IPCC DDC: EC-Earth-Consortium EC-Earth3-Veg-LR model output prepared for CMIP6 ScenarioMIP

Link:
Autor/in:
Beteiligte Personen:
  • von Hardenberg, Jost
  • Zhang, Qiong
  • Zhang, Jenson
  • Yang, Shuting
  • Wyser, Klaus
  • Wårlind, David
  • Smith, Ben
  • Reerink, Thomas
  • Nieradzik, Lars
  • Miller, Paul
  • Li, Qiang
  • Le Sager, Philippe
  • Madsen, Marianne Sloth
  • Fladrich, Uwe
  • Wyser, Klaus
Verlag/Körperschaft:
World Data Center for Climate (WDCC) at DKRZ
Erscheinungsjahr:
2023
Medientyp:
Datensatz
Schlagworte:
  • Climate
  • CMIP6
  • CMIP6.ScenarioMIP.EC-Earth-Consortium.EC-Earth3-Veg-LR
  • EC-Earth-Consortium
  • EC-Earth3-Veg-LR
  • IPCC
  • IPCC-AR6
  • IPCC-AR6_CMIP6
  • IPCC-DDC
  • ScenarioMIP
  • climate change
  • model-output
Beschreibung:
  • Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - 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. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.ScenarioMIP.EC-Earth-Consortium.EC-Earth3-Veg-LR' 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-Veg-LR climate model, released in 2019, includes the following components: atmos: IFS cy36r4 (TL159, linearly reduced Gaussian grid equivalent to 320 x 160 longitude/latitude; 62 levels; top level 5 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), 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: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
relatedIdentifier:
DOI 10.1017/9781009157896 DOI 10.1017/9781009157896.005 DOI 10.1017/9781009157896.006 DOI 10.1017/9781009157896.010 DOI 10.1017/9781009157896.011 DOI 10.1017/9781009157896.012 DOI 10.1017/9781009157896.013 DOI 10.1017/9781009157896.021 DOI 10.1088/1748-9326/ac7eda DOI 10.22033/ESGF/CMIP6.728 DOI 10.26050/WDCC/AR6.C6SPEEEVLs119 DOI 10.26050/WDCC/AR6.C6SPEEEVLs126 DOI 10.26050/WDCC/AR6.C6SPEEEVLs245 DOI 10.26050/WDCC/AR6.C6SPEEEVLs370 DOI 10.26050/WDCC/AR6.C6SPEEEVLs585 DOI 10.5194/gmd-2020-446
Lizenz:
  • CC BY 4.0
Quellsystem:
Forschungsdaten DKRZ

Interne Metadaten
Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_3950238_20230807