CMIP6 AerChemMIP MRI MRI-ESM2-0 ssp370-lowNTCFCH4

doi:10.26050/WDCC/AR6.C6ACMRME0NTC

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.AerChemMIP.MRI.MRI-ESM2-0.ssp370-lowNTCFCH4' 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. Naga Oshima (
 oshima@nullmri-jma.go.jp
0000-0002-8451-2411)

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

Taichu Tanaka (
 yatanaka@nullmri-jma.go.jp
)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
2015-01-16 to 2100-12-16 (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
66.23 GiB (71119005019 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-10-01
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 AerChemMIP ssp370-lowNTCFCH4. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6ACMRME0NTC

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 AerChemMIP MRI MRI-ESM2-0 ssp370-lowNTCFCH4.
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
2023-01-09
Contact typePersonORCIDOrganization
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Cites

[1] DOI Intergovernmental Panel on Climate Change (IPCC). (2023). 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.)]. doi:10.1017/9781009157896
[2] DOI 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. (2023). 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.)]. doi:10.1017/9781009157896.008
[3] 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. (2021). Short-Lived Climate Forcers 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/

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. (2020). MRI MRI-ESM2.0 model output prepared for CMIP6 AerChemMIP ssp370-lowNTCFCH4. doi:10.22033/ESGF/CMIP6.13529
[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 AerChemMIP. doi:10.26050/WDCC/AR6.C6ACMRME0

Is referenced by

[1] DOI Hassan, Taufiq; Allen, Robert J.; Liu, Wei; Shim, Sungbo; van Noije, Twan; Le Sager, Philippe; Oshima, Naga; Deushi, Makoto; Randles, Cynthia A.; O’Connor, Fiona M. (2022). Air quality improvements are projected to weaken the Atlantic meridional overturning circulation through radiative forcing effects. doi:10.1038/s43247-022-00476-9

Parent

CMIP6 AerChemMIP MRI MRI-ESM2-0
Details

Attached Datasets ( 18 )

Details for selected entry
[Entry acronym: C6ACMRME0NTC] [Entry id: 3953652]