MIROC MIROC6 model output prepared for CMIP6 ScenarioMIP

Link:
Autor/in:
Beteiligte Personen:
  • Shiogama, Hideo
  • Tatebe, Hiroaki
  • Ogura, Tomoo
  • Nitta, Tomoko
  • Komuro, Yoshiki
  • Ogochi, Koji
  • Takemura, Toshihiko
  • Sudo, Kengo
  • Sekiguchi, Miho
  • Abe, Manabu
  • Saito, Fuyuki
  • Chikira, Minoru
  • Watanabe, Shingo
  • Mori, Masato
  • Hirota, Nagio
  • Kawatani, Yoshio
  • Mochizuki, Takashi
  • Yoshimura, Kei
  • Takata, Kumiko
  • O'ishi, Ryouta
  • Yamazaki, Dai
  • Suzuki, Tatsuo
  • Kurogi, Masao
  • Kataoka, Takahito
  • Watanabe, Masahiro
  • Kimoto, Masahide
Verlag/Körperschaft:
Earth System Grid Federation
Erscheinungsjahr:
2019
Medientyp:
Datensatz
Schlagworte:
  • CMIP6
  • climate
  • CMIP6.ScenarioMIP.MIROC.MIROC6
Beschreibung:
  • Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.MIROC.MIROC6' 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 MIROC6 climate model, released in 2017, includes the following components: aerosol: SPRINTARS6.0, atmos: CCSR AGCM (T85; 256 x 128 longitude/latitude; 81 levels; top level 0.004 hPa), land: MATSIRO6.0, ocean: COCO4.9 (tripolar primarily 1deg; 360 x 256 longitude/latitude; 63 levels; top grid cell 0-2 m), seaIce: COCO4.9. The model was run by the JAMSTEC (Japan Agency for Marine-Earth Science and Technology, Kanagawa 236-0001, Japan), AORI (Atmosphere and Ocean Research Institute, The University of Tokyo, Chiba 277-8564, Japan), NIES (National Institute for Environmental Studies, Ibaraki 305-8506, Japan), and R-CCS (RIKEN Center for Computational Science, Hyogo 650-0047, Japan) (MIROC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 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/CMIP6.5741 DOI 10.22033/ESGF/CMIP6.5743 DOI 10.22033/ESGF/CMIP6.5746 DOI 10.22033/ESGF/CMIP6.5752 DOI 10.22033/ESGF/CMIP6.5764 DOI 10.22033/ESGF/CMIP6.5766 DOI 10.22033/ESGF/CMIP6.5768 DOI 10.22033/ESGF/CMIP6.5771 DOI 10.1007/s00382-023-06871-y DOI 10.1007/s00704-021-03763-1 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 10.1029/2022jd037382 DOI 10.1038/s43247-022-00546-y DOI 10.1080/02626667.2023.2245815 DOI 10.1098/rsos.220967 DOI 10.48364/isimip.581124.2 DOI 10.48364/isimip.581124.3 DOI 10.5281/zenodo.7764928 DOI 10.5281/zenodo.7764929 DOI 10.1002/essoar.10510318.1 DOI 10.1007/s00382-022-06216-1 DOI 10.1007/s00382-022-06323-z DOI 10.1007/s00382-022-06436-5 DOI 10.1007/s00382-022-06535-3 DOI 10.1007/s00477-024-02680-9 DOI 10.1007/s10530-023-03016-4 DOI 10.1007/s10661-023-12187-5 DOI 10.1007/s40808-023-01881-5 DOI 10.1029/2021EF002014 DOI 10.1029/2021ef002014 DOI 10.1029/2022jd036562 DOI 10.1038/s41558-020-00943-1 DOI 10.1038/s41558-020-00957-9 DOI 10.1038/s41560-022-01056-z DOI 10.1038/s41597-023-02290-0 DOI 10.1038/s41597-023-02337-2 DOI 10.1038/s43247-022-00354-4 DOI 10.1038/s43247-024-01282-1 DOI 10.1038/s43247-024-01565-7 DOI 10.1088/1748-9326/ac3288 DOI 10.1111/geoj.12458 DOI 10.1126/sciadv.abm6860 DOI 10.1126/sciadv.adf8119 DOI 10.1186/s12870-024-04938-4 DOI 10.1186/s40623-022-01636-z DOI 10.1289/ehp11068 DOI 10.1289/ehp12080 DOI 10.2139/ssrn.4217321 DOI 10.22541/essoar.167078790.00035564/v1 DOI 10.31223/x5sw3n DOI 10.3389/feart.2022.765304 DOI 10.3389/fpls.2022.1040752 DOI 10.3390/agronomy11081590 DOI 10.3390/agronomy12123172 DOI 10.3390/atmos12111440 DOI 10.3390/atmos15010139 DOI 10.3390/cli11050111 DOI 10.3390/f14010087 DOI 10.3390/f14030592 DOI 10.3390/plants13020222 DOI 10.3390/su14095494 DOI 10.3390/su15043147 DOI 10.3390/w15193345 DOI 10.3390/w15223986 DOI 10.5194/egusphere-2022-568 DOI 10.5194/esd-12-1061-2021 DOI 10.5194/esd-14-81-2023 DOI 10.5194/esd-2021-43 DOI 10.5194/esd-2021-43-ac1 DOI 10.5194/esd-2021-43-ac2 DOI 10.7916/m79w-wc11 DOI 10.48364/isimip.581124 DOI 10.48364/isimip.581124.1 DOI 10.5194/gmd-12-2727-2019 DOI 10.5194/gmd-2018-155
Lizenz:
  • CC BY 4.0
Quellsystem:
Forschungsdaten DKRZ

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Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_CMIP6_ScenarioMIP_MIROC_MIROC6