DOI for 'CMIP6.ScenarioMIP.MRI.MRI-ESM2-0'
doi:10.22033/ESGF/CMIP6.638
- Name
- CMIP6.ScenarioMIP.MRI.MRI-ESM2-0
- Abstract
- 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. - Subjects
- CMIP6.ScenarioMIP.MRI.MRI-ESM2-0 (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. Version YYYYMMDD[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.638
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
Related Data
MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP ssp119
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) | - | - |
References The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Component. YUKIMOTO, Seiji; KAWAI, Hideaki; KOSHIRO, Tsuyoshi; OSHIMA, Naga; YOSHIDA, Kohei; URAKAWA, Shogo; TSUJINO, Hiroyuki; DEUSHI, Makoto; TANAKA, Taichu; HOSAKA, Masahiro; YABU, Shokichi; YOSHIMURA, Hiromasa; SHINDO, Eiki; MIZUTA, Ryo; OBATA, Atsushi; ADACHI, Yukimasa; ISHII, Masayoshi. DOI:10.2151/jmsj.2019-051
IsSourceOf ISIMIP3b bias-adjusted atmospheric climate input data. Lange, Stefan; Büchner, Matthias. DOI:10.48364/isimip.842396.1
IsSourceOf ISIMIP3b bias-adjusted atmospheric climate input data. Lange, Stefan; Büchner, Matthias. DOI:10.48364/isimip.842396
IsSourceOf Secondary ISIMIP3b bias-adjusted atmospheric climate input data. Lange, Stefan; Büchner, Matthias. DOI:10.48364/isimip.581124.1
IsSourceOf Secondary ISIMIP3b bias-adjusted atmospheric climate input data. Lange, Stefan; Büchner, Matthias. DOI:10.48364/isimip.581124
IsCitedBy Ocean, Cryosphere and Sea Level 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.)]. Fox-Kemper, B.; Hewitt, H.T.; Xiao, C.; Aðalgeirsdóttir, G.; Drijfhout, S.S.; Edwards, T.L.; Golledge, N.R.; Hemer, M.; Kopp, R.E.; Krinner, G.; Mix, A.; Notz, D.; Nowicki, S.; Nurhati, I.S.; Ruiz, L.; Sallée, J.-B.; Slangen, A.B.A.; Yu, Y.. DOI:10.1017/9781009157896.011
IsCitedBy Future Global Climate: Scenario-Based Projections and Near-Term Information. 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.)]. Lee, J.-Y.; Marotzke, J.; Bala, G.; Cao, L.; Corti, S.; Dunne, J.P.; Engelbrecht, F.; Fischer, E.; Fyfe, J.C; Jones, C.; Maycock, A.; Mutemi, J.; Ndiaye, O.; Panickal, S.; Zhou,T.. DOI:10.1017/9781009157896.006
IsCitedBy Human Influence on the Climate System. 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.)]. Eyring, V.; Gillett, N.P.; Achuta Rao, K.M.; Barimalala, R.; Barreiro Parrillo, M.; Bellouin, N.; Cassou, C.; Durack, P.J.; Kosaka, Y.; McGregor, S.; Min, S.; Morgenstern, O.; Sun, Y.. DOI:10.1017/9781009157896.005
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
IsCitedBy Weather and Climate Extreme Events in a Changing Climate. 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.)]. Seneviratne, S.I.; Zhang, X.; Adnan, M.; Badi, W.; Dereczynski, C.; Di Luca, A.; Ghosh, S.; Iskandar, I.; Kossin, J.; Lewis, S.; Otto, F.; Pinto, I.; Satoh, M.; Vicente-Serrano, S.M.; Wehner, M.; Zhou, B.. DOI:10.1017/9781009157896.013
IsCitedBy Atlas. 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.)]. Gutiérrez, J.M.; Jones, R.G.; Narisma, G.T.; Alves, L.M.; Amjad, M.; Gorodetskaya, I.V.; Grose, M.; Klutse, N.A.B.; Krakovska, S.; Li, J.; Martínez-Castro, D.; Mearns, L.O.; Mernild, S.H.; Ngo-Duc, T.; van den Hurk, B.; Yoon, J.-H.. DOI:10.1017/9781009157896.021
IsCitedBy 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.)]. Intergovernmental Panel on Climate Change (IPCC). DOI:10.1017/9781009157896
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IsReferencedBy A dependent multimodel approach to climate prediction with Gaussian processes. Thompson, Marten; Braverman, Amy; Chatterjee, Snigdhansu. DOI:10.1017/eds.2022.24
IsReferencedBy Predicting the Effects of Climate Change on Dengue Vector Densities in Southeast Asia through Process-Based Modeling. Bonnin, Lucas; Tran, Annelise; Herbreteau, Vincent; Marcombe, Sébastien; Boyer, Sébastien; Mangeas, Morgan; Menkes, Christophe. DOI:10.1289/ehp11068
IsCitedBy Short-Lived Climate Forcers. 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.)]. Szopa, S.; Naik, V.; Adhikary, B.; Artaxo, P.; Berntsen, T.; Collins, W.D.; Fuzzi, S.; Gallardo, L.; Kiendler-Scharr, A.; Klimont, Z.; Liao, H.; Unger, N.; Zanis, P.. DOI:10.1017/9781009157896.008
IsCitedBy Water Cycle Changes. 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.)]. Douville, H.; Raghavan, K.; Renwick, J.; Allan, R.P.; Arias, P.A.; Barlow, M.; Cerezo-Mota, R.; Cherchi, A.; Gan, T.Y.; Gergis, J.; Jiang, D.; Khan, A.; Pokam Mba, W.; Rosenfeld, D.; Tierney, J.; Zolina, O.. DOI:10.1017/9781009157896.010
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IsRelatedTo Anthropogenic aerosol and cryosphere changes drive Earth’s strong but transient clear-sky hemispheric albedo asymmetry. Diamond, Michael S.; Gristey, Jake J.; Kay, Jennifer E.; Feingold, Graham. DOI:10.1038/s43247-022-00546-y
IsRelatedTo Secondary ISIMIP3b bias-adjusted atmospheric climate input data. Lange, Stefan; Quesada-Chacón, Dánnell; Büchner, Matthias. DOI:10.48364/isimip.581124.2
IsReferencedBy Climate change projections in Guatemala: temperature and precipitation changes according to CMIP6 models. Rivera, Paris. DOI:10.1007/s40808-023-01881-5
IsReferencedBy An ensemble of bias-adjusted CMIP6 climate simulations based on a high-resolution North American reanalysis. Lavoie, Juliette; Bourgault, Pascal; Smith, Trevor James; Logan, Travis; Leduc, Martin; Caron, Louis-Philippe; Gammon, Sarah; Braun, Marco. DOI:10.1038/s41597-023-02855-z
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IsReferencedBy Earth s Future - 2021 - Marvel - Projected Changes to Hydroclimate Seasonality in the Continental United States.pdf. :unav. DOI:10.7916/zz52-w961
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Mitigation for Soil Moisture Drought in Southwestern
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