WCRP CMIP6 ScenarioMIP MRI MRI-ESM2-0

Yukimoto, Seiji et al.

Experiment
Summary
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.

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.
Project
CMIP6 (WCRP 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
2015-01-16 to 2300-12-16 (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
24.56 TiB (27002308058358 Byte)
Format
NetCDF
Status
metadata only
Creation Date
Future Review Date
2033-06-12
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). MRI MRI-ESM2.0 model output prepared for CMIP6 ScenarioMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_5254341

BibTeX RIS
Description
as consistent as the model(s) MRI-ESM2-0
Contact typePersonORCIDOrganization
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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. doi:10.22033/ESGF/CMIP6.638

Is referenced by

[1] DOI McKenna, Christine M.; Maycock, Amanda C.; Forster, Piers M.; Smith, Christopher J.; Tokarska, Katarzyna B. (2020). Stringent mitigation substantially reduces risk of unprecedented near-term warming rates. doi:10.1038/s41558-020-00957-9
[2] DOI Turnock, Steven T.; Allen, Robert J.; Andrews, Martin; Bauer, Susanne E.; Deushi, Makoto; Emmons, Louisa; Good, Peter; Horowitz, Larry; John, Jasmin G.; Michou, Martine; Nabat, Pierre; Naik, Vaishali; Neubauer, David; O'Connor, Fiona M.; Olivié, Dirk; Oshima, Naga; Schulz, Michael; Sellar, Alistair; Shim, Sungbo; Takemura, Toshihiko; Tilmes, Simone; Tsigaridis, Kostas; Wu, Tongwen; Zhang, Jie. (2020). Historical and future changes in air pollutants from CMIP6 models. doi:10.5194/acp-20-14547-2020
[3] DOI Zhang, Kequan; Duan, Jiakang; Zhao, Siyi; Zhang, Jiankai; Keeble, James; Liu, Hongwen. (2021). Evaluating the Ozone Valley over the Tibetan Plateau in CMIP6 Models. doi:10.1007/s00376-021-0442-2
[4] DOI Lalande, Mickaël; Ménégoz, Martin; Krinner, Gerhard; Naegeli, Kathrin; Wunderle, Stefan. (2021). Climate change in the High Mountain Asia in CMIP6. doi:10.5194/esd-2021-43
[5] DOI Grise, Kevin M. (2022). Atmospheric Circulation Constraints on 21st Century Seasonal Precipitation Storylines for the Southwestern United States. doi:10.1029/2022gl099443

References

[1] DOI 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. (2019). The Meteorological Research Institute Earth System Model Version 2.0, MRI-ESM2.0: Description and Basic Evaluation of the Physical Component. doi:10.2151/jmsj.2019-051

Is source of

[1] DOI Lange, Stefan; Büchner, Matthias. (2021). ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.842396.1
[2] DOI Lange, Stefan; Büchner, Matthias. (2021). ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.842396
[3] DOI Lange, Stefan; Büchner, Matthias. (2022). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124.1
[4] DOI Lange, Stefan; Büchner, Matthias. (2022). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124

Attached Dataset Groups ( 8 )

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[Entry acronym: C6_5254341] [Entry id: 5254341]