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

Link:
Autor/in:
Beteiligte Personen:
  • Yukimoto, Seiji
  • Koshiro, Tsuyoshi
  • Oshima, Naga
  • Deushi, Makoto
  • Yoshida, Kohei
  • Meteorological Research Institute (MRI)
Verlag/Körperschaft:
Earth System Grid Federation
Erscheinungsjahr:
2019
Medientyp:
Datensatz
Schlagworte:
  • CMIP6
  • climate
  • CMIP6.DAMIP.MRI.MRI-ESM2-0
Beschreibung:
  • Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.DAMIP.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/CMIP6.17523 DOI 10.22033/ESGF/CMIP6.17524 DOI 10.22033/ESGF/CMIP6.17525 DOI 10.22033/ESGF/CMIP6.17526 DOI 10.22033/ESGF/CMIP6.6820 DOI 10.22033/ESGF/CMIP6.6821 DOI 10.22033/ESGF/CMIP6.6825 DOI 10.22033/ESGF/CMIP6.6830 DOI 10.22033/ESGF/CMIP6.6833 DOI 10.22033/ESGF/CMIP6.6834 DOI 10.1007/s00382-022-06403-0 DOI 10.1007/s00382-022-06436-5 DOI 10.1016/j.advwatres.2020.103837 DOI 10.1017/9781009157896 DOI 10.1017/9781009157896.005 DOI 10.1017/9781009157896.008 DOI 10.1017/9781009157896.010 DOI 10.1017/9781009157896.011 DOI 10.1017/9781009157896.012 DOI 10.1038/s41597-023-02290-0 DOI 10.1038/s41598-023-33921-6 DOI 10.1088/1748-9326/ab57a3 DOI 10.1109/jstars.2023.3310617 DOI 10.1186/s40623-022-01636-z DOI 10.1186/s40645-020-00348-w DOI 10.21203/rs.3.rs-2544766/v1 DOI 10.3390/rs14102330 DOI 10.48364/isimip.581124.2 DOI 10.48364/isimip.581124.3 DOI 10.5194/tc-14-3155-2020 DOI 10.1002/essoar.10507571.1 DOI 10.1002/essoar.10510318.1 DOI 10.1002/essoar.10512730.1 DOI 10.1002/joc.7098 DOI 10.1002/joc.7207 DOI 10.1007/s00376-021-0442-2 DOI 10.1007/s00382-021-05929-z DOI 10.1007/s00382-021-05942-2 DOI 10.1007/s00382-023-06871-y DOI 10.1007/s00382-023-06930-4 DOI 10.1007/s00477-022-02269-0 DOI 10.1007/s00704-023-04701-z DOI 10.1007/s00704-024-05198-w DOI 10.1007/s40808-023-01848-6 DOI 10.1007/s41748-022-00333-x DOI 10.1016/j.dib.2024.110709 DOI 10.1016/j.gloenvcha.2022.102604 DOI 10.1029/2019EF001461 DOI 10.1029/2019ef001461 DOI 10.1029/2021ef002150 DOI 10.1029/2021jd035483 DOI 10.1029/2022JG007243 DOI 10.1029/2022jd036562 DOI 10.1029/2022wr033618 DOI 10.1029/2023jd038906 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/s41598-023-38602-y DOI 10.1038/s41612-021-00218-2 DOI 10.1038/s43247-024-01565-7 DOI 10.1088/1748-9326/ac417d DOI 10.1111/nyas.14337 DOI 10.1126/sciadv.abo2405 DOI 10.1175/jcli-d-20-0970.1 DOI 10.1289/ehp12080 DOI 10.14295/derb.v43.774 DOI 10.20944/preprints202012.0782.v1 DOI 10.20944/preprints202102.0111.v1 DOI 10.21203/rs.3.rs-1479406/v1 DOI 10.21203/rs.3.rs-1903026/v1 DOI 10.21203/rs.3.rs-2196055/v1 DOI 10.22541/essoar.167458065.54814300/v2 DOI 10.22541/essoar.168275876.64237989/v1 DOI 10.3389/feart.2022.918337 DOI 10.3389/feart.2023.1283171 DOI 10.3389/fenvs.2024.1294446 DOI 10.3390/atmos12010112 DOI 10.3390/atmos12111440 DOI 10.3390/atmos13010012 DOI 10.3390/atmos13020150 DOI 10.3390/cli11050111 DOI 10.3390/f13122030 DOI 10.3390/w15193482 DOI 10.5194/acp-2021-206-ac1 DOI 10.5194/acp-2021-206-rc2 DOI 10.5194/acp-24-7837-2024 DOI 10.5194/cp-19-2445-2023 DOI 10.5194/egusphere-2022-811-ac1 DOI 10.5194/egusphere-2022-811-ac2 DOI 10.5194/egusphere-2023-2427-rc1 DOI 10.5194/egusphere-2023-2571-ac2 DOI 10.5194/egusphere-2023-868 DOI 10.5194/egusphere-2023-868-rc2 DOI 10.5194/egusphere-egu24-12936 DOI 10.5194/ems2022-447 DOI 10.5194/esd-15-735-2024 DOI 10.5194/esd-2022-12 DOI 10.5194/hess-2024-26 DOI 10.5194/tc-16-1007-2022 DOI 10.7916/dzbv-zs62 DOI 10.7916/k1h7-mm35 DOI 10.1016/j.ocemod.2020.101693 DOI 10.2151/jmsj.2019-051 DOI 10.5194/gmd-12-2875-2019 DOI 10.5194/gmd-2019-23
Lizenz:
  • CC BY 4.0
Quellsystem:
Forschungsdaten DKRZ

Interne Metadaten
Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_CMIP6_DAMIP_MRI_MRI-ESM2-0