WCRP CMIP6 CMIP MRI MRI-ESM2-0

Yukimoto, Seiji et al.

Experiment
Summary
These data include all datasets published for 'CMIP6.CMIP.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)

Dr. Hideaki Kawai (
 h-kawai@nullmri-jma.go.jp
)

Dr. Naga Oshima (
 oshima@nullmri-jma.go.jp
0000-0002-8451-2411)

Dr. Kohei Yoshida (
 kyoshida@nullmri-jma.go.jp
)

Dr. Shogo Urakawa (
 surakawa@nullmri-jma.go.jp
)

Hiroyuki Tsujino (
 htsujino@nullmri-jma.go.jp
0000-0003-3336-0275)

Makoto Deushi (
 mdeushi@nullmri-jma.go.jp
0000-0002-0373-3918)

Taichu Tanaka (
 yatanaka@nullmri-jma.go.jp
)

Masahiro Hosaka (
 mhosaka@nullmri-jma.go.jp
)

Hiromasa Yoshimura (
 hyoshimu@nullmri-jma.go.jp
)

Eiki Shindo (
 eishindo@nullmri-jma.go.jp
)

Ryo Mizuta (
 rmizuta@nullmri-jma.go.jp
)

Dr. Masayoshi Ishii (
 maish@nullmri-jma.go.jp
)

Yukimasa Adachi (
 yadachi@nullmri-jma.go.jp
)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
1850-01-16 to 2550-12-16 (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
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 CMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_5243961

BibTeX RIS
Description
as consistent as the model(s) MRI-ESM2-0
Contact typePersonORCIDOrganization
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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

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 CMIP. doi:10.22033/ESGF/CMIP6.621

Is referenced by

[1] DOI Wang, Meirong; Wang, Jun; Chen, Deliang; Duan, Anmin; Liu, Yimin; Zhou, Shunwu; Guo, Dong; Wang, Hengmao; Ju, Weimin. (2020). Recent recovery of the boreal spring sensible heating over the Tibetan Plateau will continue in CMIP6 future projections. doi:10.1088/1748-9326/ab57a3
[2] DOI Burke, Eleanor J.; Zhang, Yu; Krinner, Gerhard. (2020). Evaluating permafrost physics in the Coupled Model Intercomparison Project 6 (CMIP6) models and their sensitivity to climate change. doi:10.5194/tc-14-3155-2020
[3] DOI Ayugi, Brian; Zhihong, Jiang; Zhu, Huanhuan; Ngoma, Hamida; Babaousmail, Hassen; Rizwan, Karim; Dike, Victor. (2021). Comparison of CMIP6 and CMIP5 models in simulating mean and extreme precipitation over East Africa. doi:10.1002/joc.7207
[4] DOI Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal. (2022). Should multivariate bias corrections of climate simulations account for changes of rank correlation over time?. doi:10.1002/essoar.10510318.1
[5] DOI Jung, Christopher; Schindler, Dirk. (2022). Development of onshore wind turbine fleet counteracts climate change-induced reduction in global capacity factor. doi:10.1038/s41560-022-01056-z
[6] DOI Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal. (2022). Changes in temperature–precipitation correlations over Europe: are climate models reliable?. doi:10.1007/s00382-022-06436-5
[7] DOI Balting, Daniel F.; AghaKouchak, Amir; Lohmann, Gerrit; Ionita, Monica. (2021). Northern Hemisphere drought risk in a warming climate. doi:10.1038/s41612-021-00218-2
[8] DOI Yiou, Pascal; Faranda, Davide; Thao, Soulivanh; Vrac, Mathieu. (2021). Projected Changes in the Atmospheric Dynamics of Climate Extremes in France. doi:10.3390/atmos12111440
[9] DOI Tian, Lei; Tao, Yu; Fu, Wenxue; Li, Tao; Ren, Fang; Li, Mingyang. (2022). Dynamic Simulation of Land Use/Cover Change and Assessment of Forest Ecosystem Carbon Storage under Climate Change Scenarios in Guangdong Province, China. doi:10.3390/rs14102330
[10] DOI Carlson, Kimberly M.; Mora, Camilo; Xu, Jinwen; Setter, Renee O.; Harangody, Michelle; Franklin, Erik C.; Kantar, Michael B.; Lucas, Matthew; Menzo, Zachary M.; Spirandelli, Daniele; Schanzenbach, David; Courtlandt Warr, C.; Wong, Amanda E.; Businger, Steven. (2022). Global rainbow distribution under current and future climates. doi:10.1016/j.gloenvcha.2022.102604
[11] DOI Liu, Meng; Yang, Linqing. (2022). Northward expansion of fire-adaptative vegetation in future warming. doi:10.1088/1748-9326/ac417d
[12] DOI Yang, Shuyu; Yang, Dawen; Zhao, Baoxu; Ma, Teng; Lu, Weiwei; Santisirisomboon, Jerasorn. (2022). Future Changes in High and Low Flows under the Impacts of Climate and Land Use Changes in the Jiulong River Basin of Southeast China. doi:10.3390/atmos13020150
[13] DOI Cook, B. I.; Mankin, J. S.; Marvel, K.; Williams, A. P.; Smerdon, J. E.; Anchukaitis, K. J. (2020). Twenty‐First Century Drought Projections in the CMIP6 Forcing Scenarios. doi:10.1029/2019ef001461
[14] DOI Allan, Richard P.; Barlow, Mathew; Byrne, Michael P.; Cherchi, Annalisa; Douville, Hervé; Fowler, Hayley J.; Gan, Thian Y.; Pendergrass, Angeline G.; Rosenfeld, Daniel; Swann, Abigail L. S.; Wilcox, Laura J.; Zolina, Olga. (2020). Advances in understanding large‐scale responses of the water cycle to climate change. doi:10.1111/nyas.14337
[15] DOI Cotterill, Daniel F.; Pope, James O.; Stott, Peter A. (2022). Future Extension Of The UK Summer And Its Impact On Autumn Precipitation. doi:10.21203/rs.3.rs-1427756/v1

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

Attached Dataset Groups ( 7 )

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[Entry acronym: C6_5243961] [Entry id: 5243961]