CMIP6 ScenarioMIP MRI MRI-ESM2-0 ssp585

doi:10.26050/WDCC/AR6.C6SPMRME0s585

Yukimoto, Seiji et al.

Dataset GroupDOI
Summary
These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF 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
IPCC-AR6_CMIP6 (Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets)
Contact
Dr. Seiji Yukimoto (
 yukimoto@nullmri-jma.go.jp
)

Dr. Tsuyoshi Koshiro (
 tkoshiro@nullmri-jma.go.jp
0000-0003-2971-7446)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
2015-01-01 to 2300-12-31 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
831.21 GiB (892504394020 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-01-20
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 (2023). IPCC DDC: MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP ssp585. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPMRME0s585

BibTeX RIS
Description
assessed by IPCC WGI AR6 authors
Method
IPCC Assessment
Method Description
The data was part of a formal IPCC assessment conducted by the IPCC authors.
Method Url
Description
All TQA checks were passed for CMIP6 ScenarioMIP MRI MRI-ESM2-0 ssp585.
Method
CMIP6-TQA Checks
Method Description
Checks performed by WDCC. CMIP6-TQA metrics are documented: https://redmine.dkrz.de/projects/cmip6-lta-and-data-citation/wiki/Quality_Checks
Method Url
Result Date
2023-06-23
Contact typePersonORCIDOrganization
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Cites

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[7] 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. (2021). Weather and Climate Extreme Events in a Changing Climate Supplementary Material. 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.)]. https://www.ipcc.ch/
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Is part of

[1] DOI 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. doi:10.22033/ESGF/CMIP6.6929
[2] DOI 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. (2023). IPCC DDC: MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP. doi:10.26050/WDCC/AR6.C6SPMRME0

Is referenced by

[1] DOI Kwiatkowski, Lester; Torres, Olivier; Bopp, Laurent; Aumont, Olivier; Chamberlain, Matthew; Christian, James R.; Dunne, John P.; Gehlen, Marion; Ilyina, Tatiana; John, Jasmin G.; Lenton, Andrew; Li, Hongmei; Lovenduski, Nicole S.; Orr, James C.; Palmieri, Julien; Santana-Falcón, Yeray; Schwinger, Jörg; Séférian, Roland; Stock, Charles A.; Tagliabue, Alessandro; Takano, Yohei; Tjiputra, Jerry; Toyama, Katsuya; Tsujino, Hiroyuki; Watanabe, Michio; Yamamoto, Akitomo; Yool, Andrew; Ziehn, Tilo. (2020). Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections. doi:10.5194/bg-17-3439-2020
[2] DOI O'Brien, Travis Allen; Wehner, Michael F; Payne, Ashley E.; Shields, Christine A; Rutz, Jonathan J.; Leung, L. Ruby; Ralph, F. Martin; Marquardt Collow, Allison B.; Guan, Bin; Lora, Juan Manuel; McClenny, Elizabeth; Nardi, Kyle M.; Ramos, Alexandre M.; Tomé, Ricardo; Sarangi, Chandan; Shearer, Eric Jay; Ullrich, Paul; Zarzycki, Colin M.; Loring, Burlen; Huang, Huanping; Inda Díaz, Héctor Alejandro; Rhoades, Alan M.; Zhou, Yang. (2020). Increases in Future AR Count and Size: Overview of the ARTMIP Tier 2 CMIP5/6 Experiment. doi:10.1002/essoar.10504170.1
[3] DOI Cai, Wenju; Yang, Kai; Wu, Lixin; Huang, Gang; Santoso, Agus; Ng, Benjamin; Wang, Guojian; Yamagata, Toshio. (2020). Opposite response of strong and moderate positive Indian Ocean Dipole to global warming. doi:10.1038/s41558-020-00943-1
[4] DOI Liu, Jingchen; Guan, Xiaodan; Gao, Zhaokui; Huang, Xiaoqian; Ma, Jieru; He, Yongli; Xie, Tiejun. (2021). Inter-decadal variability of the heat source over the Tibetan Plateau. doi:10.1007/s00382-021-05929-z
[5] DOI Wang, Shizhu; Wang, Qiang; Wang, Muyin; Lohmann, Gerrit; Qiao, Fangli. (2022). Arctic Ocean Freshwater in CMIP6 Coupled Models. doi:10.1029/2022ef002878
[6] DOI Langan, Joseph A.; Bell, Richard J.; Collie, Jeremy S. (2022). Taking stock: Is recovery of a depleted population possible in a changing climate?. doi:10.1111/fog.12599
[7] DOI Dahlke, Flemming T.; Wohlrab, Sylke; Butzin, Martin; Pörtner, Hans-Otto. (2020). Thermal bottlenecks in the life cycle define climate vulnerability of fish. doi:10.1126/science.aaz3658
[8] DOI Akinsanola, Akintomide Afolayan; Ogunjobi, Kehinde O; Abolude, Akintayo T; Salack, Seyni. (2021). Projected changes in wind speed and wind energy potential over West Africa in CMIP6 models. doi:10.1088/1748-9326/abed7a

Is related to

[1] DOI O'Brien, Travis Allen; Wehner, Michael F; Payne, Ashley E.; Shields, Christine A; Rutz, Jonathan J.; Leung, L. Ruby; Ralph, F. Martin; Marquardt Collow, Allison B.; Gorodetskaya, Irina; Guan, Bin; Lora, Juan Manuel; McClenny, Elizabeth; Nardi, Kyle M.; Ramos, Alexandre M.; Tomé, Ricardo; Sarangi, Chandan; Shearer, Eric Jay; Ullrich, Paul; Zarzycki, Colin M.; Loring, Burlen; Huang, Huanping; Inda Díaz, Héctor Alejandro; Rhoades, Alan M.; Zhou, Yang. (2021). Increases in Future AR Count and Size: Overview of the ARTMIP Tier 2 CMIP5/6 Experiment. doi:10.1002/essoar.10504170.2
[2] DOI Thompson, Marten; Braverman, Amy; Chatterjee, Snigdhansu. (2022). A dependent multimodel approach to climate prediction with Gaussian processes. doi:10.1017/eds.2022.24

Parent

CMIP6 ScenarioMIP MRI MRI-ESM2-0
Details

Attached Datasets ( 122 )

Details for selected entry
[Entry acronym: C6SPMRME0s585] [Entry id: 3963042]