CMIP6 HighResMIP CNRM-CERFACS CNRM-CM6-1

doi:10.26050/WDCC/AR6.C6HRCECC1

Voldoire, Aurore

ExperimentDOI
Summary
These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.HighResMIP.CNRM-CERFACS.CNRM-CM6-1' 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 climate model, released in 2017, includes the following components: aerosol: prescribed monthly fields computed by TACTIC_v2 scheme, atmos: Arpege 6.3 (T127; Gaussian Reduced with 24572 grid points in total distributed over 128 latitude circles (with 256 grid points per latitude circle between 30degN and 30degS reducing to 20 grid points per latitude circle at 88.9degN and 88.9degS); 91 levels; top level 78.4 km), atmosChem: OZL_v2, land: Surfex 8.0c, ocean: Nemo 3.6 (eORCA1, tripolar primarily 1deg; 362 x 294 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: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.
Project
IPCC-AR6_CMIP6 (Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets)
Contact
Aurore Voldoire (
 aurore.voldoire@nullmeteo.fr
)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
1950-01-16 to 2049-12-16 (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
72.58 GiB (77928123377 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-02-24
Cite as
Voldoire, Aurore (2023). IPCC DDC: CNRM-CERFACS CNRM-CM6-1 model output prepared for CMIP6 HighResMIP. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6HRCECC1

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 HighResMIP CNRM-CERFACS CNRM-CM6-1.
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
2023-01-17
Contact typePersonORCIDOrganization
-
-

Cites

[1] DOI Eyring, V.; Gillett, N.P.; Achuta Rao, K.M.; Barimalala, R.; Barreiro Parrillo, M.; Bellouin, N.; Cassou, C.; Durack, P.J.; Kosaka, Y.; McGregor, S.; Min, S.; Morgenstern, O.; Sun, Y. (2023). Human Influence on the Climate System. 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:10.1017/9781009157896.005
[2] 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

Is part of

[1] DOI Voldoire, Aurore. (2019). CNRM-CERFACS CNRM-CM6-1 model output prepared for CMIP6 HighResMIP. doi:10.22033/ESGF/CMIP6.1925

Has part

[1] DOI Voldoire, Aurore. (2023). IPCC DDC: CNRM-CERFACS CNRM-CM6-1 model output prepared for CMIP6 HighResMIP control-1950. doi:10.26050/WDCC/AR6.C6HRCECC1C1
[2] DOI Voldoire, Aurore. (2023). IPCC DDC: CNRM-CERFACS CNRM-CM6-1 model output prepared for CMIP6 HighResMIP hist-1950. doi:10.26050/WDCC/AR6.C6HRCECC1H1

Is referenced by

[1] DOI Tsartsali, E. E.; Haarsma, R. J.; Athanasiadis, P. J.; Bellucci, A.; de Vries, H.; Drijfhout, S.; de Vries, I. E.; Putrahasan, D.; Roberts, M. J.; Sanchez–Gomez, E.; Roberts, C. D. (2022). Impact of resolution on the atmosphere–ocean coupling along the Gulf Stream in global high resolution models. doi:10.1007/s00382-021-06098-9
[2] DOI Bellucci, Alessio; Athanasiadis, P. J.; Scoccimarro, E.; Ruggieri, P.; Gualdi, S.; Fedele, G.; Haarsma, R. J.; Garcia-Serrano, J.; Castrillo, M.; Putrahasan, D.; Sanchez-Gomez, E.; Moine, M.-P.; Roberts, C. D.; Roberts, M. J.; Seddon, J.; Vidale, P. L. (2021). Air-Sea interaction over the Gulf Stream in an ensemble of HighResMIP present climate simulations. doi:10.1007/s00382-020-05573-z
[3] DOI Moon, Yumin; Kim, Daehyun; Wing, Allison A.; Camargo, Suzana J.; Zhao, Ming; Leung, L. Ruby; Roberts, Malcolm J.; Cha, Dong-Hyun; Moon, Jihong. (2022). An Evaluation of Tropical Cyclone Rainfall Structures in the HighResMIP Simulations against Satellite Observations. doi:10.1175/jcli-d-21-0564.1
[4] DOI Roberts, Malcolm John; Camp, Joanne; Seddon, Jon; Vidale, Pier Luigi; Hodges, Kevin; Vannière, Benoît; Mecking, Jenny; Haarsma, Rein; Bellucci, Alessio; Scoccimarro, Enrico; Caron, Louis‐Philippe; Chauvin, Fabrice; Terray, Laurent; Valcke, Sophie; Moine, Marie‐Pierre; Putrasahan, Dian; Roberts, Christopher D.; Senan, Retish; Zarzycki, Colin; Ullrich, Paul; Yamada, Yohei; Mizuta, Ryo; Kodama, Chihiro; Fu, Dan; Zhang, Qiuying; Danabasoglu, Gokhan; Rosenbloom, Nan; Wang, Hong; Wu, Lixin. (2020). Projected Future Changes in Tropical Cyclones Using the CMIP6 HighResMIP Multimodel Ensemble. doi:10.1029/2020gl088662
[5] DOI Roberts, Malcolm J.; Jackson, Laura C.; Roberts, Christopher D.; Meccia, Virna; Docquier, David; Koenigk, Torben; Ortega, Pablo; Moreno‐Chamarro, Eduardo; Bellucci, Alessio; Coward, Andrew; Drijfhout, Sybren; Exarchou, Eleftheria; Gutjahr, Oliver; Hewitt, Helene; Iovino, Doroteaciro; Lohmann, Katja; Putrasahan, Dian; Schiemann, Reinhard; Seddon, Jon; Terray, Laurent; Xu, Xiaobiao; Zhang, Qiuying; Chang, Ping; Yeager, Stephen G.; Castruccio, Frederic S.; Zhang, Shaoqing; Wu, Lixin. (2020). Sensitivity of the Atlantic Meridional Overturning Circulation to Model Resolution in CMIP6 HighResMIP Simulations and Implications for Future Changes. doi:10.1029/2019ms002014

Is related to

[1] DOI Sarr, Alioune Badara; Sultan, Benjamin. (2022). Predicting crop yields in Senegal using machine learning methods. doi:10.1002/joc.7947

Attached Dataset Groups ( 2 )

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[Entry acronym: C6HRCECC1] [Entry id: 3949407]