CMIP6 DAMIP MRI MRI-ESM2-0 hist-GHG r4i1p1f1 Omon tos gn v20200330

Yukimoto, Seiji et al.

Dataset
Summary
[ Derived from parent entry - See data hierarchy tab ]

These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.MRI.MRI-ESM2-0.hist-GHG' 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)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
1850-01-16 to 2020-12-16 (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
Access constraints
registered users
Size
521.60 MiB (546941398 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2033-03-30
Download Permission
Please login to check permission and download options
Cite as
[ Derived from parent entry - See data hierarchy tab ]
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 DAMIP hist-GHG. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6DAMRME0HG

BibTeX RIS
VariableCodeAggregationUnit
sea_surface_temperatureCF
tos (IPCC_DDC_AR6: 1158)
mondegC

Is source of

[1] IPCC. (2023). FAQ 3.1, Figure 1 | Observed warming (1850–2019) is only reproduced in simulations including human influence. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/faq-3-1-figure-1
[2] IPCC. (2023). Figure 3.7 | Regression coefficients and corresponding attributable warming estimates for individual CMIP6 models. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-7
[3] DOI Gillett, N.; Malinina, E. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.1, Figure 1 (v20220615). doi:10.5285/c03ba3e2a7314f848e41a3a724bd8d25
[4] DOI Gillett, N.; Malinina, E. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.7 (v20220613). doi:10.5285/392c8351349b4436923c102c558873d9
[5] IPCC. (2023). Code for Figure 3.7 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig07
[6] DOI Gillett, N.; Kirchmeier-Young, M.; Cowtan, K. (2022). IPCC AR6 WGI - Figure 3.7. doi:10.5281/zenodo.6786710

Parent

CMIP6 DAMIP MRI MRI-ESM2-0 hist-GHG
Details
[Entry acronym: C6DAMRME0HGr4111Omtosgn00330] [Entry id: 3966045]