EC-Earth-Consortium EC-Earth-3-CC model output prepared for CMIP6 CMIP historical

Link:
Autor/in:
Beteiligte Personen:
  • Nieradzik, Lars
  • Miller, Paul
  • Acosta, Mario
  • Bernardello, Raffaele
  • Sicardi, Valentina
  • Tourigny, Étienne
  • Le Sager, Philippe
  • van Noije, Twan
  • Reerink, Thomas
  • Nieradzik, Lars
  • Wårlind, David
  • Smith, Ben
Verlag/Körperschaft:
Earth System Grid Federation
Erscheinungsjahr:
2021
Medientyp:
Datensatz
Schlagworte:
  • CMIP6
  • climate
  • CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.historical
Beschreibung:
  • Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3-CC.historical' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The EC-Earth3-CC climate model, released in 2019, includes the following components: atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), atmosChem: TM5 (3 x 2 degrees; 120 x 90 longitude/latitude; 34 levels; top level: 0.1 hPa), land: HTESSEL (land surface scheme built in IFS) and LPJ-GUESS v4, ocean: NEMO3.6 (ORCA1 tripolar primarily 1 degree with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), ocnBgchem: PISCES v2, seaIce: LIM3. The model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km. Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
relatedIdentifier:
DOI 10.1007/s00477-023-02484-3 DOI 10.1007/s00704-023-04430-3 DOI 10.1017/9781009157896 DOI 10.1017/9781009157896.005 DOI 10.1017/9781009157896.011 DOI 10.1017/9781009157896.012 DOI 10.1017/9781009157896.013 DOI 10.1029/2022wr033618 DOI 10.1038/s41597-023-02290-0 DOI 10.1038/s41597-023-02337-2 DOI 10.1080/02626667.2023.2245815 DOI 10.1088/1748-9326/abed7a DOI 10.1088/1748-9326/ac8e1a DOI 10.1088/1748-9326/acc6df DOI 10.1175/jcli-d-20-0970.1 DOI 10.1175/jcli-d-21-0177.1 DOI 10.5194/egusphere-egu23-5938 DOI 10.22033/ESGF/CMIP6.640 DOI 10.1002/joc.7641 DOI 10.1007/s00382-021-05942-2 DOI 10.1007/s00382-021-06108-w DOI 10.1007/s00382-024-07193-3 DOI 10.1007/s40808-022-01433-3 DOI 10.1007/s40808-023-01848-6 DOI 10.1007/s41748-022-00333-x DOI 10.1029/2019gl086075 DOI 10.1029/2021ef002150 DOI 10.1029/2022ef002878 DOI 10.1029/2022jd036673 DOI 10.1038/s41467-021-25257-4 DOI 10.1038/s41586-024-08089-2 DOI 10.1038/s41598-022-26513-3 DOI 10.1088/1748-9326/ab92c1 DOI 10.21203/rs.3.rs-1274137/v1 DOI 10.22541/essoar.167078790.00035564/v1 DOI 10.26153/tsw/47405 DOI 10.3390/rs14194701 DOI 10.3390/su151914204 DOI 10.5194/gmd-14-7255-2021 DOI 10.5194/gmd-15-1803-2022 DOI 10.5194/gmd-2020-235 DOI 10.5194/gmd-15-2973-2022 DOI 10.5194/gmd-2020-446
Lizenz:
  • CC BY 4.0
Quellsystem:
Forschungsdaten DKRZ

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