CMIP6 ScenarioMIP MRI MRI-ESM2-0 ssp126 r1i1p1f1 Omon mlotst gn v20200222

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.ScenarioMIP.MRI.MRI-ESM2-0.ssp126' 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
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
Access constraints
registered users
Size
974.34 MiB (1021671393 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-02-22
Download Permission
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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 ScenarioMIP ssp126. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPMRME0s126

BibTeX RIS
VariableCodeAggregationUnit
ocean_mixed_layer_thickness_defined_by_sigma_tCF
mlotst (IPCC_DDC_AR6: 572)
monm

Is source of

[1] IPCC. (2023). Figure 9.5 | Mixed-layer depth in (a–d) winter and (e–h) summer. (a, e) In IPCC, 2023: Chapter 9. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-9/figure-9-5
[2] DOI Yu, Y.; Hua, L.; Pearson, B. (2023). Chapter 9 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 9.5 (v20220721). doi:10.5285/8d9719be04d148d88d5ed8edd0426cf2
[3] IPCC. (2023). Code for Figure 9.5 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-9/tree/v.1.0/Plotting_code_and_data/Fig9_05_MLD
[4] DOI Pearson, Brodie; Baylor Fox-Kemper; Kopp, Robert; Berger, Sophie; Doerr, Jakob; Krinner, Gerhard; Notz, Dirk; Ruiz, Lucas; Jourdain, Nicolas; Froelicher, Thomas; Garner, Gregory; Hemer, Mark; Hermans, Tim; Jackson, Laura; Menary, Matt; Mix, Alan; Palmer, Matt; Sweet, William. (2021). IPCC WGI AR6 Chapter 9. doi:10.5281/zenodo.5217365

Parent

CMIP6 ScenarioMIP MRI MRI-ESM2-0 ssp126
Details
[Entry acronym: C6SPMRME0s126r111Ommlstgn00222] [Entry id: 3963496]