CMIP6 ScenarioMIP CNRM-CERFACS CNRM-CM6-1-HR ssp126 r1i1p1f2 Amon psl gr v20200127

Voldoire, Aurore

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.CNRM-CERFACS.CNRM-CM6-1-HR.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 CNRM-CM6-1-HR climate model, released in 2017, includes the following components: aerosol: prescribed monthly fields computed by TACTIC_v2 scheme, atmos: Arpege 6.3 (T359; Gaussian Reduced with 181724 grid points in total distributed over 360 latitude circles (with 720 grid points per latitude circle between 32.2degN and 32.2degS reducing to 18 grid points per latitude circle at 89.6degN and 89.6degS); 91 levels; top level 78.4 km), atmosChem: OZL_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA025, tripolar primarily 1/4deg; 1442 x 1050 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: Gelato 6.1. The model was run by the CNRM (Centre National de Recherches Meteorologiques, Toulouse 31057, France), CERFACS (Centre Europeen de Recherche et de Formation Avancee en Calcul Scientifique, Toulouse 31057, France) (CNRM-CERFACS) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, ocean: 25 km, seaIce: 25 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 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
Access constraints
registered users
Size
459.66 MiB (481992701 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-01-27
Download Permission
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Cite as
[ Derived from parent entry - See data hierarchy tab ]
Voldoire, Aurore (2023). IPCC DDC: CNRM-CERFACS CNRM-CM6-1-HR model output prepared for CMIP6 ScenarioMIP ssp126. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6SPCECC2s126

BibTeX RIS
VariableCodeAggregationUnit
air_pressure_at_mean_sea_levelCF
psl (IPCC_DDC_AR6: 810)
monPa

Is source of

[1] IPCC. (2023). Figure 4.9 | CMIP6 simulations of boreal winter (December –January–February, DJF) Annular Mode indices. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-9
[2] IPCC. (2023). Figure 4.30 | CMIP6 Annular Mode index change from 1995–2014 to 2081–2100. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-30
[3] IPCC. (2023). Figure 4.17 | CMIP6 Annular Mode index change (hPa) from 1995–2014 to 2021–2040. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-17
[4] IPCC. (2023). Figure 4.25 | Long-term change of seasonal-mean sea level pressure. In IPCC, 2023: Chapter 4. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-4/figure-4-25
[5] DOI Fischer, E. (2023). Chapter 4 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 4.25 (v20230213). doi:10.5285/b1d79f8dea6244ea943d49040f0f9f6d

Parent

CMIP6 ScenarioMIP CNRM-CERFACS CNRM-CM6-1-HR ssp126
Details
[Entry acronym: C6SPCECC2s126r1112Ampslld00127] [Entry id: 3925979]