CMIP6 CMIP CNRM-CERFACS CNRM-CM6-1-HR historical r1i1p1f2 Amon psl gr v20191021

hdl:21.14100/34334dc8-fe7a-31fd-a597-66f894552ab0

Voldoire, Aurore

Dataset
climate changeCMIPCMIP6CNRM-CERFACSCNRM-CM6-1-HRhistoricalIPCCIPCC-AR6IPCC-DDCpsl
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.CMIP.CNRM-CERFACS.CNRM-CM6-1-HR.historical' 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
1850-01-16 to 2014-12-16 (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
882.37 MiB (925235951 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-10-21
Download Permission
Please login to check permission and download options
Preview data headers
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 CMIP historical. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6CMCECC2hi

BibTeX RIS
VariableCodeAggregationUnit
air_pressure_at_mean_sea_levelCF
psl (IPCC_DDC_AR6: 810)
monPa

Is referenced by

[1] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 3.16. doi:10.5281/zenodo.14986344
[2] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 3.33. doi:10.5281/zenodo.14986383
[3] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 3.34. doi:10.5281/zenodo.14986385
[4] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 3.42. doi:10.5281/zenodo.14986401
[5] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 3.43. doi:10.5281/zenodo.14986403
[6] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 4.25. doi:10.5281/zenodo.14986431
[7] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure FAQ3.3.1. doi:10.5281/zenodo.14986569

Is source of

[1] IPCC. (2023). FAQ 3.3, Figure 1 | Pattern correlations between models and observations of three different variables: surface air temperature, precipitation and sea level pressure. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/faq-3-3-figure-1
[2] IPCC. (2023). Figure 3.42 | Relative space–time root-mean-square deviation (RMSD) calculated from the climatological seasonal cycle of the CMIP simulations (1980–1999) compared to observational datasets. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-42
[3] IPCC. (2023). Figure 3.16 | Model evaluation and attribution of changes in Hadley cell extent and Walker circulation strength. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-16
[4] IPCC. (2023). Figure 3.33 | Model evaluation of NAM, NAO and SAM in boreal winter. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-33
[5] IPCC. (2023). Figure 3.34 | Attribution of observed seasonal trends in the annular modes to forcings. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-34
[6] IPCC. (2023). Figure 3.43 | Centred pattern correlations between models and observations for the annual mean climatology over the period 1980–1999. In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-43
[7] 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
[8] 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
[9] 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
[10] 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
[11] DOI Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.42 (v20211001). doi:10.5285/e3d21f98cc764d1185b0d6e662532831
[12] DOI Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.43 (v20211001). doi:10.5285/80c10f8aeb7049778c5a15ede4917128
[13] 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
[14] DOI Phillips, A.; Kosaka, Y.; Cassou, C.; Kazeroni, R. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.33 (v20211209). doi:10.5285/4fe1afacdc524c118989c16a1bccd51e
[15] DOI Kosaka, Y.; Cassou, C.; Kazeroni, R. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.16 (v20220105). doi:10.5285/4e80c4a2933344259a3f423715771952
[16] DOI Phillips, A.; Kosaka, Y.; Cassou, C.; Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.34 (v20220104). doi:10.5285/678ee967fe114a34a6d1f7d50e4aa7ee
[17] DOI Bock, L. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for FAQ 3.3, Figure 1 (v20220615). doi:10.5285/afe80eb32a1c4164a3b84396c6d7a5d6
[18] IPCC. (2023). Code for Figure 3.16 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig16
[19] IPCC. (2023). Code for Figure 3.33 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig33
[20] IPCC. (2023). Code for Figure 3.34 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig34
[21] IPCC. (2023). Code for Figure 3.42 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig42
[22] IPCC. (2023). Code for Figure 3.43 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig43
[23] IPCC. (2023). Code for Figure FAQ3.3.1 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_FAQ3_Fig01
[24] DOI Phillips, A.; Kosaka, Y.; Cassou, C.; Karmouche, S.; Bock, L.; Kazeroni, R. (2022). IPCC AR6 WGI - Figure 3.33. doi:10.5281/zenodo.6656788
[25] DOI Bock, L.; Eyring, V.; Morgenstern, O. (2022). IPCC AR6 WGI - Figure 3.43. doi:10.5281/zenodo.6656917
[26] DOI Phillips, A.; Kosaka, Y.; Cassou, C.; Karmouche, S.; Bock, L.; Kazeroni, R. (2022). IPCC AR6 WGI - Figure 3.34. doi:10.5281/zenodo.6656792
[27] DOI Kosaka, Y.; Kazeroni, R. (2022). IPCC AR6 WGI - Figure 3.16. doi:10.5281/zenodo.6656257
[28] DOI Bock, L.; Eyring, V.; Morgenstern, O. (2022). IPCC AR6 WGI - Figure 3.42. doi:10.5281/zenodo.6656806
[29] DOI IPCC-WG1. (2022). IPCC AR6 WGI - FAQ3_Fig01. doi:10.5281/zenodo.6786682

Parent

CMIP6 CMIP CNRM-CERFACS CNRM-CM6-1-HR historical
Details

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6CMCECC2hir1112Ampslld91021] [Entry id: 3900675]