Observation Collection List
Get a list of Collections objects. Collections have a 1:1 mapping with Observations.
### Available end points:
- `/observationcollections/` - Will list all Collections in the database
- `/observationcollections.json` - Will return all Collections in json format
- `/observationcollections/<object_id>/` - Returns Collections object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `uuid`
- `title`
- `keywords`
- `discoveryKeywords`
- `publicationState`
### How to use filters:
- `/observationcollections/?uuid=ab4ca8d019d148f78afba1cd20872bdd`
- `/observationcollections.json?publicationState=citable`
GET /api/v2/observationcollections/?format=api&offset=800
{ "count": 947, "next": "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/?format=api&limit=100&offset=900", "previous": "https://api.catalogue.ceda.ac.uk/api/v2/observationcollections/?format=api&limit=100&offset=700", "results": [ { "ob_id": 33869, "uuid": "0595a5a21f864ae69a8a333c84ab46c3", "title": "WCRP CMIP6: Max Planck Institute for Meteorology (MPI-M) ICON-ESM-LR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Max Planck Institute for Meteorology (MPI-M) ICON-ESM-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MPI-M, ICON-ESM-LR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/33867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33877/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155288/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155289/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155286/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155292/?format=api" ] }, { "ob_id": 33897, "uuid": "647f082b7818462984cd0a1ad2362191", "title": "WCRP CMIP6: NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-H model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the NASA Goddard Institute for Space Studies (NASA GISS) GISS-E2-2-H model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NASA-GISS, GISS-E2-2-H", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/33895/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33899/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33902/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33905/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/155436/?format=api" ] }, { "ob_id": 34060, "uuid": "ced1bee759d3469791d3419c2c625716", "title": "WCRP CMIP6: Natural Environment Research Council (NERC) HadGEM3-GC31-LL model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Natural Environment Research Council (NERC) HadGEM3-GC31-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NERC, HadGEM3-GC31-LL", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34062/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34065/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34068/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34290/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34293/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34296/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156477/?format=api" ] }, { "ob_id": 34109, "uuid": "1a3bba5cbc7643039678f8736ff46009", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, HiRAM-SIT-HR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34111/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156733/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156734/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156735/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156738/?format=api" ] }, { "ob_id": 34116, "uuid": "2e05bd280e0d4b4ba85ad134a3f2c9e0", "title": "WCRP CMIP6: Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-LR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Research Center for Environmental Changes (AS-RCEC) HiRAM-SIT-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, AS-RCEC, HiRAM-SIT-LR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34121/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156772/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156773/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156774/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156775/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156771/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156777/?format=api" ] }, { "ob_id": 34126, "uuid": "133382431f1a49e0a178743c39f30996", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-1-1-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Alfred Wegener Institute (AWI) AWI-CM-1-1-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, AWI, AWI-CM-1-1-HR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34124/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156826/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156827/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156828/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156825/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156831/?format=api" ] }, { "ob_id": 34130, "uuid": "2c313be9ae704e8a92577afc2a70c928", "title": "WCRP CMIP6: Alfred Wegener Institute (AWI) AWI-CM-1-1-LR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Alfred Wegener Institute (AWI) AWI-CM-1-1-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, AWI, AWI-CM-1-1-LR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34128/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156850/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156852/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156849/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156855/?format=api" ] }, { "ob_id": 34134, "uuid": "e5b2c9f5065e4701b79d12450b7ba81b", "title": "WCRP CMIP6: Beijing Climate Center (BCC) BCC-CSM2-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Beijing Climate Center (BCC) BCC-CSM2-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, BCC, BCC-CSM2-HR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34139/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156881/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156879/?format=api" ] }, { "ob_id": 34144, "uuid": "28d9ed89cc014aa08d094d0d061685b5", "title": "WCRP CMIP6: Chinese Academy of Sciences (CAS) FGOALS-f3-H model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Chinese Academy of Sciences (CAS) FGOALS-f3-H model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CAS, FGOALS-f3-H", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34142/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34146/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34260/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156928/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156934/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/156933/?format=api" ] }, { "ob_id": 34205, "uuid": "513d58661d8c4d4991ab026debd242bc", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-HR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM1-CAM5-SE-HR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34203/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34210/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158172/?format=api" ] }, { "ob_id": 34215, "uuid": "ca442697b5f5457a80c0c232b4f6733c", "title": "WCRP CMIP6: National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-LR model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the National Center for Atmospheric Research (NCAR) CESM1-CAM5-SE-LR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, NCAR, CESM1-CAM5-SE-LR", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34217/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34220/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158220/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158226/?format=api" ] }, { "ob_id": 34240, "uuid": "963efec14bcb4ee9b39dcd73a38abacd", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-Veg model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3-Veg model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3-Veg", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34238/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158447/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158448/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158449/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/158506/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158538/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158540/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158475/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/158479/?format=api" ] }, { "ob_id": 34565, "uuid": "1a6507dfd2be4d07bf989a67319b196c", "title": "WCRP CMIP6: Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Korea Institute of Ocean Science and Technology (KIOST) KIOST-ESM model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, KIOST, KIOST-ESM", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34573/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34576/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/163999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164005/?format=api" ] }, { "ob_id": 34582, "uuid": "445fd8b172284b6eb7094c7602fb8fcf", "title": "WCRP CMIP6: Chinese Academy of Meteorological Sciences (CAMS) CAMS-CSM1-0 model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Chinese Academy of Meteorological Sciences (CAMS) CAMS-CSM1-0 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, CAMS, CAMS-CSM1-0", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34580/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164096/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164095/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164094/?format=api" ] }, { "ob_id": 34602, "uuid": "4a85c0ef880e4f668cd4ec8e846855ef", "title": "ESA Water Vapour Climate Change Initiative (Water_Vapour_cci): Total Column Water Vapour over land (CDR1), v3.2", "abstract": "This collection of data comprises an updated version of the European Space Agency (ESA) Water Vapour Climate Change Initiative (Water Vapour_cci) Total Column Water Vapour over land, Climate Data Record 1 (TCWV-land (CDR1)). It comprises four datasets providing daily and monthly averages at 0.5 and 0.05 degree resolution respectively.\r\n\r\nThis is an updated version of the previous v3.1 version of the data which corrects an issue with the filtering of the data.", "keywords": "total column, water vapour, cci", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2022-02-21T16:59:08", "doiPublishedTime": "2022-02-22T14:44:44", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/34603/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/34606/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12057/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164170/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164171/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164174/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164175/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164176/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164178/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164179/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164181/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/164183/?format=api" ] }, { "ob_id": 34871, "uuid": "57cfc8b38d914abc8de02b647e879e66", "title": "ESA Land Surface Temperature Climate Change Initiative (LST_cci): Collection 1", "abstract": "This set of data comprises the first collection of land surface temperature datasets released by the ESA Land Surface Temperature Climate Change Initiative (LST_cci). \r\n\r\nData have been derived globally from a range of different satellites instruments.\r\n\r\nThe land surface temperature (LST) CCI project, which is funded by the European Space Agency (ESA) as part of the Agency’s Climate Change Initiative (CCI) Programme, aims to deliver a significant improvement on the capability of current satellite LST data records to meet the challenging Global Climate Observing System (GCOS) requirements for climate applications to realise the full potential of long-term LST data for climate science.\r\n\r\nAccurate knowledge of LST plays a key role in describing the physics of land-surface processes at regional and global scales as they combine information on both the surface-atmosphere interactions and energy fluxes within the Earth Climate System. LST provides a metric of surface state when combined with vegetation parameters and soil moisture and is one of the drivers of vegetation phenology. Furthermore, LST is an independent temperature data set for quantifying climate change complementary to the near-surface air temperature ECV based on in situ measurements and reanalyses.", "keywords": "", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/33362/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33363/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33365/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33367/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33368/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/33370/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169591/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/169590/?format=api" ] }, { "ob_id": 34905, "uuid": "345c47d378b64c75b7957aef0c09c81f", "title": "EUMETNET E-PROFILE: ceilometer cloud base height and aerosol profile data from a network covering most of Europe with additional sites worldwide", "abstract": "Daily concatenated files of ceilometer cloud base height and aerosol profile data from a network of instruments within EUMETNET's E-PROFILE ALC network.\r\n\r\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.\r\n\r\nMost datasets are available to registered CEDA users. For those not available to CEDA users application for access to those datasets under restricted access can be made using the links on one of the associated records. All use is made in accordance with the Closed-Use Non-Commercial General Licence. See datasets for further licencing links and for individual dataset citations.\r\n\r\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.\r\n\r\nNote - the datasets listed on this collection are daily concatenated files produced from single time-step files for each instrument. CEDA holds an older archive of single time-step files (not linked to from the datasets or this collection) which will be aggregated together over time to extend these datasets further back to the start of the E-PROFILE holdings in the CEDA archives. Access to the older single time-step files ahead of their concatenation into daily files can be made via : https://data.ceda.ac.uk/badc/eprofile/data/. As these data are processed single time-step files will be removed from the archive.\r\n\r\nIt is not possible to support any requests for data that predates the CEDA holdings nor to back-fill any data gaps.", "keywords": "ceilometer, aerosol backscatter, cloud base height", "discoveryKeywords": [ 1138 ], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/35640/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/35709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/35786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36534/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/35565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/36795/?format=api", 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The ACAO campaign took place in March 2022 based out of Kiruna in Sweden and included flights C271 to C282 inclusive.\r\n\r\nThe campaign by scientists from the Met Office and Universities of Manchester and Leeds was to make novel in-situ airborne measurements of the evolution of cold-air outbreaks (CAOs), in terms of the meteorology, atmospheric composition and clouds, from the Marginal Ice Zone (MIZ) to Scandinavia.", "keywords": "ACAO, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2022-03-11T16:16:04", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/36910/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37410/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41677/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176594/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176595/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176596/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176597/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176598/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176599/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/203069/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213036/?format=api" ] }, { "ob_id": 36939, "uuid": "2bdf5aee32e04049b312a0cb23338fff", "title": "EUMETSAT: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for EUMETSAT FAAM Aircraft Project.", "keywords": "EUMETSAT, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": "2022-02-22T22:03:20", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/36938/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176712/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176713/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/176714/?format=api" ] }, { "ob_id": 37081, "uuid": "0068c20aca6c43e786e737c9257179a2", "title": "Seismic datasets acquired around an active fluid flow structure: Scanner Pockmark, North Sea as part of the CHIMNEY project", "abstract": "A multi-channel seismic dataset was acquired during RRS James Cook cruise JC152 (August - September 2017), around the Scanner Pockmark Complex in the North Sea. Data were recorded using a number of different seismic sources, comprising: 1) a GI airgun array, used in two different configurations for separate parts of the survey, i) a 420 ci (2 x 105/105 ci) array operated in harmonic mode and fired at 8 s intervals, and ii) a 300 ci (2 x 45/105 ci) array operated in true GI mode and fired at 6 s intervals, both towed at 2 m depth below sea surface; 2) an Applied Acoustic Engineering Squid sparker (1750 or 2000 J), towed at the sea surface and triggered at 2 s intervals, and; 3) a Duraspark sparker (2000 J), towed at the sea surface and triggered at 2 s intervals. Signals produced by the GI airguns and surface sparkers were recorded on two towed multi-channel streamers: a) a 60 channel, 1 m group interval streamer recorded on a Geometrics Strataview R60 recording system, and b), a 120 channel, 1.56 m group interval GeoEel streamer, at sampling rates between 0.125 and 0.5 ms depending on the streamer and source pairing. Data are provided in standard SEG-D format. The data were acquired as part of the 'Characterization of major overburden leakage pathways above sub-seafloor CO2 storage reservoirs in the North Sea' (CHIMNEY) project, funded by the Natural Environment Research Council (NERC) under grant reference NE/N016130/1.", "keywords": "seismic reflection, ocean bottom seismograph, active source seismology, passive source seismology, fluid flow pathways", "discoveryKeywords": [], "publicationState": "citable", "dataPublishedTime": "2022-04-26T16:17:15", "doiPublishedTime": "2022-04-29T10:40:49", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/35039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37066/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37072/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12113/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177250/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177251/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177249/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177248/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177247/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177601/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177581/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177582/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177583/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177584/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/177586/?format=api" ] }, { "ob_id": 37254, "uuid": "475c1b1fbd4c49379336e5a0bd7b77ce", "title": "SLSTR Calibration Data", "abstract": "Ground based calibration data collected by RALSpace SLSTR team for all SLSTR flight instruments.\r\n\r\nTBC ;)", "keywords": "", "discoveryKeywords": [ 1138 ], "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/37252/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37253/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178027/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178028/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178030/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178033/?format=api" ] }, { "ob_id": 37444, "uuid": "2040b17716fd49f2ac8b0b35c773d609", "title": "M-Phase: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for the Resolving climate sensitivity associated with shallow mixed phase cloud in the oceanic mid- to high latitudes FAAM Aircraft Project (M-Phase).\r\n\r\nThe M-Phase campaign took place during September to November 2022 based out Goose Bay, Newfoundland, Canada and included flights C318 to C333 inclusive.", "keywords": "M-Phase, MPhase, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2025-06-18T17:17:01", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39404/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39408/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39412/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39448/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39460/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/178842/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213037/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213038/?format=api" ] }, { "ob_id": 37504, "uuid": "69bbdb1aedcb40fc9ff3e324b693f8b5", "title": "WesCon: in-situ airborne observations by the FAAM BAE-146 aircraft and Jade-one Dimona aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for WesCon: Wessex summertime convection experiment. \r\nMeteorological in-situ data were collected by a range of instruments on board the FAAM BAe-146 aircraft and the Jade-one Dimona aircraft during a series of flights from May to August 2023 over the southern UK.\r\nThese airborne measurements were made to complement groundbased, sonde and radar observations made for the concurrent WesCon - Observing the Evolving Structures of Turbulence (WOEST) project.", "keywords": "WESCON, FAAM, Jade-one, Dimona, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "citable", "dataPublishedTime": "2025-08-01T10:39:36", "doiPublishedTime": "2025-08-01T14:18:15", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/37503/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39392/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40696/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40700/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40704/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40716/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40732/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40736/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41172/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/44085/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13462/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179080/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/211707/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213709/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213710/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213711/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/213712/?format=api" ] }, { "ob_id": 37629, "uuid": "8af5dbda10b747709543113ecb71c44c", "title": "Decadal and multidecadal simulation of the Southwestern Indian Ocean with high frequency surface currents (climatological and realistic forcing, 1993-2020)", "abstract": "This dataset collection comprises two simulations; WINDS-M (Western Indian Ocean Simulation, Multidecadal) and WINDS-C (Western Indian Ocean Simulation, Climatological). Both simulations are high-resolution (1/50 degrees in the horizontal) from 1993-2020 (for WINDS-M) and 1993-2018 (for WINDS-C), using the Coastal and Regional Ocean Community model (CROCO). WINDS-M is forced at the lateral boundaries by daily output from the 1/12degrees CMEMS (Copernicus Marine Environment Monitoring Service) GLORYS12V1 global ocean reanalysis and barotropic tides from TPXO9, at the surface by hourly output from ERA5, and also includes climatological riverine fluxes. WINDS-C is forced at the lateral boundaries by a monthly climatology from the 1/12 degrees CMEMS GLORYS12V1 global ocean reanalysis and barotropic tides from TPXO9, at the surface by a monthly climatology from ERA5, and also includes climatological riverine fluxes. High frequency (0.5h) surface currents are provided for Lagrangian analyses, and other surface fields are provided at a daily frequency for both simulations. The simulations were run using funding through the Doctoral Training Partnership in Environmental Research grant NE/S007474/1 titled Marine dispersal and retention in the western Indian Ocean", "keywords": "Indian Ocean, ocean current, surface velocity, temperature, salinity, ocean model, CROCO, dispersal, coral reef", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2022-10-12T16:01:40", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/37622/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37626/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/179566/?format=api" ] }, { "ob_id": 37907, "uuid": "65b50d3348cb4745bb7acfcf6f2057b8", "title": "Integrated Research Observation System for Clean Air (OCSA): Birmingham, Manchester and London air quality supersites data collection", "abstract": "A collection of ground-based observation datasets made at 3 air quality supersites in Manchester, Birmingham and London for the Integrated Research Observation System for Clean Air (OSCA) project which is part of the Strategic Priorities Fund (SPF) Clean Air Programme. \r\n\r\nMeasurements were made of a broad range of atmospheric components by similar comprehensive instrument suites at the 3 sites on a longterm basis beginning at the end of 2018. Additional instrumentation was temporarily added for intensive operation periods in June 2021 and January 2022.\r\n\r\nThis project was a collaboration between University of Manchester, University of Birmingham, Kings College London, University of Cambridge, University of York, Centre for Ecology and Hydrology, National Centre for Atmospheric Science (NCAS) and University of Edinburgh.", "keywords": "OSCA, air quality, maqs, baqs, OSCA-AQ, laqs, lhop", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-01-25T15:01:30", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/37924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37938/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37941/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37946/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37951/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37977/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39530/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39537/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41381/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180989/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/180994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193034/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193035/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193036/?format=api" ] }, { "ob_id": 38137, "uuid": "b1211ad185e24b488d41dd98f957506c", "title": "DCMEX: Collection of in-situ airborne observations, ground-based meteorological and aerosol measurements and cloud imagery for the Deep Convective Microphysics Experiment", "abstract": "A collection of measurements made for the Deep Convective Microphysics Experiment (DCMEX) project. This includes in-situ airborne observations by the FAAM BAE-146 aircraft, cloud images from 2 NCAS cameras deployed at 3 sites in the area during the course of the field campaign and meteorological and aerosol measurements made at two groundbased stations.\r\n\r\nDCMEX examined the formation and development of clouds over mountains and was based in the Magdalena Mountains, New Mexico area, between July and August 2022.\r\n\r\nAssociated datasets are also available: \r\nTimelapse footage of deep convective clouds in New Mexico produced during the DCMEX field campaign https://doi.org/10.5281/zenodo.7756710 \r\nDCMEX ground based radar data https://doi.org/10.5281/zenodo.10472266 \r\nand, the aircraft ice nucleating particle filter analysis https://doi.org/10.5518/1476", "keywords": "DCMEX, FAAM, airborne, atmospheric measurments, NCAS AMOF, cloud camera, aerosol, meteorology", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2022-09-20T12:00:00", "doiPublishedTime": "2024-04-30T08:00:50", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/38136/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38141/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38145/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38153/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38177/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38181/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/202070/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202071/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202073/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202074/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202078/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202080/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201929/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201930/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201932/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/202087/?format=api" ] }, { "ob_id": 38329, "uuid": "3ff7ae723d3542bab6525207a9092e2b", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 06.2 data collection", "abstract": "Soil Moisture data (version 06.2) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets alongside ancillary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, AMSR2, SMOS, GPM and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments.\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2021-12-31 and the ACTIVE product covering 1991-08-05 to 2021-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Additional documentation and information relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product User Guide.\r\n\r\nThe data set should be cited using all of 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\nIf using the COMBINED break-adjusted product, the following should also be cited in addition to the above:\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", "discoveryKeywords": [], "publicationState": "citable", "dataPublishedTime": "2023-03-10T12:23:19", "doiPublishedTime": "2023-05-03T13:36:37", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/38326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38328/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12473/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182554/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182555/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182552/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182553/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182562/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182565/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182567/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182568/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182569/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182570/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182571/?format=api" ] }, { "ob_id": 38335, "uuid": "ea3eb0714dc6402b905fe9f7ee50dbbc", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 07.1 data collection", "abstract": "Soil Moisture data (version 07.1) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets alongside ancillary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments.\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2021-12-31 and the ACTIVE product covering 1991-08-05 to 2021-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. In addition to the main products, an experimental break-adjusted COMBINED product is also provided at v07.1. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Additional documentation and information relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product User Guide.\r\n\r\nThe data set should be cited using all of 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\nIf using the COMBINED break-adjusted product, the following should also be cited in addition to the above:\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", "discoveryKeywords": [], "publicationState": "citable", "dataPublishedTime": "2023-03-10T12:41:00", "doiPublishedTime": "2023-05-03T13:39:20", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/38330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38334/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12474/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182673/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182675/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182685/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182687/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182688/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182690/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/182691/?format=api" ] }, { "ob_id": 38484, "uuid": "d9df49af5d7a49e7bf4c41dfbdd7b5e8", "title": "WCRP CMIP6: Met Office Hadley Centre (MOHC) UKESM1-1-LL model output collection", "abstract": "World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the Met Office Hadley Centre (MOHC) UKESM1-1-LL model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, MOHC, UKESM1-1-LL", "discoveryKeywords": [], "publicationState": "published", 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HadGEM3-GC31-HH model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HH model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-HH", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39067/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39070/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189425/?format=api" ] }, { "ob_id": 39074, "uuid": "45ba730bee5b4691917cb82a9b7a7672", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-HM model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-HM", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39072/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39075/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39081/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189456/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189449/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189450/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189451/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189452/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189453/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189448/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189455/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189454/?format=api" ] }, { "ob_id": 39085, "uuid": "5cc1c7fa858e454db88d0e3ceac77b34", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LL model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-LL", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39088/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39090/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189515/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189508/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189509/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189510/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189511/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189512/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189507/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189514/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189513/?format=api" ] }, { "ob_id": 39094, "uuid": "3420cb7fe1de4399b515a27e9ab00e91", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-LM model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-LM", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39095/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189557/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189558/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189559/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189561/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189556/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189563/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189562/?format=api" ] }, { "ob_id": 39099, "uuid": "3b2cd2556e0347f2998adce3e6f4c76a", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MH model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MH model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-MH", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39097/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189593/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189586/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189587/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189588/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189589/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189590/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189585/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189592/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189591/?format=api" ] }, { "ob_id": 39102, "uuid": "e22259236f1d4baa87a457714b3c346b", "title": "PRIMAVERA: Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Met Office Hadley Centre (MOHC) HadGEM3-GC31-MM model.", "keywords": "PRIMAVERA, HighResMIP, climate change, MOHC, HadGEM3-GC31-MM", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39100/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39105/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39107/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39109/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39111/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189612/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189605/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189606/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189607/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189608/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189609/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189604/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189611/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189610/?format=api" ] }, { "ob_id": 39136, "uuid": "1715a34bee5340eb9a2eaea38d0b235b", "title": "PRIMAVERA: Natural Environment Research Council (NERC) HadGEM3-GC31-HH model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Natural Environment Research Council (NERC) HadGEM3-GC31-HH model.", "keywords": "PRIMAVERA, HighResMIP, climate change, NERC, HadGEM3-GC31-HH", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39134/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189786/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189782/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189785/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189784/?format=api" ] }, { "ob_id": 39139, "uuid": "5eb7f6c2323d4ec7b6d9aa32d037921b", "title": "PRIMAVERA: Natural Environment Research Council (NERC) HadGEM3-GC31-HM model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the Natural Environment Research Council (NERC) HadGEM3-GC31-HM model.", "keywords": "PRIMAVERA, HighResMIP, climate change, NERC, HadGEM3-GC31-HM", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39137/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39140/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189805/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189802/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/189803/?format=api" ] }, { "ob_id": 39175, "uuid": "a891cf222e26476180fa914286d5a4f0", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, NCAS, MetUM-GOML2-HR", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39173/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39177/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190738/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190739/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190740/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190737/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190743/?format=api" ] }, { "ob_id": 39182, "uuid": "ae4bddbafe5640a38e457429a34cb8c4", "title": "PRIMAVERA: National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output collection", "abstract": "PRIMAVERA Project : Collection of simulations from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model.", "keywords": "PRIMAVERA, HighResMIP, climate change, NCAS, MetUM-GOML2-LR", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39180/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39184/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190784/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190777/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190778/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190779/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190780/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190781/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190776/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190783/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190782/?format=api" ] }, { "ob_id": 39213, "uuid": "7409c7ea8a5045f8ab08e44db9cccb1a", "title": "IPCC Sixth Assessment Report (AR6) Technical Summary", "abstract": "This dataset collection contains datasets relating to the figures found in the IPCC Sixth Assessment Report (AR6) Technical Summary.\r\n\r\nWhen using datasets from this collection please use the citation indicated in each specific dataset rather than the citation for the entire collection.\r\n\r\nFigure datasets related to this collection:\r\n- data for Figure TS.1\r\n- data for Figure TS.9\r\n- input data for Figure TS.12 \r\n- data for Figure TS.13\r\n- data for Figure TS.15\r\n- data for Figure TS.17\r\n- data for Figure TS.19\r\n- data for Figure TS.22\r\n- input data for Figure TS.24\r\n- data for Figure TS.25\r\n- data for Box TS.2, Figure 1\r\n- data for Box TS.2, Figure 2\r\n- data for Box TS.4, Figure 1\r\n- input data for Box Ts.4, Figure 1\r\n- input data for Box TS.5, Figure 1\r\n- data for Box TS.6, Figure 1\r\n- data for Box TS.7, Figure 1\r\n- data for Box TS.13, Figure 1\r\n- data for Cross-Section Box TS.1, Figure 1", "keywords": "IPCC, AR6, WG1, Technical Summary", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-11-12T10:10:53", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/37893/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37901/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38128/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38883/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38898/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38903/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38905/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38908/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39513/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39769/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40143/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190916/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190917/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190919/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/190927/?format=api" ] }, { "ob_id": 39238, "uuid": "815e52e0ccb44bdda28b3eb9682388e5", "title": "WCRP CMIP6: the E3SM-Project team E3SM-2-0 model output collection", "abstract": "The the E3SM-Project team team consisted of the following agencies: Lawrence Livermore National Laboratory (NCAR LLNL), Argonne National Laboratory (ANL), Brookhaven National Laboratory (BNL), Los Alamos National Laboratory (LANL), Lawrence Berkeley National Laboratory (LBNL), Oak Ridge National Laboratory (ORNL), Pacific Northwest National Laboratory (PNNL) and Sandia National Laboratories (SNL).World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the E3SM-Project team E3SM-2-0 model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, E3SM-Project, E3SM-2-0", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39236/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39240/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191029/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191031/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191032/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191033/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191034/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/191056/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191048/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191049/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191057/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191050/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191058/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191042/?format=api" ] }, { "ob_id": 39245, "uuid": "c21d744d20db4752a679e1009d46821c", "title": "WCRP CMIP6: the EC-Earth-Consortium team EC-Earth3-HR model output collection", "abstract": "The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Éireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3-HR model.\n\nThe official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.", "keywords": "CMIP6, WCRP, climate change, EC-Earth-Consortium, EC-Earth3-HR", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39243/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191245/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191248/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191249/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/191342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191278/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191312/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191280/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191313/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191281/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191314/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/191282/?format=api" ] }, { "ob_id": 39373, "uuid": "3a5c1bedafce46bfbde5c5d049d364d1", "title": "CCMI-2022 data produced by the CCSRNIES-MIROC32 model at NIES", "abstract": "The CCSRNIES-MIROC32 model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe CCSRNIES-MIROC32 chemistry-climate model is run by the modelling team at NIES (National Institute for Environmental Studies) in Japan and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, NIES, CCSRNIES-MIROC32, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39247/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39249/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39269/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192084/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192086/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192087/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194240/?format=api" ] }, { "ob_id": 39374, "uuid": "12ea0a59df5c425ca99970a9f512c352", "title": "CCMI-2022 data produced by the ACCESS-CM2-Chem model at CSIRO", "abstract": "The ACCESS-CM2-Chem model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe ACCESS-CM2-Chem chemistry-climate model is run by the modelling team at CSIRO (Commonwealth Scientific and Industrial Research Organisation) ARCCSS (Australian Research Council Centre of Excellence for Climate System Science) and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, ACCESS-CM2-Chem, CSIRO, CSIRO-ARCCSS, ARCCSS, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/37341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39277/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192090/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192091/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192092/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192093/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192095/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192089/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194191/?format=api" ] }, { "ob_id": 39375, "uuid": "bd97cfa2289a41ba92bb84d58113b1a8", "title": "CCMI-2022 data produced by the CMAM model at CCCma", "abstract": "The CMAM model contribution to CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe CMAM chemistry-climate model is run by the modelling team at CCCma (Canadian Centre for Climate Modelling and Analysis, Environment and Climate Change Canada) and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, CMAM, CCCma, ECCC, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-04-05T13:11:14", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39355/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39358/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39360/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43265/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43267/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43957/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192103/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192097/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192098/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192099/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192100/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192101/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192102/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194058/?format=api" ] }, { "ob_id": 39387, "uuid": "2bcef71c38f4426c997d956ea79a7aaa", "title": "CCMI-2022 data produced by the CNRM-MOCAGE model at CNRM-CERFACS", "abstract": "The CNRM-MOCAGE model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe CNRM-MOCAGE chemistry-climate model is run by the modelling team at the CNRM (Centre National de Recherches Meteorologiques), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique) and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, CNRM-MOCAGE, CNRM-CERFACS, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-11-11T15:52:18", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39366/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39371/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192147/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192149/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192150/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192151/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192153/?format=api" ] }, { "ob_id": 39388, "uuid": "97ad418aa55c44a7a2e6d1b1815f973d", "title": "CCMI-2022 data produced by the EMAC-CCMI2 model at MESSy-Consortium", "abstract": "The EMAC-CCMI2 model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe EMAC-CCMI2 chemistry-climate model is run by the MESSy-Consortium (Modular Earth Submodel System) in Germany and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, EMAC-CCMI2, MESSy-Consortium, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-04-06T09:49:17", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39364/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192155/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192157/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192158/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192159/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192160/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192161/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194245/?format=api" ] }, { "ob_id": 39389, "uuid": "5092335168ba4c94aa7bb07e98351f30", "title": "CCMI-2022 data produced by the UKESM1-StratTrop model at NCAS-CAMBRIDGE", "abstract": "The UKESM1-StratTropmodel contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe UKESM1-StratTrop chemistry-climate model is run by the modelling team at NCAS-CAMBRIDGE (National Centre for Atmospheric Science) and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, UKESM1-StratTrop, NCAS-CAMBRIDGE, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39345/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192163/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192164/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192165/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192166/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192167/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192168/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192169/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192742/?format=api" ] }, { "ob_id": 39463, "uuid": "4e326c5a514e49dcb634b544eb26f4d8", "title": "CCMI-2022 data produced by the GEOSCCM model at NASA-GSFC", "abstract": "The GEOSCCM model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe GEOSCCM chemistry-climate model is run by the modelling team at NASA-GSFC (NASA Goddard Space Flight Center) and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, GEOSCCM, NASA-GSFC, APARC", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39349/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43613/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192469/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192470/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192471/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192472/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192473/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192474/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192468/?format=api" ] }, { "ob_id": 39464, "uuid": "bf4d8984b7ba4afbae13912f1167dd70", "title": "CCMI-2022 data produced by the IPSL-CM6A-ATM-LR-REPROBUS model at IPSL", "abstract": "The IPSL-CM6A-ATM-LR-REPROBUS model contribution to the CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe IPSL-CM6A-ATM-LR-REPROBUS chemistry-climate model is run by the modelling team at IPSL (Institut Pierre Simon Laplace) in Paris and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, IPSL-CM6A-ATM-LR-REPROBUS, IPSL, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39352/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192476/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192477/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192478/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192479/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192480/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192481/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192475/?format=api" ] }, { "ob_id": 39477, "uuid": "a46fffe939cf4430b9ce812ffc5e03da", "title": "Meteorological Observations for the Multidisciplinary drifting Observatory for Study of Arctic Climate (MOSAiC) project", "abstract": "This collection contains a range of meteorological observations made by instruments on board the German Icebreaker ship Polarstern for the Multidisciplinary drifting Observatory for Study of Arctic Climate (MOSAiC) project.\r\n\r\nThe University of Leeds participation in MOSAiC was funded by the Natural Environment Research Council (NERC, grant: NE/S002472/1) and involved instrumentation from the Atmospheric Measurement and Observations Facility of the UK's National Centre for Atmospheric Science (NCAS AMOF).", "keywords": "Arctic Ocean", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2022-12-12T13:59:33", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/37046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/38257/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39468/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192547/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192548/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192549/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192544/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192545/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192546/?format=api" ] }, { "ob_id": 39548, "uuid": "4937e1d35a7e4b03bf26d8fa3a30c590", "title": "EuroCORDEX-UK: Regional climate projections for the UK", "abstract": "UK data from regional climate model runs from 1980-2080 under the RCP8.5 emissions scenario, produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) at 0.11 degree resolution (EUR-11). \r\n\r\nThe data is available at the same temporal resolutions as the UKCP18 regional model output: at daily, monthly, seasonal and annual timescales; and on a 12 km OSGB grid, and averaged over major UK river catchments, administrative regions, and the countries of the United Kingdom.\r\n\r\nDataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC.", "keywords": "EuroCORDEX, CORDEX, regional, climate, UK, simulations, RCM, projections, UKCP18", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-02-22T09:37:32", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39539/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39541/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39542/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39543/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43154/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43158/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192829/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192830/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192831/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192832/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192833/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193521/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193522/?format=api" ] }, { "ob_id": 39572, "uuid": "b21d053ef801467298cf87811467a7eb", "title": "RisesAM-OceanWaves: An hourly simulation of sea surface waves for historic and future climate", "abstract": "This data collection comprises four simulations; covering two different domains and two different periods. RisesAM-NEA is a regional model of the North East Atlantic, and RisesAM-Global covers the world ocean. Each simulation is run for a historic reanalysis period (1979-2015) forced by ECMWF Re-Analysis winds (ERA-Interim, https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim) The global models are also forced with sea-ice cover from the same data source. The climate projections (1970-2100) are forced by EC-Earth (https://ec-earth.org/) Regional models are driven by the same climate models, downscaled to 12km resolution, under EuroCordex programme (https://euro-cordex.net/) The data are produced with a spectral wave model; WaveWatchIII (Tolman, 1997). The data on a regular lat/long grid and the global wave model resolution is around 0.8 degrees, and the regional model is 1/12th degree. The netcdf data include high frequency (hourly) wave data of bulk parameters representing significant wave height, mean wave direction, and energy period. Partitioned wave data are also included for significant wave height, peak period, and direction. These data are presented in 3 partitions, with a fraction of wind sea specified for each. The data set is produced to investigate the future wave conditions of Europe under climate change. There are 2 different climate futures explored; RCP8.5 and RCP4.5 (regional concentration pathways). The simulations were run using funding from the European Union’s Seventh Programme for Research, Technological Development and Demonstration under Grant Agreement No: FP7-ENV-2013-Two-Stage-603396-RISES-AM-. This work used the ARCHER UK National Supercomputing Service (http://www.archer.ac.uk)", "keywords": "surface, model, wave, ERA, interim, reanalysis, UK, climate, projections, UKCP18", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-04-04T13:47:30", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39560/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39564/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39566/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39570/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192975/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192976/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192974/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192977/?format=api" ] }, { "ob_id": 39574, "uuid": "0aa1ec0cf18e4065bdae8ae39260fe7d", "title": "MOASA Clean Air Project: airborne atmospheric measurements collection", "abstract": "A long-term quality assured dataset of the three-dimensional distribution of pollutants (gaseous nitrogen dioxide, ozone, sulphur dioxide and fine mode (PM2.5) aerosol) collected over southern UK, from August 2019 to April 2022, using the instrumented Met Office Atmospheric Survey Aircraft (MOASA). It includes 60 flights (totalling over 153 hours of atmospheric sampling), across 8 repeatable sorties made for the MOASA Clean Air project.\r\n\r\nData are presented as one NetCDF file per flight, containing quality assured, time synchronised, three-dimensionally geo-located time-series of observed pollutants. \r\n\r\nTo ensure optimal traceability and transparency of data, comprehensive metadata is included for each flight, detailing any calibration constants and/or corrections applied to data alongside general information about the data and instruments. \r\n\r\nA full list of NetCDF variables can be found in “Long-term airborne measurements of pollutants over the United Kingdom to support air quality model development and evaluation”, A. Mynard et al, 2023. This paper also provides a technical introduction to the MOASA measurement platform, information on instrumentation, flight strategies and data, as well as example case studies comparing flight observations to the Met Office Air Quality in the Unified Model (AQUM) and the ground based Automated Urban and Rural Network. This paper should be referenced in any research/publications pertaining from this dataset.", "keywords": "aircraft, Met Office, clean air, nitrogen dioxide, NO2, ozone, O3, sulphur dioxide, SO2, PM2.5, aerosol", "discoveryKeywords": [], "publicationState": "citable", "dataPublishedTime": "2023-09-15T15:09:28", "doiPublishedTime": "2023-09-20T08:53:19", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39909/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39914/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39918/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39931/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39935/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40393/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40397/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40401/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12687/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192990/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192991/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192992/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/192997/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198215/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198239/?format=api" ] }, { "ob_id": 39704, "uuid": "201dac63fd1046e39299801dbf47dd3f", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the CNRM-CM 6.1 model at Météo France", "abstract": "The CNRM-CM 6.1 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by the modelling team at Météo France.\r\n\r\nData produced using the Centre National de Recherches Météorologiques fully coupled atmosphere‐ocean general circulation model CNRM-CM 6.1. The model consists of the ARPEGE-Climat 6.3 atmospheric model, the NEMO 3.6 ocean model, the GELATO 6 sea ice model and the ISBA-CTRIP land surface model.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- Evaluation of CMIP6 DECK experiments with CNRM-CM6-1: Voldoire, A., Saint-Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J.-F., Michou, M., Moine, M.-P., Nabat, P., Roehrig, R., y Mélia, D. S., Séférian, R., Valcke, S., Beau, I., Belamari, S., Berthet, S., Cassou, C., Cattiaux, J., Deshayes, J., Douville, H., Ethé, C., Franchistéguy, L., Geoffroy, O., Lévy, C., Madec, G., Meurdesoif, Y., Msadek, R., Ribes, A., Sanchez-Gomez, E., Terray, L., and Waldman, R., J. Adv. Model Earth Sy., 11, 2177–2213,\r\nhttps://doi.org/10.1029/2019MS001683, 2019", "keywords": "CNRM-CM 6.1, Météo France, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-10-14T07:48:48", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39694/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39697/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39698/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39702/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193341/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193347/?format=api" ] }, { "ob_id": 39714, "uuid": "0c05980e9c2e4809887ff2c2dcf99851", "title": "EQUIPT4RISK - Evaluation, Quantification and Identification of Pathways and Targets for the assessment of Shale Gas RISK", "abstract": "This dataset collection contains data from the EQUIPT4RISK project which aims to identify, characterise and parameterise the multiple direct and indirect pathways within the shallow subsurface and the atmosphere (and across interfaces), which link sources of contamination and hazards associated with shale gas (SG) operations to human and sensitive environmental receptors, and surface infrastructure.\r\n\r\nThis collection contains model simulations of the concentration of pollutants over the UK with and without additional emissions associated with the new hydrocarbon sources.", "keywords": "EQUIPT4Risk, WP1, contaminants", "discoveryKeywords": [], "publicationState": "", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39710/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/193437/?format=api" ] }, { "ob_id": 39941, "uuid": "34038fecaaca472b9281184718841acf", "title": "NERC Field Spectroscopy Facility (FSF)", "abstract": "The NERC Field Spectroscopy Facility maintains and provides a pool of state-of-the-art spectroscopy instruments for use by the UK research community. This collection consists of datasets produced by various project teams based on measurements collected by these instruments.\r\nThe FSF is located in the GeoSciences department at the University of Edinburgh and overseen by NERC's National Centre for Earth Observation.", "keywords": "NERC, FSF", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-04-24T15:53:08", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39819/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39827/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194373/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194375/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194378/?format=api" ] }, { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "title": "ESA Ocean Colour Climate Change Initiative (Ocean_Colour_cci): Version 6.0, 4km resolution data", "abstract": "This collection contains version 6.0 datasets at 4km resolution produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies.\r\n\r\nData products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided.\r\n\r\nThis dataset collection refers to the Version 6.0 of the 4km resolution data products held in the CEDA archive covering the period 1997-2022. Links to the individual datasets that make up this collection are given in the record below.", "keywords": "ESA, Ocean Colour, CCI, ECV", "discoveryKeywords": [ 1140 ], "publicationState": "citable", "dataPublishedTime": "2023-08-01T09:30:05", "doiPublishedTime": "2023-08-08T16:21:49", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39942/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39945/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39947/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39949/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/39971/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12673/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194418/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194419/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194420/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194421/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194414/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194415/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194416/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194417/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194422/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194423/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194424/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194432/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194433/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194434/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194435/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194436/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194437/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194438/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194439/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194440/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194441/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194442/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194443/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194444/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194445/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194446/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194447/?format=api" ] }, { "ob_id": 40010, "uuid": "aedab4ebf3ac425ca06d4f308c5242a6", "title": "Regional summaries from Arctic high-resolution sea ice-ocean forced modelling hindcasts (2008-2021) and forced modelling projections (2000-2050) as part of the PRE-MELT project.", "abstract": "Two sea ice-ocean forced modelling datasets (hindcasts and projections) were produced to analyse oceanic impacts on retreat of the Arctic sea-ice pack in the high Arctic, from areas of the Transpolar drift, north of Greenland and in the Fram Strait in the present and future climates and how those are linked to the changes in the Arctic ecosystems. The model outputs span the Arctic Ocean proper and the sub-Arctic seas, covering the near-present (2008-2021: hindcasts) and future climate (2000-2050: projections). \r\n\r\nThe forced modelling hindcasts were generated using the Global Ocean and Sea Ice GO8p7, developed under the Joint Marine Modelling Programme (JMMP), a collaboration between NOC, BAS and the UK Met Office. GO8p7 is based on NEMO v4.0 and the SI3 sea ice model and includes a package of modifications, including a scale-dependent Gent & McWilliams parameterisation, partial slip lateral boundary conditions south of 50°S and 4th-order horizontal tracer advection. The present simulation done under the ACSIS NCLTS-M programme was integrated with the Japanese 55-year atmospheric analysis JRA55 (v1.3-do) from 1958 to 2021. The monthly and 5-day averages of the key sea-ice and ocean fields for the pan-Arctic and Greenland regions were created and combined into 4-D files for easy data handling. \r\n\r\nThe forced modelling projections were generated using the NEMOv4.2-SI3 common NOC-UK MetOffice configuration (G8.7) coupled to the MEDUSA ecosystem model. The forcing fields were from the UK ESM1.1 model SSP370 integrations. Monthly averages of the key sea-ice, ocean and biogeochemical fields for the pan-Arctic and Greenland regions for the end of each of the decades 2020, 2030, 2040, and 2050 were created and combined into 4-D files for easy data handling. \r\n\r\nThe sea ice model output for both datasets were validated against the AMSR-E satellite sea-ice concentrations, as well as the CryoSat-2 and SMOS sea-ice thickness datasets. These data were produced by National Oceanography Centre (NOC) scientists under Natural Environment Research Council (NERC) project PRE-MELT (grant references NE/T001399/1, NE/T000260/1, NE/T000546/1). \r\n\r\nAdditional funding also came from NERC projects APEAR (grant reference NE/R012865/1), ARISE (grant reference NE/P006000/1), and Arctic PrIZE (grant reference NE/P006078/1), funded under the NERC/BMBF Changing Arctic Ocean Programme, from NERC NCLTS-M programmes ESM (grant reference NE/N018036/1) and ACSIS (grant reference NE/N018044/ 1). and from NCLTS-S programme CLASS (grant reference NE/R015953/1), from the European Commission grant CRESCENDO (grant no. 641816) and from the European Union’s Horizon 2020 research and innovation programme under grant agreement 820989 (Project COMFORT—Our common future ocean in the Earth system - quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points).", "keywords": "Arctic Ocean, sea-ice, JRA55 v1.3-do ,UK ESM1.1, MEDUSA, GO8p7, Fram Strait, CryoSat-2, SMOS, ARCRegi", "discoveryKeywords": [], "publicationState": "citable", "dataPublishedTime": "2023-11-20T13:36:15", "doiPublishedTime": "2023-11-20T13:36:15", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/37662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/37668/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12738/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194959/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194956/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194957/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194958/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194960/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194970/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194973/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/194974/?format=api" ] }, { "ob_id": 40017, "uuid": "832677618370457f9e0a85da021c1312", "title": "Physical Marine Climate Projections for the North West European Shelf Seas based on the UKCP18 Perturbed Parameter Ensemble.", "abstract": "A set of ensemble climate projections for the physical marine environment of the Northwest European Shelf Seas (NWS), with a consistent present day control simulation. This data set updates the Maritime INdustries Environmental Risk and Vulnerability Assessment (MINERVA) projections, and is consistent with global climate model simulations performed as part of the United Kingdom’s Climate Projections of 2018 (UKCP18). \r\n\r\nThe UKCP18 Perturbed Parameter Ensemble (PPE) of the Met Office Global Coupled model version 3.05 (HadGEM3-GC3.05) has been downscaled with a North West European Shelf seas climate configuration of the Nucleus for European Modelling of the Ocean (NEMO) Coastal Ocean model. The UKCP18 HadGEM3-GC3.05 PPE was designed to span the range of uncertainty associated with model parameter uncertainty in the atmosphere of the driving global climate model. Each of the 12 PPE ensemble members have been downscaled as transient simulation for the period 1990-2098 under the RCP8.5 climate change scenario. We refer to the downscaled ensemble as the North West Shelf Perturbed Parameter Ensemble (NWSPPE). \r\n\r\nThe NEMO configuration for NWSPPE has a horizontal resolution of 7 km with 51 vertical levels using terrain-following s-coordinates. This data collection includes 2D fields of monthly mean output over the full simulation period for every ensemble member, as well as pre-processed climatologies and ensemble statistics (for an early-century (2000-2019) and late-century (2079-2098) period). Regional mean time series are also included for each ensemble member at monthly time resolution.\r\n\r\nA 200-year “present day” control simulation (for the year 2000) has also been downscaled with the shelf seas climate version of the NEMO Coastal Ocean model. HadGEM3 GC3.05 was run for 200 years with the atmospheric constituents fixed to the values of the year 2000. The present-day control simulation provides an estimate of the internal variability in the climate system that can arise in the absence of time-varying external forcings. Details of this simulation, which formed part of the core UKCP18 project, are available in Tinker et al. (2020).\r\n\r\nThese projections represent an update to the MINERVA projections, designed to provide a new and complementary evidence base to inform the fourth UK Climate Change Risk Assessment (CCRA4) and other climate change studies. While they use updated modelling systems and techniques, and represent a much larger dataset, the projections are structurally the same. These projections include Sea Surface, Near Bed, and the Difference between the surface and bed Temperature and Salinity (SST, NBT, DFT, SSS, NBS, DFS), Potential Energy Anomaly (PEA), Mixed Layer Depth (MLD), the barotropic currents (their U and V components (DMU, DMV), as well as their magnitude, DMUV).", "keywords": "UKCP, UKCP18, Marine Climate, Uncertainty, Climate Downscaling, NW European Shelf Seas, Shelf Seas, Temperature, SST, Salinity, Stratification, North Sea, Celtic Sea, Irish Sea, English Channel, regional, climate, UK, simulations, projections", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-06-01T13:25:31", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40015/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40016/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195009/?format=api" ] }, { "ob_id": 40060, "uuid": "2c6f3201f01d4346a97ff8f08a8c15c9", "title": "LiDAR (Light Detection And Ranging) images and model output from cliffs at Happisburgh, Norfolk, UK, 2019, from BLUE-coast and ScanLAB projects.", "abstract": "A colour LiDAR (Light Detection And Ranging) dataset was obtained at the cliffs at Happisburgh, Norfolk, UK, over a period of 9 months (April 6, 2019 to December 23, 2019). The scans were taken daily for 90% of the study period using a FARO S350 TLS (Terrestrial LiDAR Scanner). Scans were carried out from two locations consecutively, positioned at around 40 m from the cliffs. The full scans are also split into smaller subsets: \"slices\", 1 m wide bands oriented perpendicular to the shoreline, and \"grids\", smaller areas of the beach, to assist analysis. The numerical model SWAN (Simulated Waves Nearshore) (v41.31a), run in non-stationary mode, was used to simulate hourly sea states at the study site to aid in the context of environmental conditions. Wind parameters from the ERA5 reanalysis and bathymetry from the OceanWise 1 arc second digital elevation model (DEM) were used to force the SWAN model, and obtained wave parameters in 4x6 km rectangular grid around the scanning site, with a 10m interval, and a 26x26 km square grid encompassing the smaller grid, with a 100 m interval. The LiDAR scans were also projected into both colour and intensity images, viewing the shoreline from above. This research was funded by the UK Natural Environment Research Council (NE/M004996/1; BLUE-coast project). The on-location LiDAR Scanning and Technical R&D operated by ScanLAB Projects Ltd was funded by Innovate UK's Audience of the Future Program (Multiscale 3D Scanning with Framerate for TV and Immersive Applications project). The first 6 months of LiDAR scans (April to September 2019) were funded by Innovate UK, and this project was continued by the NERC BLUE-coast funding for the last 3 months (October to December 2019).", "keywords": "coast, cliff, beach, shore, platform, Happisburgh, LiDAR, orthophotos, meteorology, oceanography", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2023-08-11T08:58:21", "doiPublishedTime": "2024-03-04T16:57:35", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40026/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41499/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41529/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12842/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195208/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195207/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195209/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195206/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197676/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197683/?format=api" ] }, { "ob_id": 40086, "uuid": "943749c71fe9467fbcaeb40310b35049", "title": "ATSR-2 Multimission land and sea surface data, version 3.0.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR2 Multimission land and sea surface data. These data result from the 3rd reprocessing second pass and are tagged v3.0.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "keywords": "ATSR-2, AATSR-multimission, temperature, reflectance, satellite", "discoveryKeywords": [ 1138, 1142 ], "publicationState": "published", "dataPublishedTime": "2023-10-02T08:40:28", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40085/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40152/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40160/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195304/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195305/?format=api" ] }, { "ob_id": 40190, "uuid": "a918c09740b345a089fd47c4c48526b4", "title": "CCMI-2022 data produced by the MIROC-ES2H model from MIROC", "abstract": "The MIROC-ES2H model contribution to CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe MIROC-ES2H chemistry-climate model is based on a global climate model MIROC (Model for Interdisciplinary Research on Climate) which has been cooperatively developed by JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021).\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, MIROC-ES2H, MIROC, JAMSTEC, AORI, NIES, R-CCS, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-08-11T11:35:31", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40191/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40351/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43437/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195961/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195963/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195964/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195965/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195966/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195967/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/195962/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196638/?format=api" ] }, { "ob_id": 40201, "uuid": "0760dcb81380402f8e7a1dcb20d1eec9", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GEM-NEMO model at ECCC", "abstract": "The GEM-NEMO model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by the modelling team at Environment and Climate Change Canada (ECCC).\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\nModel reference publications:\r\n- Smith, G. C., Bélanger, J.-M., Roy, F., Pellerin, P., Ritchie, H., Onu, K., Roch, M., Zadra, A., Colan, D. S., Winter, B., Fontecilla, J.-S., and Deacu., D.: Impact of Coupling with an Ice–Ocean Model on Global Medium-Range NWP Forecast Skill, Mon. Wea. Rev., 146, 1157–1180, https://doi.org/10.1175/MWR-D-17-0157.1, 2018\r\n- Lin, H., Merryfield, W. J., Muncaster, R., Smith, G. C., Markovic, M., Dupont, F., Roy, F., Lemieux, J.-F., Dirkson, A., Kharin, V. V., Lee, W.-S., Charron, M., and Erfani, A.: The Canadian Seasonal to Interannual Prediction System Version 2 (CanSIPSv2), Weather and Forecasting, 35, 1317–1343, https://doi.org/10.1175/WAF-D-19-0259.1, 2020", "keywords": "GEM-NEMO, ECCC, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-10-14T07:49:23", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40199/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196013/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205548/?format=api" ] }, { "ob_id": 40209, "uuid": "181b2e501be0452984371d1c77fdab2a", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GLOBO model at CNR-ISAC", "abstract": "The GLOBO model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by the modelling team at the Institute of Atmospheric Sciences and Climate, Bologna, Italy (CNR-ISAC).\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Malguzzi, P., Buzzi, A., and Drofa, O.: The Meteorological Global Model GLOBO at the ISAC-CNR of Italy Assessment of 1.5 Yr of experimental Use for Medium-Range Weather Forecasts, Weather Forecast., 26, 1045–1055, https://doi.org/10.1175/WAF-D-11-00027.1, 2011\r\n- Mastrangelo, D. and Malguzzi, P.: Verification of Two Years of CNR-ISAC Subseasonal Forecasts, Weather and Forecasting, 34, 331–344, https://doi.org/10.1175/WAF-D-18-0091.1, 2019", "keywords": "GLOBO, CNR-ISAC, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-10-11T15:02:41", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40202/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40205/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40207/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196043/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196044/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196045/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196046/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196039/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196040/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196041/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196042/?format=api" ] }, { "ob_id": 40217, "uuid": "8210180b4c664012831f8a66c934c004", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GRIMs model at SNU", "abstract": "The GRIMs model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at Seoul National University (SNU). \r\n\r\nThese datasets contain data from the Global/Regional Integrated Model System (GRIMs) at T126 horizontal and L64 vertical resolutions. The GRIMs model is an atmospheric general circulation model (AGCM) using Optimum Interpolation Sea Surface Temperature (OISST) dataset as ocean boundary conditions and climatological ozone. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publication:\r\nKoo, MS., Song, K., Kim, JE.E. et al. The Global/Regional Integrated Model System (GRIMs): an Update and Seasonal Evaluation. Asia-Pac J Atmos Sci 59, 113–132 (2023). https://doi.org/10.1007/s13143-022-00297-y", "keywords": "GRIMs, SNU, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-10-14T07:47:20", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40210/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40213/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40215/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196077/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196078/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196080/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196081/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196082/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196083/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196084/?format=api" ] }, { "ob_id": 40225, "uuid": "81516f7545ef4ba1b39ec87ed5d0e5f1", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GloSea6-GC32 model at KMA", "abstract": "The GloSea6-GC32 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at Korea Meteorological Administration (KMA). \r\n\r\nThese datasets contains data from the Global Seasonal Forecasting System version 6 (GloSea6) of Korea Meteorological Administration at N216 (432x324) horizontal and L85 vertical resolutions. The GloSea6 model is a coupled general circulation model (CGCM) consisting of UM11.5, NEMO3.6, CICE5.1.2, JULES5.6 for atmosphere, ocean, sea ice, and land models, respectively. All data in this dataset are regridded to 1.5x1.5 degree resolution.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- MacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014\r\n- Williams, K. D., Harris, C. M., Bodas-Salcedo, A., Camp, J., Comer, R. E., Copsey, D., Fereday, D., Graham, T., Hill, R., Hinton, T., Hyder, P., Ineson, S., Masato, G., Milton, S. F., Roberts, M. J., Rowell, D. P., Sanchez, C., Shelly, A., Sinha, B., Walters, D. N., West, A., Woollings, T., and Xavier, P. K.: The Met Office Global Coupled model 2.0 (GC2) configuration, Geosci. Model Dev., 8, 1509–1524, https://doi.org/10.5194/gmd-8-1509-2015, 2015\r\n- Walters, D., Boutle, I., Brooks, M., Melvin, T., Stratton, R., Vosper, S., Wells, H., Williams, K., Wood, N., Allen, T., Bushell, A., Copsey, D., 675 Earnshaw, P., Edwards, J., Gross, M., Hardiman, S., Harris, C., Heming, J., Klingaman, N., Levine, R., Manners, J., Martin, G., Milton, S., Mittermaier, M., Morcrette, C., Riddick, T., , Roberts, M., Sanchez, C., Selwood, P., Stirling, A., Smith, C., Suri, D., Tennant, W., Vidale, P. L., Wilkinson, J., Willett, M., Woolnough, S., and Xavier, P.: The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations, Geosci. Model Dev., 10, 1487–1520, https://doi.org/10.5194/gmd-10-1487-2017, 2017", "keywords": "GloSea6-GC32, KMA, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-10-14T07:51:50", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40218/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40223/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196113/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196116/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196117/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196118/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196119/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196120/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196114/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196121/?format=api" ] }, { "ob_id": 40273, "uuid": "f9409f61fcc5494386d52f8efbcf8ddd", "title": "CCI/C3S/U Reading: Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record Collection, version 2.1", "abstract": "This collection of datasets provides a full time series of Sea Surface Temperature Level 3C data from the Advanced Very High Resolution Radiometer (AVHRR) satellite instruments. It comprises two datasets, the v2.1 CDR dataset from the ESA Climate Change Initiative and the corresponding ICDR dataset from the Copernicus Climate Change service (C3S). \r\n\r\nThe ICDR data follows on from the CDR dataset in time, and is intended for use as a single dataset.", "keywords": "", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/39978/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196294/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196296/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196297/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196298/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196300/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196301/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196302/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196303/?format=api" ] }, { "ob_id": 40368, "uuid": "02b333743ab14d0fa95894b00ccca3cf", "title": "CCMI-2022 data produced by the CESM2-WACCM model at NCAR", "abstract": "The CESM2-WACCM model contribution to CCMI-2022 set of experiments defined by the APARC- and IGAC-supported Chemistry-Climate Model Initiative.\r\n\r\nThe CCMI-2022 set of model experiments focus on the stratosphere, with the goals of providing updated projections of the future evolution of ozone and improving our understanding of chemistry-climate interactions and how they are represented in models.\r\n\r\nThe CESM2-WACCM chemistry-climate model is run by the modelling team at NCAR (National Center for Atmospheric Research) and configured to follow forcings as laid out in the CCMI2022 founding document (Plummer et al., 2021)\r\n\r\nAPARC (formerly SPARC) and IGAC projects coordinate international research in atmospheric chemistry. APARC (Atmospheric Processes And their Role in Climate) is a core project of the World Climate Research Programme (WCRP). IGAC is the International Global Atmospheric Chemistry which currently operates under the umbrella of Future Earth.", "keywords": "CCMI-2022, CESM2-WACCM, NCAR, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-11-11T15:58:50", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40361/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40364/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40366/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196803/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196797/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196804/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196798/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196799/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196800/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196801/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196802/?format=api" ] }, { "ob_id": 40379, "uuid": "8fc98ddf822f464dbd8a9e89b2da063c", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the GloSea6 model at UKMO", "abstract": "The GloSea6 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the UK Met Office (UKMO). \r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publication:\r\nMacLachlan, C., Arribas, A., Peterson, K. A., Maidens, A., Fereday, D., Scaife, A. A., Gordon, M., Vellinga, M., Williams, A., Comer, R. E., Camp, J., Xavier, P., and Madec, G.: Global Seasonal forecast system version 5 (GloSea5): a high-resolution seasonal forecast system, Q. 605 J. R. Meteorol. Soc., 141, 1072–1084, https://doi.org/10.1002/qj.2396, 2014", "keywords": "GloSea6, UKMO, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-10-14T07:55:55", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43962/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196854/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196856/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196857/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196855/?format=api" ] }, { "ob_id": 40380, "uuid": "d160e81ccf9842d0b1c0a25b56a5ddfa", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the IFS model at ECMWF", "abstract": "The IFS model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the European Centre for Medium-Range Weather Forecasts (ECMWF). \r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- ECMWF IFS model reference publication", "keywords": "IFS, ECMWF, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-10-14T07:56:33", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40369/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40372/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40374/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40791/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196867/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196868/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196869/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196870/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196871/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196872/?format=api" ] }, { "ob_id": 40381, "uuid": "300077b625e94c02b7d93e6521b4451d", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the SPEAR model at NOAA-GFDL", "abstract": "The SPEAR model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the National Oceanic and Atmospheric Administration- Geophysical Fluid Dynamics Laboratory.\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- GFDL SPEAR reference publication: Delworth et al. (2020)", "keywords": "SPEAR, NOAA-GFDL, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-10-14T07:57:04", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40376/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40624/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196877/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196879/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196880/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196878/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196873/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196874/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196875/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196876/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196881/?format=api" ] }, { "ob_id": 40392, "uuid": "ce8fb52804934952a00ef7d3d223d305", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the CESM2-CAM6 model at NCAR", "abstract": "The CESM2-CAM6 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the National Center for Atmospheric Research, USA (NCAR). \r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n\r\nModel reference publications:\r\n- Danabasoglu et al. (2020)\r\n- Richter et al. (2021)", "keywords": "CESM2-CAM6, NCAR, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-10-14T07:51:13", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40385/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40388/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40390/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196922/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196923/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196924/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196925/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196926/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196921/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196927/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/196920/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/205496/?format=api" ] }, { "ob_id": 40623, "uuid": "88a8620229014e0ebacf0606b302112d", "title": "ForestScan Collection", "abstract": "This collection is part of the European Space Agency (ESA) funded ForestScan project designed to improve the use of new Earth Observation (EO) estimates of above ground biomass (AGB) by providing TLS-, unmanned airborne vehicles (UAV-LS)- and airborne (ALS) LiDAR scanning-derived AGB and tree census data to compare to allometric and EO-derived estimates. The collection contains a multiscale dataset of tropical forest 3D structural measurements, including terrestrial laser scanning (TLS), unoccupied aerial vehicle LiDAR scanning (UAV-LS), airborne laser scanning (ALS), and in-situ tree census and ancillary data. ForestScan was conceived to evaluate new technologies for characterising forest structure and biomass at Forest Biomass Reference Measurement Sites (FBRMS). These data are critical for the calibration and validation of earth observation (EO) estimates of forest biomass, as well as providing broader insights into tropical forest structure.\r\n\r\nData are presented for the first three Forest Biomass Research Monitoring Sites in Paracou Research Station in French Guiana; Station d'Etudes des Gorilles et Chimpanzes, Lopé National Park in Gabon; and Kabili-Sepilok Forest Reserve, Malaysia. Field data for each site include new 3D LiDAR measurements combined with plot tree census and ancillary data, unmanned aerial vehicle-based laser scanning (UAV-LS) and airborne laser scanning (ALS) where possible, at a multi-hectare scale. Not all data types were collected at all sites, reflecting the practical challenges of field data collection.\r\n\r\nWe also provide detailed field data collection protocols for TLS, UAV-LS, and ALS measurements for each site, along with requirements for ancillary data to enable integration with ALS data (where possible) and upscaling to EO estimates.\r\n\r\nThe ForestScan project is closely aligned with other international initiatives, particularly the Committee on Earth Observation Satellites (CEOS) Working Group on Calibration & Validation (WGCV) AGB cal/val protocols, and GEO-TREES, a new Group on Earth Observations (GEO) initiative aimed at establishing a network of FBRM sites. ForestScan is the first demonstration of what could be achieved more broadly under GEO-TREES, which would significantly expand and enhance the use of EO-derived AGB estimates", "keywords": "ForestScan, GEO-TREES, BIOMASS mission, ESA, AGB estimates, TLS, UAV-LS, ALS, Tropical forests, Field protocols", "discoveryKeywords": [ 1138 ], "publicationState": "citable", "dataPublishedTime": "2025-02-20T12:01:20", "doiPublishedTime": "2025-01-20T15:38:54", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/38111/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40322/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40851/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40853/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40855/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40870/?format=api", 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"https://api.catalogue.ceda.ac.uk/api/v2/rpis/206669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206686/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206689/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/206691/?format=api" ] }, { "ob_id": 40660, "uuid": "793cdd9b0b0142e3af5b6013d2076e22", "title": "SERMON: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for SERMON FAAM Aircraft Project.", "keywords": "SERMON, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": "2023-06-19T14:08:12", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40659/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197858/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197859/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197860/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197861/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197862/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197863/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197864/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197865/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197866/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/197867/?format=api" ] }, { "ob_id": 40767, "uuid": "ff890589c21f4033803aa550f52c980c", "title": "ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 08.1 data collection", "abstract": "Soil Moisture data (version 08.1) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets alongside ancillary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, FY-3B, FY-3C, FY3D, AMSR2, SMOS, GPM and SMAP. The COMBINED product is generated from the Level 2 active and passive instruments.\r\n\r\nThe homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2022-12-31 and the ACTIVE product covering 1991-08-05 to 2022-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Additional documentation and information relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product User Guide.\r\n\r\nThe data set should be cited using all of 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", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-10-11T10:51:47", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40763/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40764/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40765/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40766/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198326/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198328/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198329/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198339/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198340/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198342/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198343/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198377/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198378/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198379/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/198380/?format=api" ] }, { "ob_id": 41059, "uuid": "39f15efce1d748c584c4056ed0eb9669", "title": "Total Carbon Column Observing Network (TCCON): All network sites", "abstract": "This repository is a mirror from the Caltech TCCON data repository located at https://tccondata.org/. This mirror is part of CEDA to facilitate JASMIN integration of the dataset.\r\n\r\nThe current Data Use Policy is available at https://tccon-wiki.caltech.edu/Main/DataUsePolicy\r\nSee project page for more details.", "keywords": "TCCON, Greenhouse gases, carbon dioxide, methane, carbon monoxide, nitrous oxide, ground-based, atmospheric trace gases, column-averaged dry-air mole fractions, remote sensing, FTIR spectroscopy", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40968/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40969/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40971/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40978/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40979/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40980/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40981/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40982/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40983/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40984/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40985/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40986/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40987/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40988/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40993/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40994/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40995/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40996/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/40999/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41000/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41001/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41002/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41003/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41004/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41005/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41006/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41007/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41008/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41009/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41010/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41011/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41012/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/43122/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199743/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199745/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199746/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199744/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199748/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199741/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199742/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199747/?format=api" ] }, { "ob_id": 41060, "uuid": "efd6f7f45fc34189b6fbb7164b6d7255", "title": "Total Carbon Column Observing Network (TCCON): TCCON data from Harwell, Oxfordshire (UK)", "abstract": "This repository contains TCCON data specific to the Harwell (UK) site. It contains both public top-level (Level 2) data, that have passed quality control, and the associated intermediate instrumental (Level 1) data for users wishing to run an independent column retrieval processor. Corresponding environmental (e.g. meteorological, geophysical) data recorded at the Harwell site are also provided.\r\n\r\nThe current Data Use Policy is available at https://tcconwiki.caltech.edu/Network_Policy/Data_Use_Policy\r\nSee project page for more details.", "keywords": "TCCON, Greenhouse gases, carbon dioxide, methane, carbon monoxide, nitrous oxide, ground-based, atmospheric trace gases, column-averaged dry-air mole fractions, remote sensing, FTIR spectroscopy", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2023-12-08T09:42:17", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/40972/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41600/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199759/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199750/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199751/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199752/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199753/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199754/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199755/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199749/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199756/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199757/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199758/?format=api" ] }, { "ob_id": 41083, "uuid": "01dac4c57559407fb40292389c386d30", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the CanESM5 model at CCCma", "abstract": "The CanESM5 model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the Canadian Centre for Climate Modelling and Analysis (CCCma). \r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- CanESM5 model reference publications: Swart et al. (2019); Sospedra-Alfonso et al. (2021)", "keywords": "CanESM5, CCCma, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2025-03-07T18:56:00", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/41076/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41079/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41081/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199834/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199835/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199836/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199837/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199838/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199839/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199840/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199841/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208158/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/208159/?format=api" ] }, { "ob_id": 41095, "uuid": "fc81d4179d1841b4a51564b719c2bd5c", "title": "MEWS: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for MEWS FAAM Aircraft Project.", "keywords": "MEWS, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": "2023-11-27T16:00:52", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/41094/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41168/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199884/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199885/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199886/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199887/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199888/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199889/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199890/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199891/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199892/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/199893/?format=api" ] }, { "ob_id": 41163, "uuid": "dd0d8d4051684412b54d188ca1d4970f", "title": "PTECE : in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for PTECE FAAM Aircraft Project.", "keywords": "PTECE , AEOG-4, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/41115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41162/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200182/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200183/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200184/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200185/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200186/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200187/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200188/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200189/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200190/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200191/?format=api" ] }, { "ob_id": 41164, "uuid": "71438398a0dc44808eb85fff689571aa", "title": "AEOG-4: in-situ airborne observations by the FAAM BAE-146 aircraft", "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft for AEOG-4 FAAM Aircraft Project.", "keywords": "PTECE , AEOG-4, FAAM, airborne, atmospheric measurments", "discoveryKeywords": [], "publicationState": "preview", "dataPublishedTime": null, "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/41115/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41132/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41140/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41148/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41156/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41162/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200192/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200193/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200194/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200195/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200196/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200197/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200198/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200199/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200200/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200201/?format=api" ] }, { "ob_id": 41204, "uuid": "da1e33cf3be54133a54026baf3289530", "title": "AATSR Multimission land and sea surface data, 4th Reprocessing", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). This dataset collection contains data from the 4th reprocessing of the AATSR data. This was done to make the data format consistent with that of the later Copernicus Sentinel data.\r\n\r\nThe Envisat AATSR Level 1B Brightness Temperature/Radiance product (AT_1_RBT) contains top of atmosphere (TOA) brightness temperature (BT) values for the infra-red channels and radiance values for the visible channels, on a 1-km pixel grid. Values for each channel and for the nadir and oblique views occupy separate NetCDF files within the Sentinel-SAFE format, along with associated uncertainty estimates. Additional files contain cloud flags, land and water masks, and confidence flags for each image pixel, as well as instrument and ancillary meteorological information.\r\n\r\nThis AATSR product [ENV_AT_1_RBT] in NetCDF format stemming from the 4th AATSR reprocessing, is a continuation of ERS ATSR data and a precursor of Sentinel-3 SLSTR data. It has replaced the former L1B product [ATS_TOA_1P] in Envisat format from the 3rd reprocessing. Users with Envisat-format products are recommended to move to the new Sentinel-SAFE like/NetCDF format products. The 4th reprocessing of Envisat AATSR data was completed in 2022.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Data is available from 2002 to 2012.\r\n\r\nThe data were acquired by the European Space Agency's (ESA) Envisat satellite, and the Centre for Environmental Data Analysis (CEDA) mirrors the data and allows for access via JASMIN.", "keywords": "AATSR, temperature, reflectance, satellite", "discoveryKeywords": [ 1138, 1142 ], "publicationState": "published", "dataPublishedTime": "2025-03-24T11:36:50", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/43183/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200330/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200332/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200333/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200334/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200335/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200336/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200337/?format=api" ] }, { "ob_id": 41206, "uuid": "76564384e4824d0ab94208c235be84f6", "title": "CCI River Discharge", "abstract": "to be written", "keywords": "", "discoveryKeywords": [], "publicationState": "working", "dataPublishedTime": null, "doiPublishedTime": null, "member": [], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200344/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200345/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200346/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200347/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200348/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200349/?format=api" ] }, { "ob_id": 41230, "uuid": "ecad5261e8d446bfa842b4b7a227d5b0", "title": "Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): data produced by the NAVGEM model at NRL", "abstract": "The NAVGEM model contribution to the Stratospheric Nudging And Predictable Surface Impacts (SNAPSI) project produced by scientists at the Naval Research Laboratory (NRL), Washington DC, USA.\r\n\r\n\r\nThe SNAPSI project is a model intercomparison project to study the role of the stratosphere in subseasonal forecasts following stratospheric sudden warmings and the representation of stratosphere-troposphere coupling in subseasonal forecast models.\r\n\r\n\r\n------------------------------------------\r\nSources of additional information\r\n------------------------------------------\r\nThe following web links are provided in the Details/Docs section of this catalogue record:\r\n\r\n- Stratospheric Nudging And Predictable Surface Impacts (SNAPSI): A Protocol for Investigating the Role of the Stratospheric Polar Vortex in Subseasonal to Seasonal Forecasts\r\n- New set of controlled numerical experiments: Stratospheric Nudging And Predictable Surface Impacts (SNAPSI)\r\n- NAVGEM model reference publications: Hogan et al. (2014); McCormack et al. (2017); Eckermann et al. (2018)", "keywords": "NAVGEM, NRL, stratosphere, arctic, antarctic, stratospheric polar vortex, SNAPSI, SNAP, APARC", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2025-03-07T19:01:43", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/41222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41227/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200425/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200426/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200427/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200428/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200429/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200430/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200431/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200432/?format=api" ] }, { "ob_id": 41237, "uuid": "f2ca631f29a24c47a7e98654ddf2c7d9", "title": "ESA Sea Surface Salinity Climate Change Initiative (Sea_Surface_Salinity_cci): Weekly and monthly sea surface salinity products, v04.41, for 2010 to 2022", "abstract": "The European Space Agency (ESA) Sea Surface Salinity Climate Change Initiative (CCI) consortium has produced global, level 4, multi-sensor Sea Surface Salinity maps covering the 2010-2022 period.\r\n\r\nThis dataset collection contains Sea Surface Salinity (SSS) v04.41 data at a spatial resolution of 50km and a time resolution of 1 week. It has been spatially sampled on a 0.25° grid and 1 day of time sampling. This product is also available on polar 25 km EASE (Equal Area Scalable Earth) grids.\r\n\r\nA monthly product is also available, at a spatial resolution of 25 km and a time resolution of 1 month. It is spatially sampled on a 0.25° grid and 15 days of time sampling. This product is also available on polar 25km EASE grids.\r\n\r\nIn addition to salinity, information on uncertainties are provided. For more information, see the user guide and product documentation available on the Sea Surface Salinity CCI web page (linked below).", "keywords": "ESA, Sea Surface Salinity, CCI", "discoveryKeywords": [], "publicationState": "citable", "dataPublishedTime": "2024-02-16T10:56:21", "doiPublishedTime": "2024-02-16T10:57:18", "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/41231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41232/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41234/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41235/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41236/?format=api" ], "identifier_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/12825/?format=api" ], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200648/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200649/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200643/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200644/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200645/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200650/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200646/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200647/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200652/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200651/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200653/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200654/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200677/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200656/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200657/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200678/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200679/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200660/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200680/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200662/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200665/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200666/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200681/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200668/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200682/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200683/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200669/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200671/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200672/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200674/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200684/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/200685/?format=api" ] }, { "ob_id": 41339, "uuid": "eb195463b93c47a0aa52a59885908b75", "title": "Arctic Summer-time Cyclones- Airborne meteorological measurements", "abstract": "Airborne in-situ observations of core meteorological data collected by the Meteorological Airborne Science INstrumentation (MASIN) instruments on board the British Antarctic Survey instrumented Twin Otter aircraft for the Arctic Summer-time Cyclones: Dynamics and Sea-ice Interaction project. The core data were collected in the Svalbard, Norway and Iceland Sea region between 29th July 2022 and 20th August 2022. The data is from a variety of instruments (temperature, humidity, wind, surface temperature, radiation and position), it is stored in NetCDF format using CF conventions.\r\n\r\nThe UK component of the Arctic Summertime-cyclones project field experiment are funded by the Natural Environment Research Council (NERC) NE/T006773/1, NE/T006811/1 and NE/T00682X/1. They will joined by teams from the USA and France, funded by the Office of Naval Research (USA).", "keywords": "MASIN, Meteorology, Arctic, Cyclone", "discoveryKeywords": [], "publicationState": "published", "dataPublishedTime": "2024-01-19T17:16:32", "doiPublishedTime": null, "member": [ "https://api.catalogue.ceda.ac.uk/api/v2/observations/41279/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41283/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41287/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41291/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41295/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41299/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41303/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41307/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41311/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41315/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41319/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41323/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41327/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41331/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/observations/41335/?format=api" ], "identifier_set": [], "responsiblepartyinfo_set": [ "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201231/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201221/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201222/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201223/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201224/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201225/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201226/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201220/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201227/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201228/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201229/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201230/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201233/?format=api", "https://api.catalogue.ceda.ac.uk/api/v2/rpis/201234/?format=api" ] } ] }