DOI for 'CMIP6.ScenarioMIP.MRI.MRI-ESM2-0.ssp585'
doi:10.22033/ESGF/CMIP6.6929
- Name
- CMIP6.ScenarioMIP.MRI.MRI-ESM2-0.ssp585
- Abstract
- Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets.
These data include all datasets published for 'CMIP6.ScenarioMIP.MRI.MRI-ESM2-0.ssp585' 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. - Subjects
- CMIP6.ScenarioMIP.MRI.MRI-ESM2-0.ssp585 (DRS: http://github.com/WCRP-CMIP/CMIP6_CVs)
CMIP6
climate - Rights
- Creative Commons Attribution 4.0 International License (CC BY 4.0)
- License
- CMIP6 model data is evolving, new versions are added when datasets are changed or additions are made. Cite this data collection according to the Data Citation Guidelines (http://bit.ly/2gBCuqM) and be sure to include the version number (e.g. v20210101). Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated. - Here is the history of licenses governing these datasets: 2019-02-22: initially published under CC BY-SA 4.0; 2022-08-07: relaxed to CC BY 4.0
- Contacts
- Yukimoto, Seiji yukimoto@nullmri-jma.go.jp
Koshiro, Tsuyoshitkoshiro@nullmri-jma.go.jp
- Cite as
- 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; Obata, Atsushi; Adachi, Yukimasa (2019). MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP ssp585. Version YYYYMMDD[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6929
BibTeX RIS
Data Access
http://esgf-node.llnl.gov/search/cmip6/?mip_era=CMIP6&activity_id=ScenarioMIP&institution_id=MRI&source_id=MRI-ESM2-0&experiment_id=ssp585
Related Data
MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP
Metadata Export
| # | Name | PID | Affiliation |
|---|---|---|---|
| 1 | Yukimoto, Seiji | - | Meteorological Research Institute |
| 2 | Koshiro, Tsuyoshi | 0000-0003-2971-7446 | Meteorological Research Institute |
| 3 | Kawai, Hideaki | - | Meteorological Research Institute |
| 4 | Oshima, Naga | 0000-0002-8451-2411 | Meteorological Research Institute |
| 5 | Yoshida, Kohei | - | Meteorological Research Institute |
| 6 | Urakawa, Shogo | - | Meteorological Research Institute |
| 7 | Tsujino, Hiroyuki | 0000-0003-3336-0275 | Meteorological Research Institute |
| 8 | Deushi, Makoto | 0000-0002-0373-3918 | Meteorological Research Institute |
| 9 | Tanaka, Taichu | - | Meteorological Research Institute |
| 10 | Hosaka, Masahiro | - | Meteorological Research Institute |
| 11 | Yoshimura, Hiromasa | - | Meteorological Research Institute |
| 12 | Shindo, Eiki | - | Meteorological Research Institute |
| 13 | Mizuta, Ryo | - | Meteorological Research Institute |
| 14 | Ishii, Masayoshi | - | Meteorological Research Institute |
| 15 | Obata, Atsushi | - | Meteorological Research Institute |
| 16 | Adachi, Yukimasa | - | Meteorological Research Institute |
| # | Name | PID | Affiliation |
|---|---|---|---|
| 1 | Meteorological Research Institute (MRI) | - | - |
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IsCitedBy Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Doblas-Reyes, F.J.; Sörensson, A.A.; Almazroui, M.; Dosio, A.; Gutowski, W.J.; Haarsma, R.; Hamdi, R.; Hewitson, B.; Kwon, W.-T.; Lamptey, B.L.; Maraun, D.; Stephenson, T.S.; Takayabu, I.; Terray, L.; Turner, A.; Zuo, Z.. DOI:10.1017/9781009157896.012
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