MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP

Link:
Autor/in:
Beteiligte Personen:
  • Yukimoto, Seiji
  • Koshiro, Tsuyoshi
  • Meteorological Research Institute (MRI)
Verlag/Körperschaft:
Earth System Grid Federation
Erscheinungsjahr:
2019
Medientyp:
Datensatz
Schlagworte:
  • CMIP6
  • climate
  • CMIP6.ScenarioMIP.MRI.MRI-ESM2-0
Beschreibung:
  • Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.MRI.MRI-ESM2-0' 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 MRI-ESM2.0 climate model, released in 2017, includes the following components: aerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4. The model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, 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 10.22033/ESGF/CMIP6.6908 DOI 10.22033/ESGF/CMIP6.6909 DOI 10.22033/ESGF/CMIP6.6910 DOI 10.22033/ESGF/CMIP6.6915 DOI 10.22033/ESGF/CMIP6.6925 DOI 10.22033/ESGF/CMIP6.6926 DOI 10.22033/ESGF/CMIP6.6927 DOI 10.22033/ESGF/CMIP6.6929 DOI 10.1007/978-3-031-21086-0_16 DOI 10.1016/j.enconman.2023.117231 DOI 10.1017/9781009157896 DOI 10.1017/9781009157896.005 DOI 10.1017/9781009157896.006 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 10.1017/jog.2023.19 DOI 10.1029/2022ef003161 DOI 10.1038/s43247-022-00546-y DOI 10.1080/02626667.2023.2245815 DOI 10.1088/2752-5295/acf4b7 DOI 10.48364/isimip.581124.2 DOI 10.48364/isimip.581124.3 DOI 10.5194/esd-12-1061-2021 DOI 10.5281/zenodo.7764928 DOI 10.5281/zenodo.7764929 DOI 10.1002/essoar.10504170.1 DOI 10.1002/essoar.10504170.2 DOI 10.1007/s00376-021-0442-2 DOI 10.1007/s00382-022-06216-1 DOI 10.1007/s13351-022-1202-7 DOI 10.1007/s40808-023-01881-5 DOI 10.1007/s43630-024-00594-7 DOI 10.1017/eds.2022.24 DOI 10.1029/2021EF002014 DOI 10.1029/2021ef002014 DOI 10.1029/2021ef002019 DOI 10.1029/2022gl099443 DOI 10.1038/s41467-021-25257-4 DOI 10.1038/s41558-020-00943-1 DOI 10.1038/s41558-020-00957-9 DOI 10.1038/s41597-023-02337-2 DOI 10.1038/s41597-023-02855-z DOI 10.1038/s41598-022-26513-3 DOI 10.1126/sciadv.abo2405 DOI 10.1126/sciadv.adf8119 DOI 10.1289/ehp11068 DOI 10.1289/ehp12080 DOI 10.3389/fpls.2022.1040752 DOI 10.3390/atmos15010139 DOI 10.3390/cli11050111 DOI 10.3390/f14010087 DOI 10.3390/su15043147 DOI 10.3390/su16041468 DOI 10.5194/acp-20-14547-2020 DOI 10.5194/esd-2021-43 DOI 10.7916/m79w-wc11 DOI 10.7916/zz52-w961 DOI 10.48364/isimip.581124 DOI 10.48364/isimip.581124.1 DOI 10.48364/isimip.842396 DOI 10.48364/isimip.842396.1 DOI 10.2151/jmsj.2019-051
Lizenz:
  • CC BY 4.0
Quellsystem:
Forschungsdaten DKRZ

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Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_CMIP6_ScenarioMIP_MRI_MRI-ESM2-0