NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP

Link:
Autor/in:
Beteiligte Person:
  • contact, GFDL Climate Model Info
Verlag/Körperschaft:
Earth System Grid Federation
Erscheinungsjahr:
2018
Medientyp:
Datensatz
Schlagworte:
  • CMIP6
  • climate
  • CMIP6.ScenarioMIP.NOAA-GFDL.GFDL-ESM4
Beschreibung:
  • Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.NOAA-GFDL.GFDL-ESM4' 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 GFDL-ESM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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 10.22033/ESGF/CMIP6.8683 DOI 10.22033/ESGF/CMIP6.8684 DOI 10.22033/ESGF/CMIP6.8686 DOI 10.22033/ESGF/CMIP6.8691 DOI 10.22033/ESGF/CMIP6.8706 DOI 10.1007/s11027-024-10105-9 DOI 10.1017/9781009157896 DOI 10.1017/9781009157896.005 DOI 10.1017/9781009157896.006 DOI 10.1017/9781009157896.007 DOI 10.1017/9781009157896.008 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 10.1088/2752-5295/acf4b7 DOI 10.48364/isimip.575744.3 DOI 10.48364/isimip.581124.2 DOI 10.48364/isimip.581124.3 DOI 10.5194/acp-2019-1202 DOI 10.5194/bg-18-2221-2021 DOI 10.5281/zenodo.7764928 DOI 10.5281/zenodo.7764929 DOI 10.1002/joc.7641 DOI 10.1007/s00376-021-0442-2 DOI 10.1007/s00704-023-04821-6 DOI 10.1007/s13351-022-1202-7 DOI 10.1007/s43630-024-00594-7 DOI 10.1029/2019ms002026 DOI 10.1029/2021gl092449 DOI 10.1029/2022ef002878 DOI 10.1038/s41558-020-00957-9 DOI 10.1038/s41597-023-02337-2 DOI 10.1038/s41598-022-26513-3 DOI 10.1038/s41893-022-00976-8 DOI 10.1038/s43247-022-00419-4 DOI 10.1038/s43247-024-01565-7 DOI 10.1088/1748-9326/abe06b DOI 10.1289/ehp11068 DOI 10.1289/ehp12080 DOI 10.22541/essoar.167078790.00035564/v1 DOI 10.3389/fpls.2022.1040752 DOI 10.3390/atmos15010139 DOI 10.3390/f14010087 DOI 10.3390/su14095494 DOI 10.3390/su15043147 DOI 10.3390/su16041468 DOI 10.3390/w15223986 DOI 10.3929/ethz-b-000478110 DOI 10.5194/acp-20-14547-2020 DOI 10.5194/acp-20-9641-2020 DOI 10.5194/acp-2019-1211 DOI 10.5194/acp-2019-1216 DOI 10.5194/acp-21-4187-2021 DOI 10.5194/acp-21-5015-2021 DOI 10.5194/bg-17-3439-2020 DOI 10.5194/bg-18-3657-2021 DOI 10.5194/bg-2020-110-ac1 DOI 10.5194/bg-2020-16 DOI 10.5194/bg-2020-456 DOI 10.5194/bg-2021-80 DOI 10.5194/bg-2021-80-ac2 DOI 10.5194/bg-2021-80-rc2 DOI 10.5194/egusphere-egu21-7937 DOI 10.5194/hess-27-3999-2023 DOI 10.48364/isimip.575744 DOI 10.48364/isimip.575744.1 DOI 10.48364/isimip.575744.2 DOI 10.48364/isimip.581124 DOI 10.48364/isimip.581124.1 DOI 10.48364/isimip.842396 DOI 10.48364/isimip.842396.1 DOI 10.1002/essoar.10503850.1 DOI 10.1029/2019MS001726 DOI 10.1029/2019MS002015 DOI 10.1029/2019MS002032 DOI 10.1029/2019MS002043 DOI 10.48350/153159
Lizenz:
  • CC BY 4.0
Quellsystem:
Forschungsdaten DKRZ

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Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_CMIP6_ScenarioMIP_NOAA-GFDL_GFDL-ESM4