturation [%] and covers the period (yyyy-mm-dd) 1991-08-05 to 2024-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, Soil Moisture, CCI, Active", "publicationState": "published", "dataPublishedTime": "2025-12-03T12:35:34", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45140/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/ACTIVE/v09.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7860905106, "numberOfFiles": 12124, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12804/?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/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62745/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/45088/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215796/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215791/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215792/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215793/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215794/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215795/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215789/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215790/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215806/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215807/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215808/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43035/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2577/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 45086, "uuid": "d4e66299f5054129b8076fb7502949e1", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): COMBINED product, Version 09.2", "abstract": "The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The COMBINED product has been created by directly merging Level 2 scatterometer ('active' remote sensing) and radiometer ('passive' remote sensing) soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created.\r\n\r\nThe v09.2 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees and is an extension in time of the v09.1 COMBINED product. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2024-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, Soil Moisture, CCI, Combined", "publicationState": "published", "dataPublishedTime": "2025-12-03T12:44:02", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45141/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/COMBINED/v09.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 23696603475, "numberOfFiles": 16864, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12806/?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/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62745/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/45088/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215814/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215816/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215809/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215810/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215815/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215811/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215812/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215813/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215818/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215817/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215820/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215821/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215822/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215823/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215824/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215828/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43041/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2577/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 45087, "uuid": "c93c99588d5848b1ac7833e3bc6d5c2d", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): PASSIVE product, Version 09.2", "abstract": "The Soil Moisture CCI PASSIVE dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The PASSIVE product has been created by merging data from the SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP passive remote sensing satellite instruments. ACTIVE and COMBINED products have also been created.\r\n\r\nThe v09.2 PASSIVE product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees and is an extension in time of the v09.1 PASSIVE product. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2024-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website.\r\n\r\nThe data set should be cited using the following references:\r\n\r\n1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019\r\n\r\n2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001\r\n\r\n3. Preimesberger, W., Scanlon, T., Su, C. -H., Gruber, A. and Dorigo, W., \"Homogenization of Structural Breaks in the Global ESA CCI Soil Moisture Multisatellite Climate Data Record,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 2845-2862, April 2021, doi: 10.1109/TGRS.2020.3012896.", "keywords": "ESA, CCI, Passive, Soil Moisture", "publicationState": "published", "dataPublishedTime": "2025-12-03T12:40:14", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45142/?format=api", "dataPath": "/neodc/esacci/soil_moisture/data/daily_files/PASSIVE/v09.2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 21886294122, "numberOfFiles": 16864, "fileFormat": "The data are provided in netCDF format." }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12805/?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/52664/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/52665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54641/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/54651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62501/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62745/?format=api" ], "dataLineage": "Data were processed by the ESA CCI Soil Moisture project team and transferred to CEDA for the ESA CCI Open Data Portal Project", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13332/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/45088/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215843/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215844/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215845/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215846/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215847/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/215848/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43040/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2577/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_soilmoisture_terms_and_conditions_v2.pdf", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1140, "name": "ESACCI" } ] }, { "ob_id": 45105, "uuid": "9487085a6a3d4ca1aafa7c569e840d2a", "title": "GloSAT historical1750 simulations : UKESM1-1-LL simulations covering the period 1750-2014", "abstract": "The Global Surface Air Temperature (GloSAT) model simulations were run on UK supercomputing platforms ARCHER2 and MONSooN using the UKESM1-1-LL UK Earth System Model described in Mulcahy, et al 2023 (https://doi.org/10.5194/gmd-16-1569-2023).\r\nThe simulations were run under the NERC funded project GloSAT. NE/S015647/2\r\n\r\nThe experiments and model set up are all described in:\r\nBallinger, A., Schurer, A., Hegerl, G., Dittus, A., Hawkins, E., Cornes, R., Kent, E., Marshall, L., Morice, C., Osborn, T., and Rayner, N.A. Rumbold, S.:(2025) Importance of beginning industrial-era climate simulations in the eighteenth century, Environmental Research Letters,650, accepted.\r\n\r\nThis dataset contains 100 monthly variables for 6 historical 1750 ensemble members in CMOR CMIP6 netcdf data format (Climate Model Output Rewriter Coupled Model Intercomparison Project 6).", "keywords": "GloSAT,Climate model,UKESM1.1-LL", "publicationState": "citable", "dataPublishedTime": "2025-12-19T11:21:58", "doiPublishedTime": "2025-12-19T11:58:14", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45211/?format=api", "dataPath": "/badc/glosat/data/GloSAT_historical1750", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2589423723850, "numberOfFiles": 1982, "fileFormat": "CMOR CMIP6 NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12818/?format=api", "geographicExtent": 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Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G. Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.\r\n\r\n---------------------------------------------------\r\n Figure subpanels\r\n ---------------------------------------------------\r\n The figure has 2 subpanels, with data provided for both panels.\r\n\r\n---------------------------------------------------\r\n List of data provided\r\n ---------------------------------------------------\r\n This dataset contains:\r\n- (Left panel) Absolute anomaly of monthly-mean Arctic sea ice area during the period 1979 to 2019 relative to the average monthly-mean Arctic sea ice area during the period 1979 to 2008. \r\n- (Right panel) Sea ice concentration in the Arctic for March and September, which usually are the months of maximum and minimum sea ice area, respectively. \r\n\r\nFirst column: Satellite-retrieved mean sea ice concentration during the decade 1979–1988. Second column: Satellite-retrieved mean sea ice concentration during the decade 2010-2019. \r\nThird column: Absolute change in sea ice concentration between these two decades, with grid lines indicating non-significant differences. \r\nFourth column: Number of available CMIP6 models that simulate a mean sea ice concentration above 15 % for the decade 2045–2054. \r\n\r\nThe average observational record of sea ice area is derived from the UHH sea ice area product (Doerr et al., 2021), based on the average sea ice concentration of OSISAF/CCI (OSI-450 for 1979–2015, OSI-430b for 2016–2019) (Lavergne et al., 2019), NASA Team (version 1, 1979–2019) (Cavalieri et al., 1996) and Bootstrap (version 3, 1979–2019) (Comiso, 2017) that is also used for the figure panels showing observed sea ice concentration. \r\n\r\nFurther details on data sources and processing are available in the chapter data table (Table 9.SM.9)\r\n\r\n---------------------------------------------------\r\n Data provided in relation to figure\r\n ---------------------------------------------------\r\n Data provided in relation to Figure 9.13\r\n \r\n - Data file: NSIDC_polehole_big.nc\r\n - Data file: NSIDC_polehole_small.nc\r\n - Data file: SeaIceArea__NorthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: SeaIceArea__SouthernHemisphere__monthly__UHH__v2019_fv0.01.nc\r\n - Data file: cryo_div.txt\r\n - Data file: cryo_seq.txt\r\n\r\nExtracted from 'mapplot_data.npz':\r\n - Data file: nmodels_ssp245_nh_nhsummer.nc\r\n - Data file: nmodels_ssp245_nh_nhwinter.nc\r\n - Data file: nmodels_ssp245_sh_nhsummer.nc\r\n - Data file: nmodels_ssp245_sh_nhwinter.nc\r\n - Data file: sic_obs_nh_nhsummer.nc\r\n - Data file: sic_obs_nh_nhwinter.nc\r\n - Data file: sic_obs_sh_nhsummer.nc\r\n - Data file: sic_obs_sh_nhwinter.nc\r\n\r\nData from the datafile 'mapplot_data.npz' included in the 'Plotted Data' folder of the dedicated GitHub repository has been extracted in NetCDF format for archival by the authors. The original .npz file is not archived here but on Zenodo at the link provided in the Related Documents section of this catalogue record.\r\n\r\nCMIP6 is the sixth phase of the Coupled Model Intercomparison Project.\r\nNSIDC is the National Snow and Ice Data Center.\r\nUHH is the University of Hamburg (Universtität Hamburg).\r\n\r\n ---------------------------------------------------\r\n Notes on reproducing the figure from the provided data\r\n ---------------------------------------------------\r\nBoth panels were plotted using standard matplotlib software - code is available via the link in the documentation.\r\n\r\n ---------------------------------------------------\r\n Sources of additional information\r\n ---------------------------------------------------\r\n The following weblinks are provided in the Related Documents section of this catalogue record:\r\n - Link to the figure on the IPCC AR6 website\r\n - Link to the report component containing the figure (Chapter 9)\r\n - 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The dominant sources were biomass burning, traffic emissions, resuspended dust, and secondary aerosols. The dataset includes time series of the identified source contributions at both sites.", "keywords": "PM2.5,Source Apportionment,Biomass burning,West Midlands", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12823/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4943/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "PM₂.₅ filter samples were collected using high-volume samplers at Birmingham Air Quality Supersite and Ladywood. Filters were analysed offline to determine chemical composition, and Positive Matrix Factorization was applied to the speciation data to identify PM₂.₅ sources.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/45144/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216047/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216051/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216052/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216053/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216054/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216055/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45149, "uuid": "ba3d371d022a44558d0881dd29b998f0", "title": "LAI4g-1-2", "abstract": "Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020 prepared from satellite (merged) data by Peking University. \r\nUses data from the imaging spectroradiometer instruments AVHRR, Landsat, MODIS.", "keywords": "", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12832/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4944/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "CMORised dataset prepared by PKU to be obs4MIPs compliant, after a request was made to the authors by Dora Hegedus on behalf of the Rapid Evaluation Framework", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216064/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216074/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/45150/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45152, "uuid": "f24dd0378c054c5194acabed796b7085", "title": "Modelled West Midlands Air Quality Maps for 2016", "abstract": "High resolution air quality models combining emissions, chemical processes, dispersion and dynamical treatments are necessary to develop effective policies for clean air in urban environments. We applied task farming to reduce runtime for ADMS-Urban, a quasi-Gaussian plume air dispersion model. The model represents the full range of source types (point, road and grid sources) occurring in an urban area at high resolution. We implemented and evaluated the option to automatically split up a large model domain into smaller sub-regions, each of which can then be executed concurrently on multiple cores of a HPC or across a PC network, a technique known as task farming. The approach has been tested for a large model domain covering the West Midlands, UK, as part of modelling work in the WM-Air (West Midlands Air Quality Improvement Programme) project. 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We applied task farming to reduce runtime for ADMS-Urban, a quasi-Gaussian plume air dispersion model. The model represents the full range of source types (point, road and grid sources) occurring in an urban area at high resolution. We implemented and evaluated the option to automatically split up a large model domain into smaller sub-regions, each of which can then be executed concurrently on multiple cores of a HPC or across a PC network, a technique known as task farming. The approach has been tested for a large model domain covering the West Midlands, UK, as part of modelling work in the WM-Air (West Midlands Air Quality Improvement Programme) project. Annual air quality maps for the baseline and modelling scenarios have been generated.", "keywords": "Air quality modelling,ADMS-Urban,High Performance Computing,West Midlands", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12831/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4949/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Air quality map in .tif format", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/45144/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216098/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216100/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216102/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216104/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216106/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45165, "uuid": "2e410be04eab4cbeab246249cfd8ef88", "title": "OLC-ORS-V0", "abstract": "Volumetric soil moisture content-in-situ site data, blended offline LSMs, reanalysis, and satellite data from RUBISCO Soil Moisture Working Group. Hybrid gridded products are generated using various statistical methods without involving any direct measurement techniques. See the latest paper in Scientific Data [link below].", "keywords": "obs4MIPs,obs4REF,RUBISCO,soil moisture,LSM,hybrid,volumetric", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12837/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4950/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Original dataset was prepared by the team at Oak Ridge National Laboratory using blended offline LSMs, reanalysis, and satellite data. This dataset was then post-processed by Yaoping Wang using CMOR 3.10", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216121/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45166, "uuid": "4741ec97737442e8abbef4c9fe3e5bbf", "title": "MGOHCTA-WOA09", "abstract": "Ocean Heat Content (ohc) 10E22 joules -Gridded in-situ. World Ocean Atlas 2009 mean climatological fields for years 1955-2010 as a basis for anomaly calculations, data taken from Expendable Bathythermographs (XBT) and Mechanical Bathythermographs (MBT), and Argo floats.\r\nData for temperature and salinity observations, temperature and salinity anomaly fields for depths 0-2000m, heat content and steric sea level (thermosteric, halosteric, total) are updated quarterly. Temperature anomalies and heat content fields are detailed in World Ocean Heat Content and Thermosteric Sea Level change (0-2000 m), 1955-2010, publication. The same calculations have been extended to keep the fields current and include fields of salinity anomalies, and steric sea level components", "keywords": "obs4MIPs,obs4REF,ocean heat content,ohc,WOA,anomaly,Argo,XBT,MBT,temperature,salinity", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12838/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4951/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Original dataset prepared by National Centres for Environmental Information, and post-processed by CMIP IPO to be added to the obs4MIPs repository in ESGF.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216124/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216126/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216127/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216129/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216130/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216131/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216133/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216134/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45168, "uuid": "e3f42bece9364be3a5653f4c71f2905c", "title": "NCEO aboveground biomass maps for years 2007-2010 & 2015-2017 (v1.0)", "abstract": "The product contains maps of aboveground biomass (AGB) estimates and their uncertainty (AGB standard deviation) in the African continent at 100m spatial resolution for years 2007, 2008, 2009, 2010, 2015, 2016, 2017. The maps are in GEOTIFF format and the unit of pixel values is ton per hectare. \r\n\r\nDetails of the methods for data production are provided in the following paper:\r\nRodríguez-Veiga, P., Carreiras, J.M.B., Quegan, S. et al. Loss of tropical moist broadleaf forest has turned Africa’s forests from a carbon sink into a source. Sci Rep 15, 41744 (2025). https://doi.org/10.1038/s41598-025-27462-3", "keywords": "Forests,Biomass,Carbon,Africa,Climate", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12844/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4956/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Aboveground biomass (AGB) was estimated using satellite-based canopy estimates and ground-based tree height and AGB data. Input data for modelling canopy height are HH and HV backscatter from ALOS PALSAR 1 and 2 and tree cover fraction from Landsat. Relative height 100% from spaceborne LiDAR GEDI was used for training. An empirical model, built with field and ALS data, was used for converting canopy height to aboveground biomass.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/45169/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216135/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216148/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45174, "uuid": "543bea782a664a9cb044b1cfd82d31fe", "title": "ESA River Discharge Climate Change Initiative (RD_cci): Altimetry-based River Discharge product, v2.0", "abstract": "This dataset comprises the altimetry-based river discharge (RD-ALTI) Climate Research Data Package (CRDP), derived from nadir radar altimeter missions by the ESA CCI River Discharge precursor project (RD_cci). \r\n\r\nIt provides long-term satellite river discharge (RD) time series at specified locations (defined in the \"Selection of river basins\" document, available at https://climate.esa.int/documents/2189/D2_CCI-Discharge-0004-RP_WP2_v1-1.pdf) River discharge (in m3/s) corresponds to the water volume passing through the river cross-section per unit of time. In this dataset, it is computed from a rating curve applied to long-term satellite altimeter water surface elevation (WSE) from https://catalogue.ceda.ac.uk/uuid/c5f0aa806ec444b4a4209b49efc4bb65. The rating curve is obtained by fitting the relationship between in-situ discharge and altimeter WSE with a power law following a Bayesian approach.", "keywords": "CCI, River Discharge, Altimeter", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11812/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the River Discharge CCI precursor project team, comprising Hydro Matters, LEGOS, and EOLA.\r\n\r\nData were supplied for archiving at the Centre for Environmental Data Analysis (CEDA) as part of the CCI Open Data Portal in the context of the CCI Knowledge Exchange Project.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41537/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216163/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216159/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216160/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216162/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216172/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43053/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45175, "uuid": "4d3dbae68be14f9787f7371b25f80156", "title": "ESA River Discharge Climate Change Initiative (RD_cci): Multispectral indices-based River Discharge Product, v2.0", "abstract": "This dataset contains river discharge (Q) data in cubic meters per second (m3/s) from the ESA Climate Change Initiative River Discharge project (RD_cci). \r\n\r\nThese river discharge time series have been computed at different locations from several satellite multispectral missions (Landsat-5, -7, -8, -9, MODIS Aqua, MODIS Terra, Sentinel-3 A/B OLCI, Sentinel-2 MSI). At each location, time series are provided for each available single sensor and then merged in a unique time series. These multi-mission, multispectral time series are also referred to as CM. The river discharges are derived following several approaches:\r\n\r\nCalibrated CM approach - best fit regression (cal-BestFit): by non-linear regression relationship between the multi-mission time series and the ground observed river discharge;\r\n\r\nCalibrated CM approach - copula regression (cal-copula): by a bivariate cumulative distribution function which is applied between the multi-mission time series and the ground observed river discharge to get their joint probability distribution;\r\n\r\nUncalibrated CM approach – CDF (uncal_CDF): by Cumulative Distribution Function curves calculated to generate the percentiles associated to the discharges from the reflectance time series.", "keywords": "river discharge, CCI, multispectral", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11887/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the River Discharge CCI project, and supplied to CEDA for archiving as part of the CCI Open Data Portal.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41537/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216183/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43210/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45176, "uuid": "dee2de144465463280d3d91fdea0375a", "title": "ESA River Discharge Climate Change Initiative (RD_cci): New product", "abstract": "To be written", "keywords": "river discharge, CCI, multispectral", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11887/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the River Discharge CCI project, and supplied to CEDA for archiving as part of the CCI Open Data Portal.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41537/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216194/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43210/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45177, "uuid": "4be5091f70f04e50b1c1da79d2d89a97", "title": "ESA Sea Level Climate Change Initiative (Sea_Level_cci): New network of virtual altimetry stations for measuring sea level along the world coastlines from 2002 to 2021, v3.0", "abstract": "This dataset contains a 19.5-year-long (January 2002 to June 2021), high-resolution (20 Hz), along-track sea level dataset in most of the world coastal zones, including tropical islands. It has been developed within the sea level project of the European Space Agency (ESA) Climate Change Initiative (SL_cci). \r\n\r\nThe main objective of this dataset is to analyze the sea level trends as well as the inter-annual variability at local scale at an average of less than 2.5km from the coastline. It provides essential information in areas devoid of other sources of measurements, and it also allows filling the gaps in existing timeseries of tide gauges located nearby the stations.\r\n\r\nThis dataset of coastal sea level anomalies is based on the reprocessing of raw radar altimetry waveforms from the Jason-1, Jason-2 and Jason-3 satellite missions to derive satellite-sea surface ranges as close as possible to the coast (a process called ‘retracking’) and optimization of the geophysical corrections applied to the range measurements to produce sea level time series.\r\n\r\nThis large amount of coastal sea level estimates has been further analysed to produce the present dataset: a total of 1634 altimetry-based virtual coastal stations have been selected and sea level anomalies time series together with associated coastal sea level trends have been computed over the study time span.\r\n\r\nThe new updated version (v3.0; June 2025) of along-track coastal sea level time series and associated trends from January 2002 to June 2021 differs from the previous v2.4 product (released in November 2024) by a spatial extension. It also uses the new improved FES22 ocean tide model instead of FES14 model in the previous versions. The data editing (outlier removal) has slightly evolved, and a new variable has been added (sla_mean_10pts_filt). We strongly recommend the users to use this latest v3.0 product.\r\n\r\nFor the latest version of the documentation, see the 'Technical Coastal Sea Level' Key Documents section of the project's website (https://climate.esa.int/en/projects/sea-level/).\r\nThis dataset is v3.0 of the data and is a copy of the v3.0 data published on the SEANOE (SEA scieNtific Open data Edition) website (https://doi.org/10.17882/74354#122284).\r\n\r\nThe dataset should be cited as: Cazenave Anny, Gouzenes Yvan, Leclercq Lancelot, Birol Florence, Legér Fabien, Passaro Marcello, Calafat Francisco M, Shaw Andrew, Niño Fernando, Legeais Jean François, Oelsmann Julius, Benveniste Jérôme, Connors Sarah (2025). New network of virtual altimetry stations for measuring sea level along the world coastlines. SEANOE. https://doi.org/10.17882/74354\r\n\r\nIn addition, it would be appreciated that the following work(s) be cited too, when using this dataset in a publication :\r\n\r\n- Cazenave Anny, Gouzenes Yvan, Birol Florence, Leger Fabien, Passaro Marcello, Calafat Francisco M., Shaw Andrew, Nino Fernando, Legeais Jean François, Oelsmann Julius, Restano Marco, Benveniste Jérôme (2022). Sea level along the world’s coastlines can be measured by a network of virtual altimetry stations. Communications Earth & Environment, 3 (1). https://doi.org/10.1038/s43247-022-00448-z\r\n\r\n- Benveniste Jérôme, Birol Florence, Calafat Francisco, Cazenave Anny, Dieng Habib, Gouzenes Yvan, Legeais Jean François, Léger Fabien, Niño Fernando, Passaro Marcello, Schwatke Christian, Shaw Andrew (2020). Coastal sea level anomalies and associated trends from Jason satellite altimetry over 2002–2018. Scientific Data, 7 (1). https://doi.org/10.1038/s41597-020-00694-w", "keywords": "ESA CCI, SLA", "publicationState": "published", "dataPublishedTime": "2025-12-17T15:13:46", "doiPublishedTime": null, "updateFrequency": "", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45181/?format=api", "dataPath": "/neodc/esacci/sea_level/data/XTRACK_ALES_SLA/Trends_SelectedSites/v3.0/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 583939728, "numberOfFiles": 1547, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12857/?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/50415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/66830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92564/?format=api" ], "dataLineage": "The product has been developed within the sea level project of the extension phase of the European Space Agency (ESA) Climate Change Initiative. The data has been archived on https://www.seanoe.org with a doi of https://doi.org/10.17882/74354#122284. 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Crowd-Grid uses crowdsourced observations from WOW (the UK Met Office Weather Observation Website) and other sources to give a more detailed view of the temperatures people experience, including in built-up areas.\r\n\r\nThis dataset differs from and complements the \"standard\" gridded dataset, HadUK-Grid, the Met Office’s official climate record. HadUK-Grid uses the Met Office's network of calibrated instruments to give the UK's official record of temperature and is typically representative of grassy fields and parks. Crowd-Grid adds crowdsourced observations to give a more detailed view of the temperatures people experience, including in built-up areas.\r\n\r\nFor further details on the dataset and its interpretation, refer to the provided README (doi:10.5281/zenodo.17787357).", "keywords": "Met Office,Land Surface,Climate Observations,MIDAS,WOW,UK,Meteorology,Temperature,Daily,Diurnal", "publicationState": "citable", "dataPublishedTime": "2025-12-18T16:06:00", "doiPublishedTime": "2025-12-18T16:12:25.498563", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45192/?format=api", "dataPath": "/badc/crowd-grid/data/crowd-grid/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 92207827980, "numberOfFiles": 8767, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12847/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4958/?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/11484/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11485/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/11486/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/51189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92677/?format=api" ], "dataLineage": "Data provided by the UK Met Office for archiving in the Centre for Environmental Data Analysis (CEDA) archives.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13681/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/45179/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216219/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216220/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216284/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/45213/?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": 45180, "uuid": "36866f469420456bb3f2bb4933bfebcb", "title": "cci precursors", "abstract": "Should describe the dataset in plain language for a non-expert user (first year undergraduate level)\r\n First few sentences should summarise the contents of the resource\r\n Specialist terms should be explained in full\r\n Acronyms and abbreviations must be explained i.e. Full Name (ACRONYM)\r\n Should describe the dataset in question, NOT the project/activity which produced it.\r\n\r\nSome details of the activities which produced the resource may be pertinent, in which case they should be included. To help organise thinking, it is recommended that the author may like to use the following structure for the summary:\r\n\r\n What - A description of what has been recorded and what form the data takes.\r\n Where - A description of the spatial extent. 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A Recent Heat Pack is a set of .csv files and a factsheet that provide information on temperatures and climate metrics from recent years (2013-2024). Created for each UK local authority, they are designed to equip users to fit extreme events into the context of recent climate. The Recent Heat Packs may be downloaded and used to understand how climate varies locally, to support decisions on climate adaptation\r\n\r\nCrowd-Grid is a new dataset of daily maximum/minimum temperatures grids spanning the period 01/01/2013 to 31/12/2024 at 1km resolution for the UK. Crowd-Grid uses crowdsourced observations from WOW and other sources to give a more detailed view of the temperatures people experience, including in built-up areas. It differs from and complements the standard dataset, HadUK-Grid - the Met Office’s official climate record.\r\n\r\nA set of Recent Heat Packs have been developed that provide for each of the 393 UK local authorities:\r\n–\ta 2-page Recent Heat Factsheet, which complements the 9-page Climate Report in the Met Office's Local Authority Climate Service (LACS)\r\n–\tthree .csv files that provide the underlying data for the local authority and its constituent census areas: MSOAs (Middle Layer Super Output Areas) in England and Wales, Intermediate Zones in Scotland, and District Electoral Areas in Northern Ireland\r\n\r\nFor further details on the dataset and its interpretation, refer to the README (doi:10.5281/zenodo.17787357).", "keywords": "Met Office,Land Surface,Climate Observations,WOW,MIDAS,UK,Meteorology,Temperature,Daily,Diurnal,Heat, urban", "publicationState": "citable", "dataPublishedTime": "2025-12-18T16:06:11", "doiPublishedTime": "2025-12-18T16:13:06", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45193/?format=api", "dataPath": "/badc/crowd-grid/data/recent-heat-packs/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3536271717, "numberOfFiles": 1584, "fileFormat": "Data are csv formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12859/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4963/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92693/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92695/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92699/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92701/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92702/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92703/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92705/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92706/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92708/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92712/?format=api" ], "dataLineage": "Data provided by the UK Met Office for archiving in the Centre for Environmental Data Analysis (CEDA) archives.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13682/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/45179/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216237/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216238/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216239/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216240/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216286/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/45212/?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": 45184, "uuid": "2f1d9204781e471cb76c2c4fdf3a0383", "title": "European Atlantic Wave Data under Historical and Future Climate Scenarios (EAWAVES-CLIM)", "abstract": "This dataset provides 3-hourly ocean wave data for the European Atlantic domain spanning three 30-year periods: a historical simulation (1985–2014) and future projections (2030–2059) under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5). It includes directional wave spectral data at 1,031 fixed offshore locations along the Atlantic coast of Europe, as well as gridded wave parameters covering the full North Atlantic simulation domain.\r\n\r\nThe wave data were generated using the Simulating WAves Nearshore (SWAN) model, forced with high-resolution winds obtained through dynamical downscaling of global climate models using the Weather Research and Forecasting (WRF) model, and open boundary conditions derived from WaveWatch III simulations.\r\n\r\nThe spectral component consists of NetCDF-4 files describing wave energy distribution across 25 frequency bands and 36 directions at offshore locations spaced approximately 10 km alongshore and 50 km from the coast.", "keywords": "Wave spectra,SWAN,Climate change scenarios,Atlantic Ocean,Downscaling,CMIP6,Ocean wave climatology", "publicationState": "citable", "dataPublishedTime": "2026-01-06T09:04:10", "doiPublishedTime": "2026-01-21T10:50:44.025925", "updateFrequency": "notPlanned", "status": "ongoing", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45214/?format=api", "dataPath": "/badc/deposited2026/EAWAVES-CLIM/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 614858463312, "numberOfFiles": 32965, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12884/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4964/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/62353/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92714/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92715/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92717/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92718/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92719/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92720/?format=api" ], "dataLineage": "This dataset was generated using a multi-stage modeling workflow. First, atmospheric variables from multiple CMIP6 climate models were bias-corrected and dynamically downscaled using the WRF model to produce high-resolution wind fields. These winds were then used to drive WaveWatch III simulations across the North Atlantic to provide offshore boundary conditions. Finally, the SWAN wave model was run at high resolution along the European Atlantic coast using WRF winds and WaveWatch III boundaries to compute detailed 3-hourly wave spectra at 1,031 offshore points. The entire workflow was repeated for three periods: historical (1985–2014) and future scenarios SSP2-4.5 and SSP5-8.5 (2030–2059). The output files were processed, verified, and stored in NetCDF-4 format following CF conventions before being transferred to the CEDA data centre.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13694/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/44508/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216405/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216242/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216243/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216244/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216245/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216246/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216264/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216241/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216266/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216268/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216269/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/40029/?format=api", "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 45190, "uuid": "d8d9bf82d2764f75b5177dadfdfbc258", "title": "Ocean bottom node wide-angle seismic data at the Semenov-1 Hydrothermal Site region of the Mid-Atlantic Ridge during the RRS James Cook cruise JC254 (November 2023)", "abstract": "The dataset contains wide-angle seismic data from 6 ocean bottom nodes (OBX-90, GEOSPACE) collected during RRS James Cook cruise JC254 in November 2023. The data were acquired at the Semenov-1 Hydrothermal Field region of the Mid-Atlantic Ridge at 13°30'N, and were shot in two sequences (SEM1 and SEM1B). Two GI-guns were used as seismic sources, each with a total volume of 210 cubic inches (105 cu. inch generator, 105 cu. inch injector chamber). The data were recorded at a sampling rate of 2000 Hz (500 µs), with a shot interval of 8 s at a ship speed of 5 knots, resulting in shot interval of ~20.5 m. The data are provided in raw SEGY format, cut into four components (three geophone channels and one hydrophone channel). The SEGY file has a trace length of 10s and 20000 samples. This dataset was collected with an aim to derive a seismic velocity structure of the SEM-1 seafloor massive sulphide deposit region. The aim was to understand the interplay between tectonic faulting, magmatism, and hydrothermal circulation at the ultramafic-hosted hydrothermal systems along slow-spreading ridges. The data were collected as part of a NERC-funded strategic research project called 'Ultramafic-hosted mineral Resource Assessment (ULTRA)', grant reference NE/S004068/1. The data were processed and interpreted as part of a PhD studentship hosted by the University of Southampton, awarded to Szu-Ying Lai, and funded by Equinor A.S, Norway.", "keywords": "", "publicationState": "citable", "dataPublishedTime": "2025-12-11T09:01:10", "doiPublishedTime": "2025-12-11T09:01:10", "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45191/?format=api", "dataPath": "/bodc/deposits02/uso251016", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2477414039, "numberOfFiles": 51, "fileFormat": ".segy; .jpg; .txt" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12877/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4965/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13668/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216277/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216270/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216271/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216272/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216274/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216275/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216276/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216273/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216282/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45194, "uuid": "29f0e5b36f314381958c26a4cf73ced5", "title": "GLODAP-2-2016b", "abstract": "Mapped climatology (GLODAPv2.2016b) of ocean biogeochemical variables based on the GLODAP version 2 data product which covers all ocean basins over the years 1972 to 2013. The quality-controlled and internally consistent GLODAPv2 was used to create global 1° × 1° mapped climatologies of salinity and temperature using the Data-Interpolating Variational Analysis (DIVA) mapping method. Improving on maps based on an earlier but similar dataset, GLODAPv1.1, this climatology also covers the Arctic Ocean. Climatologies were created for 33 standard depth surfaces. Values are thetao (temperature) and so (salinity).", "keywords": "obs4MIPs,obs4REF,thetao,so,GLODAP,climatology", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12880/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4966/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Original dataset prepared by University of Bergen and Bjerknes Centre for Climate Research, hosted by NOAA-NCEI as monthly, daily datasets. Monthly datasets for temperature and salinity, reprocessed to change reference in all variables to 'depth_surface' to 'depth'. Data then CMORised locally with a modified Omon.json table so that 'thetao' and 'so' have dimensions 'olevel latitude longitude'. CMOR script manually added below surface levels and bounds. See: https://github.com/PCMDI/obs4MIPs-cmor-tables/tree/master/inputs/CMIP-IPO/NOAA-NCEI", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216292/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216298/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45196, "uuid": "ae24a127728941bdbb10d04ecd8fbfff", "title": "Model output containing ocean, atmospheric and sea ice variables from the zstar_Smag simulation of the HadGEM3-GC5-LM coupled climate model (1976-2035).", "abstract": "This dataset contains monthly means of ocean, atmospheric and sea ice variables from a 60-year (1976-2035) integration of the HadGEM3-GC5-LM coupled model, with fixed year 2000 control atmospheric composition. The archived model output includes monthly means from the NEMO v4.0.4 ocean component on T, U, V and W grids; monthly means from the SI3 sea ice model; and monthly means from the GAL9 atmosphere-land model. In addition, five-day means of the temperature and salinity (\"T grid\") and of the meridional velocity (\"V grid\") over a ten-year period are provided: these were used to estimate the total diapycnal mixing. In this simulation the fixed biharmonic viscosity is replaced with biharmonic Smagorinsky viscosity with a coefficient CMSmag=3; it is referred to as “zstar_Smag\". The outputs were generated under the Marine LTSS: Climate Linked Atlantic Sector Science (CLASS) project funded by the Natural Environment Research Council (NERC) under reference NE/R015953/1.", "keywords": "climatologyMeteorologyAtmosphere, oceans, geoscientificInformation", "publicationState": "citable", "dataPublishedTime": "2025-11-07T00:00:00", "doiPublishedTime": "2025-11-07T00:00:00", "updateFrequency": "", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45195/?format=api", "dataPath": "/bodc/soc251004", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3257905640636, "numberOfFiles": 4740, "fileFormat": null }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12881/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/1/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/27690/?format=api", 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The fields are produced by assimilating retrieved atmospheric quantities using the Analysis Correction (AC) scheme in the UK spectral version (Oxford University and The Open University) of the Mars Planetary Climate Model (Mars-PCM), which is maintained by the Laboratoire de Météorologie Dynamique at Sorbonne Université in Paris, France. \r\n\r\nObservations are taken from the Mars Global Surveyor/Thermal Emission Spectrometer (MGS/TES), the Mars Odyssey/Thermal Emission Imaging System (ODY/THEMIS), and the Mars Reconnaissance Orbiter/Mars Climate Sounder (MRO/MCS) instruments. Assimilated MGS/TES retrievals include nadir thermal profiles below approximately 40 km altitude and column dust optical depth values. Assimilated ODY/THEMIS retrievals include column dust optical depth values. Assimilated MRO/MCS retrievals include limb thermal profiles and dust extinction profiles below approximately 80 km altitude, as well as estimates of column dust optical depth values.\r\n\r\nThe dataset covers 12 Martian years (MY), from MY 24 through MY 35 (i.e. from July 1998 through February 2021). Each file contains 30 sols, and each sol contains variables at 12 times. TES, THEMIS, and MCS retrievals are assimilated separately, with no overlap. Several 30-sol periods at the beginning of MY 24 contain no available observations; in these cases the model is run with no assimilation (free run).\r\n\r\nThe file name and the \"assimilation_run_type\" global attribute indicate which observing system is assimilated in each file: MGS/TES, ODY/THEMIS, MRO/MCS, MRO/MCS_nodust (only thermal profiles, no dust extinction profiles nor column dust optical depth values), MRO/MCS_nodustprof (only thermal profiles and column dust optical depth values, no dust extinction profiles), or free-run (i.e. no assimilated observations because retrievals are not available).", "keywords": "Mars, Martian, MGCM, dust, dust and temperature assimilation", "publicationState": "citable", "dataPublishedTime": "2026-01-30T09:22:14", "doiPublishedTime": "2026-01-30T13:55:11.727434", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45228/?format=api", "dataPath": "/badc/mgs/data/macda/v2-0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 216084277205, "numberOfFiles": 269, "fileFormat": "Data are NetCDF formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12889/?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/50559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/50561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/60438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92747/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92758/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92760/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92761/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92762/?format=api" ], "dataLineage": "The atmospheric and surface data included in this dataset are produced by assimilating retrieved atmospheric quantities using the Analysis Correction (AC) scheme in the UK spectral version (Oxford University and The Open University) of the Mars Planetary Climate Model (Mars-PCM), which is maintained by the Laboratoire de Météorologie Dynamique at Sorbonne Université in Paris, France. The model version used is labelled Mars_PCM-UK-spectral_v5.2. This dataset represents version 2 of the MACDA project and assimilates retrievals from observations by the Mars Global Surveyor/Thermal Emission Spectrometer (MGS/TES), the Mars Odyssey/Thermal Emission Imaging System (ODY/THEMIS), and the Mars Reconnaissance Orbiter/Mars Climate Sounder (MRO/MCS) instruments. TES column dust optical depth retrievals are version 2023 (http://doi.org/10.17189/kwez-jq47) and MCS retrievals are version 5.2.\r\n\r\n\r\nData produced by the project team were then supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13696/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11610/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/11018/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216445/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/45235/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ] }, { "ob_id": 45242, "uuid": "068e93260cdc46e1982d0e18e6ae8225", "title": "Drone-based orthophotomaps (ORTHO) and digital surface models (DSM) at Central Kalimantan (2022)", "abstract": "The product consists of orthophotos and digital surface models (DSMs) generated from RGB drone imagery. These datasets were acquired in 2022 by the University of Palangka Raya and cover 14 designated test areas. The primary purpose of these geospatial products is to support the description and analysis of peatland eco-hydrological variables. The orthophotos provide high-resolution (10 cm), georeferenced imagery for detailed land surface observation, while the DSMs (25 cm) offer elevation information essential for understanding surface characteristics and hydrological dynamics within peatland ecosystems.", "keywords": "UAV,drone,remote sensing,DSM,ortho,Central Kalimantan,tropical peatlands", "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12891/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4974/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/41469/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216468/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216475/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/45243/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45247, "uuid": "90eafa3b5e4043ff823c130323757631", "title": "High-Resolution Airborne Light Detection and Ranging (LiDAR) Scans of the Bristol Channel and Severn Estuary, UK (April - June 2023).", "abstract": "This dataset contains high-resolution water surface elevation (WSE) measurements from five airborne LiDAR surveys of an estuarine system conducted between April and June 2023. The surveys were strategically timed to coincide with Surface Water and Ocean Topography (SWOT) satellite overpasses and captured a comprehensive range of tidal conditions, spanning from - 5.1 m to + 5.4 m relative to the EGM2008 geoid during both flood and ebb tides. Two Leica LiDAR systems were deployed: the Hyperon system for three longitudinal flights (May 16, June 24, June 29) covering 55 km along the estuary axis, and the T500 system for two cross-estuary flights (April 7, 25) spanning 35 km perpendicular to the main channel. Each survey was flown at approximately 3 km altitude with a ~ 1 km swath width, achieving point densities of 4 - 10 points/m² and WSE accuracy of ~ 0.1 m resolution. Flight durations were up to 20 minutes per survey. These measurements provide critical validation and calibration data for satellite-based WSE observations in tidally influenced coastal environments, supporting improved understanding of estuarine hydrodynamics and remote sensing validation efforts. This dataset was collected under the Surface Water and Ocean Topography (SWOT) mission (https://noc.ac.uk/projects/swot-uk) and was funded by the UK Natural Environment Research Council and the UK Space Agency (NE/V009168/1).", "keywords": "elevation, oceans", "publicationState": "citable", "dataPublishedTime": "2026-01-14T00:00:00", "doiPublishedTime": "2026-01-14T00:00:00", "updateFrequency": "", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45246/?format=api", "dataPath": "/bodc/bgo251010", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 824, "numberOfFiles": 1, "fileFormat": null }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12904/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4987/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "The data are archived on the British Oceanographic Data Centre (BODC)'s space at the Centre for Environmental Data Analysis (CEDA) and assigned a DOI. No quality control procedures were applied by BODC.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13691/?format=api" ], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216488/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216493/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216494/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216495/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216490/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216492/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216489/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216487/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216491/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216496/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216497/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216498/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45251, "uuid": "c4e5b5939c3240fb823896cefadbfe75", "title": "Nitrous oxide and carbon monoxide measurements from Ho Chi Minh City, Vietnam 2018-2019", "abstract": "Continuous in situ mole fractions measurements of nitrous oxide and carbon monoxide from instruments located on the roof of an 11-storey building (∼40m) at the Vietnam National University HCMC, University of Science campus in Ho Chi Minh City, Vietnam (10.7625°N, 106.6823°E). These measurements were taken between October 2018 to March 2019 as part of the Two City study of Air Quality in Vietnam project NE/P014771/1.", "keywords": "nitrous oxide,carbon monoxide,vietnam", "publicationState": "citable", "dataPublishedTime": "2026-01-30T09:35:23", "doiPublishedTime": "2026-02-03T10:46:49", "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45259/?format=api", "dataPath": "/badc/deposited2026/Vietnam_Two_Cities/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2035001, "numberOfFiles": 2, "fileFormat": "BADC-CSV" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12908/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4991/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92766/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92767/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92768/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92770/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92774/?format=api" ], "dataLineage": "This data resources were collected by the project team - the NERC funded project enitited \"A Two City study of Air Quality in Vietnam\" - before archival at CEDA", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13707/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/45252/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216532/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216516/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216517/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/45253/?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": 45255, "uuid": "cd7340f09faf4506be34056fafdee0a9", "title": "upload_glocaem", "abstract": "Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1.\r\n\r\nThis dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at Thrace Xanthi.", "keywords": "GloCAEM,GEC,electric potential,PG,electric field", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12909/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4990/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "OK", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/20068/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216523/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216524/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216525/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216526/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216527/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216528/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216529/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216530/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/45256/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45268, "uuid": "3bea1a0780614371bc07cfb490795f7c", "title": "ACOLITE-processed Sentinel-2 MSI ocean colour products for seagrass carbon stock modelling", "abstract": "This dataset contains water quality products derived from Sentinel-2 MSI over seagrass sites in northern temperate coastal regions. For each seagrass site, a 20 × 20 km area was extracted, and all available Sentinel-2 observations from June 2015 to June 2022 were processed. The subsets of the scenes are provided as individual NetCDFs. The dataset includes the following variables: Chlorophyll a concentration (OC3 and red edge algorithm, Gons et al. 2002), Turbidity (Nechad et al. 2009), Suspended matter concentration (Nechad et al. 2010 ) and Secchi depth (ACOLITE QAA-pq3aa). These variables were used as inputs for machine-learning models described in Wilson et al. (2025, doi: https://doi.org/10.3389/fmars.2025.1714518) Due to high intercorrelation, only turbidity was retained in the final model.", "keywords": "Sentinel-2 MSI,ACOLITE,turbidity,seagrass", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12912/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4994/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Level 1C Sentinel-2 scenes were downloaded from the Google Earth Engine Catalogue collection. Atmospheric correction was undertaken with ACOLITE using default settings. Processing was undertaken on MAGEO (Massive GPU cluster for Earth Observation) by the NERC Earth Observation Data Analysis and AI Service (NEODAAS) and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). \r\n\r\nNote the data provided are not full Sentinel-2 scenes, but subsets extracted around the study sites. These subsets typically cover a 20 × 20 km box centered on each sample location. Where multiple sites fall within the same Sentinel-2 tile, the subset area was expanded to include all site locations within that tile.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216546/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216550/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216551/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216558/?format=api" ], "procedureAcquisition": "https://api.catalogue.ceda.ac.uk/api/v2/acquisitions/45269/?format=api", "procedureCompositeProcess": null, "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45282, "uuid": "baeb32fd74cb49a1b67a6a4164ff0899", "title": "ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track significant wave height from altimetry, L2P product, version 4", "abstract": "The ESA Sea State Climate Change Initiative (CCI) project has produced global multi-sensor time-series of along-track satellite altimeter significant wave height data (referred to as Level 2P (L2P) data) with a particular focus for use in climate studies.\r\n\r\nThis dataset contains the Version 4 Remote Sensing Significant Wave Height product, which provides along-track data at approximately 6 km spatial resolution, separated per satellite and pass, including all measurements with flags, corrections and extra parameters from other sources. These are expert products with rich content and no data loss. \r\n\r\nThe altimeter data used in the Sea State CCI dataset v3 come from multiple satellite missions spanning from 2002 to 2022021 (Envisat, CryoSat-2, Jason-1, Jason-2, Jason-3, SARAL, Sentinel-3A), therefore spanning over a shorter time range than version 1.1. Unlike version 1.1, this version 3 involved a complete and consistent retracking of all the included altimeters. 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Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-NAE126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over North America and Europe are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. North America and Europe are the regions bounded by 20W, 45E, 35N, and 70N, and 150W, 45W, 25N and 70N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Global aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-EAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nCanESM5-1: The Canadian Earth System Model version 5.1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-EAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over East Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. East Asia is the region bounded by 95 and 133E and 20 and 53N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nMIROC6: The sixth version of the Model for Interdisciplinary Research on Climate (MIROC), called MIROC6, was cooperatively developed by a Japanese modeling community.\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": "aerosol, extremes, near-term projections, RAMIP", "publicationState": "published", "dataPublishedTime": "2026-02-19T09:23:20", "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "completed", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45338/?format=api", "dataPath": "/badc/cmip6/data/CMIP6Plus/RAMIP/MIROC/MIROC6/piClim-370-eas126aer", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 70214454362, "numberOfFiles": 90, "fileFormat": "NetCDF" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12682/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/4679/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/6021/?format=api", 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Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-SAS126ca coupled transient experiment runs from January 2015 to at least February 2051. Carbonaceous aerosol emissions (black carbon and organic carbon) over South Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. 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"https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82138/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82139/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/82152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/92713/?format=api" ], "dataLineage": "The coupled transient simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. \r\n\r\nThe data were post-processed after CMORization to follow CMIP6Plus naming conventions.", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/44087/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216888/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43454/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45347, "uuid": "a7ecbc4a59b94e74bd64e9296ad1d8c2", "title": "SSP370-ASIA126aer data produced by the MIROC6 model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the SSP370-ASIA126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using MIROC6. It contains NetCDF output from coupled transient simulations with global aerosol reductions. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe SSP370-ASIA126aer coupled transient experiment from January 2015 to at least February 2051. Aerosol and precursor emissions (sulphur dioxide, black carbon and organic carbon) over Asia are taken from SSP1-2.6, while all other anthropogenic emissions and land use follow SSP3-7.0. Asia is comprised of East Asia (the region bounded by 95 and 133E and 20 and 53N) and South Asia (the region bounded by 65 and 95E and 5 and 35N). \r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. 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The data were post-processed after CMORization to follow CMIP6Plus", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13711/?format=api" ], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/43444/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216975/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216979/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/216983/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": null, "procedureComputation": "https://api.catalogue.ceda.ac.uk/api/v2/computations/43456/?format=api", "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45362, "uuid": "7658d617e0e54f1cbb5747510465e8df", "title": "piClim-370-SAS126aer data produced by the UKESM1-0-LL model for the Regional Aerosol Model Intercomparison Project (RAMIP)", "abstract": "This record contains data for the piClim-370-SAS126aer experiment simulations from the Regional Aerosol Model Intercomparison Project (RAMIP), produced using UKESM1-0-LL. It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-SAS126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over South Asia are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. South Asia is the region bounded by 65 and 95E and 5 and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": 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It contains NetCDF output for a set of experiments with anthropogenic emissions for the year 2050 and fixed, pre-industrial, sea surface temperatures, sea ice extent, and land use. For a full description of the experiments, see: https://gmd.copernicus.org/articles/16/4451/2023/.\r\n\r\nThe piClim-370-AFR126aer experiment is a fixed sea surface temperature (SST) experiment with 1850 SSTs and sea ice concentrations, following the RFMIP piClim experiment designs. Aerosol and precursor emissions (SO2, black carbon and organic carbon) over Africa and the Middle East are taken from year 2050 of SSP1-2.6, while all other anthropogenic emissions and land use are taken from SSP3-7.0 At least 30 years are requested. Africa and the Middle East is the region bounded by 20W, 60E, 35S, and 35N.\r\n\r\nThe simulations are initialised from the CMIP6 historical experiment. Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nAcronyms\r\n------------\r\nUKESM1: the United Kingdom Earth System Model UKESM1\r\nSSP1-2.6: experiment based on Shared Socioeconomic Pathway SSP1 with low climate change mitigation and adaptation challenges and RCP2.6, a future pathway with a radiative forcing of 2.6 W/m2 in the year 2100.\r\nSSP3-7.0: experiment based on Shared Socioeconomic Pathway SSP3 which is characterised by high challenges to both mitigation and adaptation and RCP7.0, a future pathway with a radiative forcing of 7.0 W/m2 in the year 2100.\r\nScenarioMIP: the Scenario Model Intercomparison Project simulates climate outcomes based on alternative plausible future scenarios.\r\nCMIP6: is the sixth phase of the Coupled Model Intercomparison Project, a global collaboration of climate modellers.\r\nRFMIP: The Radiative Forcing Model Intercomparison Project.", "keywords": 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Anthropogenic emissions designed for the ScenarioMIP experiments SSP3-7.0 and SSP1-2.6 are used. All experiments follow SSP3-7.0, with perturbations to regional aerosol and precursor emissions using SSP1-2.6 emissions, following the RAMIP protocol. Data are provided for a subset of CMIP6 variables, following their CMIP6 definitions. Some 3D variables are produced at reduced vertical resolution compared to CMIP6. These are identified with new variable names, as set out in the RAMIP data request: https://gmd.copernicus.org/articles/16/4451/2023/\r\n\r\nFixed sea surface temperature (piClim) simulations are copies of the piClim-aer experiment performed for RFMIP (for CMIP6), but with RAMIP emissions for 2050. 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Change Initiative (Precursors_cci): Precursors morning GOME-2 NO2 L3 data products version 1", "abstract": "Abstract for precursors morning GOME-2 NO2 L3 data products v1.\r\n\r\nAdditional information to be added.", "keywords": "", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "planned", "result_field": null, "timePeriod": null, "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/529/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/45366/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217075/?format=api", 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However, across large regions of distributed continental deformation, such as the Alpine-Himalayan Belt, data are only sparsely available. While previous studies have mainly used spatially sparse GNSS to measure deformation at such large scales, these approaches cannot characterize shorter wavelength features of deformation in many places.\r\nWe use Sentinel-1 radar images acquired during 2016-2024 to provide trans-national average surface velocities and time series at 1 km spatial resolution stretching a distance of over 11,000 km from south-western Europe to eastern China, covering an area more than 20 million square kilometres. We produce the velocity field by combining data from over 222,000 Sentinel-1 SAR images with a new belt-wide compilation of GNSS velocities, all combined in a consistent Eurasian reference frame.\r\nHorizontal strain rates are derived from gradients of the velocity field, yielding near-continuous spatial deformation information over the entirety of the largest deforming region on the planet. The horizontal velocities and strains are dominated by tectonic deformation, which has a bimodal behaviour – focused on major faults but distributed elsewhere. Shorter-wavelength vertical velocities are dominated by non-tectonic processes, in particular the widespread over-exploitation of groundwater. Our new velocity and strain rates are foundational data sets that reveal the details of how the continents deform for the first time at transcontinental scale.", "keywords": "Radar remote sensing, GNSS, Sentinel-1, InSAR, Active Tectonics, Continental Deformation, Faulting, Strain, Seismic Hazard, Earthquakes", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "", "status": "pending", "result_field": null, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12958/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/5027/?format=api", "nonGeographicFlag": false, "phenomena": [], "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).\r\n\r\nFunded by: NERC through the Looking into the Continents from Space (LiCS) large Grant (NE/K010867/1)\r\nRoyal Society for their support through a University Research Fellowship (URF/R/211006 & UF150282) and grant (RF/ERE/210143)", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/11687/?format=api" ], "observationcollection_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217108/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217110/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217112/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217125/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217121/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217122/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217123/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217124/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/45380/?format=api", "procedureComputation": null, "permissions": [], "discoveryKeywords": [] }, { "ob_id": 45381, "uuid": "31819552d6764b58871507bc20f6b198", "title": "Daily Mean, Minimum and Maximum Central England Temperature (HadCET) series v2.1.1.0", "abstract": "The Central England Temperature (HadCET) daily series start in 1772 for mean temperature and 1878 for minimum and maximum temperature.\r\n \r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nPrior to 1973, the daily mean temperature series is anchored to the mean temperature series constructed by Gordon Manley, with the daily minimum and maximum temperature series adjusted to the mean temperature series to ensure values are consistent.\r\n \r\nAlthough the station selection has changed through time, the series is homogenised and adjusted to ensure consistency with Manley's selection and for periods when only a single station value was used.\r\n \r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n \r\nFor more information on the change in station selection, please refer to the papers supplied with the data collection.\r\n \r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version.", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45385/?format=api", "dataPath": "/badc/ukmo-cet/data/v2.1.1.0/daily/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3122154, "numberOfFiles": 4, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12962/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76040/?format=api" ], "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. This is a finalised version of the dataset that has been delivered by the Met Office Hadley Centre for long-term archiving at the NERC EDS Centre for Environmental Data Analysis (CEDA).", "removedDataTime": null, "removedDataReason": "", "language": "English", "identifier_set": [], "projects": [ "https://api.catalogue.ceda.ac.uk/api/v2/projects/13164/?format=api" ], "observationcollection_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/43588/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217143/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217144/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/217150/?format=api" ], "procedureAcquisition": null, "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/43874/?format=api", "procedureComputation": null, "permissions": [ { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api", "useLimitation": null, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": "any" } ], "discoveryKeywords": [] }, { "ob_id": 45382, "uuid": "f157c171195f41b390a9795bd7323299", "title": "Mean, Minimum and Maximum Central England Temperature (HadCET) series post 1973 static adjustments, v2.1.1.0", "abstract": "The Central England Temperature (HadCET) daily mean series is anchored to Gordon Manley’s original temperature record prior to 1973. Between 1848 and 1878, adjustments are applied to account for periods when only a single station was in use.\r\n\r\nThese historical temperature series are representative of the Midlands region in England, UK (a roughly triangular area of the United Kingdom enclosed by Bristol, Lancashire and London).\r\n \r\nFrom 1973 onwards, multiple adjustments ensure continuity with Manley’s series, homogenise the current station selection with Manley’s original dataset, and correct for the effects of increasing urbanisation.\r\n \r\nThese static adjustments are calculated on a monthly basis and are applied uniformly to all daily values within each month from 1973 to the present. \r\n \r\nUrbanisation adjustments remain static from November 2004 onward, while adjustments between 1974 and October 2004 are graded to reflect a progressive increase in urbanisation effects over time.\r\n \r\nThis dataset contains the post-Manley extended adjustments, station homogenisation adjustments, and static urban corrections.\r\n\r\nStations used in the construction of the CET daily series between 1772 and 1852 include: Kennington, Crane Court, Lyndon Hall, Syon House, Somerset House, Greenwich Observatory, Chiswick\r\n \r\nStations used in the construction of the CET daily series from 1853 onwards include: Radcliffe (Oxford), Cambridge (legacy), Ross-on-Wye, Rothamsted, Malvern, Stonyhurst, Ringway, Squires Gate, Pershore College\r\n \r\nThe current station selection used is Rothamsted, Stonyhurst and Pershore College.\r\n\r\nThe dataset is compiled by the Met Office Hadley Centre.\r\n\r\nLatest provisional release data are available via the Hadley Centre Observations website (https://www.metoffice.gov.uk/hadobs/hadcet/data/download.html).\r\n\r\nThe version controlled CET series is updated annually (February-March), with the previous complete year’s values refreshed to ensure that data acquisition and quality control procedures have been completed and ensure the most accurate station temperature values are used. Each version of the dataset will include data up until the end of the previous complete year and an incremental version number will be updated.\r\n\r\nThe CET datasets employ the following version control protocol: \r\n\r\nVersion Vx.y.z.a:\r\n• x – major changes – e.g. change in scientific methodology\r\n• y – minor changes – e.g. small bug fixes or updates to diagnostics pages\r\n• z – incremental changes\r\n• a – reserved for use internally\r\n\r\nThe standard annual release cycle of CET will constitute an incremental release (z). However, if more substantial\r\nchanges have been made to the codebase, scientific methodology or source data values, then this may warrant a minor (y) or major (x) version release. (Note, these are applied to a cohort of datasets together - i.e. apply to the seasonal, monthly, daily and adjustment datasets as a coordinated version release).\r\n\r\nThis new version of the datasets supersedes the previous version.", "keywords": "HadCET, temperature, Hadley, Met Office", "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "updateFrequency": "notPlanned", "status": "final", "result_field": { "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/45387/?format=api", "dataPath": "/badc/ukmo-cet/data/v2.1.1.0/adjustments/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16065, "numberOfFiles": 8, "fileFormat": "Data are BADC-CSV formatted" }, "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/12963/?format=api", "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/2/?format=api", "nonGeographicFlag": false, "phenomena": [ "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/57649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76380/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76381/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76382/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76383/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76384/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76386/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76387/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76389/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76390/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/phenomona/76391/?format=api" ], "dataLineage": "The HadCET dataset is produced by the Met Office Hadley Centre and frequently updated on the Hadley Centre observations datasets webpage. 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