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DOI for 'CMIP6.ScenarioMIP.MRI.MRI-ESM2-0.ssp245'

doi:10.22033/ESGF/CMIP6.6910

Name
CMIP6.ScenarioMIP.MRI.MRI-ESM2-0.ssp245
Abstract
Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets.
These data include all datasets published for 'CMIP6.ScenarioMIP.MRI.MRI-ESM2-0.ssp245' 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.ssp245 (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, Tsuyoshi
 tkoshiro@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 ssp245. Version YYYYMMDD[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.6910

BibTeX RIS
[1] Please use the latest dataset version or if not available the latest data download date as version in your data citation.

Data Access

https://esgf-data.dkrz.de/search/cmip6-dkrz/?mip_era=CMIP6&activity_id=ScenarioMIP&institution_id=MRI&source_id=MRI-ESM2-0&experiment_id=ssp245
http://esgf-node.llnl.gov/search/cmip6/?mip_era=CMIP6&activity_id=ScenarioMIP&institution_id=MRI&source_id=MRI-ESM2-0&experiment_id=ssp245

Related Data

MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP
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#NamePIDAffiliation
1Yukimoto, Seiji-Meteorological Research Institute
2Koshiro, Tsuyoshi 0000-0003-2971-7446Meteorological Research Institute
3Kawai, Hideaki-Meteorological Research Institute
4Oshima, Naga 0000-0002-8451-2411Meteorological Research Institute
5Yoshida, Kohei-Meteorological Research Institute
6Urakawa, Shogo-Meteorological Research Institute
7Tsujino, Hiroyuki 0000-0003-3336-0275Meteorological Research Institute
8Deushi, Makoto 0000-0002-0373-3918Meteorological Research Institute
9Tanaka, Taichu-Meteorological Research Institute
10Hosaka, Masahiro-Meteorological Research Institute
11Yoshimura, Hiromasa-Meteorological Research Institute
12Shindo, Eiki-Meteorological Research Institute
13Mizuta, Ryo-Meteorological Research Institute
14Ishii, Masayoshi-Meteorological Research Institute
15Obata, Atsushi-Meteorological Research Institute
16Adachi, Yukimasa-Meteorological Research Institute
#NamePIDAffiliation
1Meteorological Research Institute (MRI)--
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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
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