MRI MRI-ESM2.0 model output prepared for CMIP6 CMIP historical

Link:
Autor/in:
Beteiligte Personen:
  • Yukimoto, Seiji
  • Koshiro, Tsuyoshi
  • Kawai, Hideaki
  • Oshima, Naga
  • Yoshida, Kohei
  • Urakawa, Shogo
  • Tsujino, Hiroyuki
  • Deushi, Makoto
  • Tanaka, Taichu
  • Hosaka, Masahiro
  • Yoshimura, Hiromasa
  • Shindo, Eiki
  • Mizuta, Ryo
  • Ishii, Masayoshi
  • Adachi, Yukimasa
  • Meteorological Research Institute (MRI)
Verlag/Körperschaft:
Earth System Grid Federation
Erscheinungsjahr:
2019
Medientyp:
Datensatz
Schlagworte:
  • CMIP6
  • climate
  • CMIP6.CMIP.MRI.MRI-ESM2-0.historical
Beschreibung:
  • Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.MRI.MRI-ESM2-0.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 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 10.1007/978-3-031-21086-0_16 DOI 10.1007/s00382-023-06930-4 DOI 10.1007/s00477-022-02269-0 DOI 10.1007/s00704-023-04430-3 DOI 10.1007/s00704-023-04565-3 DOI 10.1007/s41748-022-00333-x DOI 10.1016/j.atmosres.2021.105509 DOI 10.1016/j.scitotenv.2020.140605 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 10.1029/2022jg007243 DOI 10.1029/2022wr033618 DOI 10.1029/2023ea002823 DOI 10.1038/s43247-022-00546-y DOI 10.1088/1748-9326/acc6df DOI 10.31223/x5035b DOI 10.22033/ESGF/CMIP6.621 DOI 10.1002/essoar.10512730.1 DOI 10.1002/joc.7098 DOI 10.1007/s00376-021-0442-2 DOI 10.1007/s00382-021-05942-2 DOI 10.1007/s00382-022-06323-z DOI 10.1007/s00382-023-06871-y DOI 10.1007/s00382-023-06993-3 DOI 10.1007/s00704-022-04106-4 DOI 10.1007/s00704-023-04701-z DOI 10.1007/s00704-024-04869-y DOI 10.1007/s13351-022-1202-7 DOI 10.1016/j.agrformet.2022.108914 DOI 10.1029/2019gl086075 DOI 10.1029/2021jd035483 DOI 10.1029/2022JG007243 DOI 10.1029/2022ef002878 DOI 10.1029/2022jd036452 DOI 10.1029/2022jd037123 DOI 10.1029/2023jd038906 DOI 10.1038/s41467-021-25257-4 DOI 10.1038/s41558-020-00943-1 DOI 10.1038/s41597-023-02337-2 DOI 10.1038/s41598-022-26513-3 DOI 10.1038/s41598-023-38602-y DOI 10.1038/s43247-024-01565-7 DOI 10.1088/1748-9326/abed7a DOI 10.1111/fog.12599 DOI 10.1126/sciadv.abo2405 DOI 10.1126/science.aaz3658 DOI 10.1175/jcli-d-20-0970.1 DOI 10.1175/jcli-d-21-0177.1 DOI 10.1175/jcli-d-21-0386.1 DOI 10.1289/ehp12080 DOI 10.20944/preprints202012.0782.v1 DOI 10.20944/preprints202307.0373.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 10.21203/rs.3.rs-2983877/v1 DOI 10.21203/rs.3.rs-894721/v1 DOI 10.22541/essoar.167458065.54814300/v2 DOI 10.22541/essoar.168275876.64237989/v1 DOI 10.3289/oceannets_d4.4 DOI 10.3389/feart.2022.765304 DOI 10.3390/atmos12010042 DOI 10.3390/atmos13010012 DOI 10.3390/atmos14091380 DOI 10.3390/atmos15010139 DOI 10.3390/cli11050111 DOI 10.3390/cli11080166 DOI 10.3390/w15193482 DOI 10.5194/acp-20-14547-2020 DOI 10.5194/acp-2021-206 DOI 10.5194/acp-2021-206-ac1 DOI 10.5194/acp-2021-206-ac2 DOI 10.5194/acp-2021-206-ac3 DOI 10.5194/acp-2021-206-rc2 DOI 10.5194/acp-21-13571-2021 DOI 10.5194/bg-17-3439-2020 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-12-1061-2021 DOI 10.5194/esd-13-1097-2022 DOI 10.5194/esd-2021-43 DOI 10.5194/esd-2022-12 DOI 10.5194/tc-14-3155-2020 DOI 10.5194/tc-16-1007-2022 DOI 10.6084/m9.figshare.24100547.v1 DOI 10.7916/dzbv-zs62
Lizenz:
  • CC BY 4.0
Quellsystem:
Forschungsdaten DKRZ

Interne Metadaten
Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_CMIP6_CMIP_MRI_MRI-ESM2-0_historical