WCRP CMIP6 HighResMIP CNRM-CERFACS CNRM-CM6-1

Voldoire, Aurore

Experiment
Summary
These data include all datasets published 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.

Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated.
Project
CMIP6 (WCRP 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
1950-01-01 to 2051-01-01 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
11.76 TiB (12925016859796 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Review Date
2026-10-21
Cite as
Voldoire, Aurore (2023). CNRM-CERFACS CNRM-CM6-1 model output prepared for CMIP6 HighResMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4888795

BibTeX RIS
Description
as consistent as the model(s) CNRM-CM6-1
Description
All TQA checks were passed for WCRP 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
2024-09-02
Contact typePersonORCIDOrganization
-
-

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

Is referenced by

[1] DOI Dangendorf, Sönke; Frederikse, Thomas; Chafik, Léon; Klinck, John M.; Ezer, Tal; Hamlington, Benjamin D. (2021). Data-driven reconstruction reveals large-scale ocean circulation control on coastal sea level. doi:10.1038/s41558-021-01046-1
[2] 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
[3] DOI Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal. (2022). Should multivariate bias corrections of climate simulations account for changes of rank correlation over time?. doi:10.1002/essoar.10510318.1
[4] DOI Moreno-Chamarro, Eduardo; Caron, Louis-Philippe; Loosveldt Tomas, Saskia; Gutjahr, Oliver; Moine, Marie-Pierre; Putrasahan, Dian; Roberts, Christopher D.; Roberts, Malcolm J.; Senan, Retish; Terray, Laurent; Tourigny, Etienne; Vidale, Pier Luigi. (2021). Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models. doi:10.5194/gmd-2021-209
[5] 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
[6] DOI Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal. (2022). Changes in temperature–precipitation correlations over Europe: are climate models reliable?. doi:10.1007/s00382-022-06436-5
[7] 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
[8] DOI Yiou, Pascal; Faranda, Davide; Thao, Soulivanh; Vrac, Mathieu. (2021). Projected Changes in the Atmospheric Dynamics of Climate Extremes in France. doi:10.3390/atmos12111440
[9] 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
[10] 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
[11] DOI Demory, Marie-Estelle; Berthou, Ségolène; PRIMAVERA and EURO-CORDEX co-authors. (2021). European daily precipitation according to EURO-CORDEX regional climate models (RCMs) and high-resolution global climate models (GCMs) from the High-Resolution Model Intercomparison Project (HighResMIP). doi:10.5194/egusphere-egu21-14363
[12] DOI Chau, Siu Lun; Bouabid, Shahine; Sejdinovic, Dino. (2022). Deconditional Downscaling with Gaussian Processes. doi:10.48550/arxiv.2105.12909
[13] DOI Moreno-Chamarro, Eduardo. (2021). Reply on RC2. doi:10.5194/gmd-2021-209-ac2
[14] DOI Moreno-Chamarro, Eduardo. (2021). Reply on RC1. doi:10.5194/gmd-2021-209-ac1
[15] DOI Zhao, Siyu; Cook, Kerry H.; Vizy, Edward K. (2024). Greenhouse gas-induced modification of intense storms over the west African sahel through thermodynamic and dynamic processes. doi:10.1007/s00382-024-07193-3
[16] DOI Demory, Marie-Estelle; Berthou, Ségolène; Sørland, Silje L.; Roberts, Malcolm J.; Beyerle, Urs; Seddon, Jon; Haarsma, Rein; Schär, Christoph; Christensen, Ole B.; Fealy, Rowan; Fernandez, Jesus; Nikulin, Grigory; Peano, Daniele; Putrasahan, Dian; Roberts, Christopher D.; Steger, Christian; Teichmann, Claas; Vautard, Robert. (2020). Can high-resolution GCMs reach the level of information provided by 12–50 km CORDEX RCMs in terms of daily precipitation distribution?. doi:10.5194/gmd-2019-370
[17] DOI Roberts, Malcolm John; Camp, Joanne; Seddon, Jon; Vidale, Pier Luigi; Hodges, Kevin; Vanniere, Benoit; Mecking, Jenny; Haarsma, Rein; Bellucci, Alessio; Scoccimarro, Enrico; Caron, Louis-Philippe; Chauvin, Fabrice; Terray, Laurent; Valcke, Sophie; Moine, Marie-Pierre; Putrasahan, Dian; Roberts, Christopher; Senan, Retish; Zarzycki, Colin; Ullrich, Paul. (2020). Impact of Model Resolution on Tropical Cyclone Simulation Using the HighResMIP–PRIMAVERA Multimodel Ensemble. doi:10.1175/jcli-d-19-0639.1
[18] DOI Vrac, M.; Thao, S.; Yiou, P. (2022). Should Multivariate Bias Corrections of Climate Simulations Account for Changes of Rank Correlation Over Time?. doi:10.1029/2022jd036562
[19] DOI Guiney, Rebecca; Santucci, Elettra; Valman, Samuel; Booth, Adam; Birley, Andrew; Haynes, Ian; Marsh, Stuart; Mills, Jon. (2021). Integration and Analysis of Multi-Modal Geospatial Secondary Data to Inform Management of at-Risk Archaeological Sites. doi:10.3390/ijgi10090575
[20] DOI Hsu, Hsin; Dirmeyer, Paul A. (2023). Uncertainty in projected critical soil moisture values in CMIP6 affects the interpretation of a more moisture-limited world. doi:10.22541/essoar.167810145.51830543/v1
[21] DOI Liu, Zhao; Gao, Si; Cai, Wenjia; Li, Zongyi; Wang, Can; Chen, Xing; Ma, Zhiyuan; Zhao, Zijian. (2023). Projections of heat-related excess mortality in China due to climate change, population and aging. doi:10.1007/s11783-023-1732-y
[22] DOI Docquier, David; Fuentes-Franco, Ramón; Koenigk, Torben; Fichefet, Thierry. (2020). Sea Ice—Ocean Interactions in the Barents Sea Modeled at Different Resolutions. doi:10.3389/feart.2020.00172
[23] DOI Moreno-Chamarro, Eduardo; Caron, Louis-Philippe; Loosveldt Tomas, Saskia; Vegas-Regidor, Javier; Gutjahr, Oliver; Moine, Marie-Pierre; Putrasahan, Dian; Roberts, Christopher D.; Roberts, Malcolm J.; Senan, Retish; Terray, Laurent; Tourigny, Etienne; Vidale, Pier Luigi. (2022). Impact of increased resolution on long-standing biases in HighResMIP-PRIMAVERA climate models. doi:10.5194/gmd-15-269-2022
[24] DOI Hsu, Hsin; Dirmeyer, Paul A. (2023). Uncertainty in Projected Critical Soil Moisture Values in CMIP6 Affects the Interpretation of a More Moisture‐Limited World. doi:10.1029/2023ef003511

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

Is cited by

[1] DOI Fox-Kemper, B.; Hewitt, H.T.; Xiao, C.; Aðalgeirsdóttir, G.; Drijfhout, S.S.; Edwards, T.L.; Golledge, N.R.; Hemer, M.; Kopp, R.E.; Krinner, G.; Mix, A.; Notz, D.; Nowicki, S.; Nurhati, I.S.; Ruiz, L.; Sallée, J.-B.; Slangen, A.B.A.; Yu, Y. (2023). Ocean, Cryosphere and Sea Level Change. 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:10.1017/9781009157896.011
[2] 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
[3] 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
[4] DOI Sarr, Alioune Badara; Sultan, Benjamin. (2022). Predicting crop yields in Senegal using machine learning methods. doi:10.1002/joc.7947
[5] DOI Tang, Yulian; Huangfu, Jingliang; Huang, Ronghui; Chen, Wen. (2022). Simulation and Projection of Tropical Cyclone Activities over the Western North Pacific by CMIP6 HighResMIP. doi:10.1175/jcli-d-21-0760.1
[6] DOI Demory, Marie-Estelle; Berthou, Ségolène; Fernández, Jesús; Sørland, Silje L.; Brogli, Roman; Roberts, Malcolm J.; Beyerle, Urs; Seddon, Jon; Haarsma, Rein; Schär, Christoph; Buonomo, Erasmo; Christensen, Ole B.; Ciarlo ̀, James M.; Fealy, Rowan; Nikulin, Grigory; Peano, Daniele; Putrasahan, Dian; Roberts, Christopher D.; Senan, Retish; Steger, Christian; Teichmann, Claas; Vautard, Robert. (2020). European daily precipitation according to EURO-CORDEX regional climate models (RCMs) and high-resolution global climate models (GCMs) from the High-Resolution Model Intercomparison Project (HighResMIP). doi:10.5194/gmd-13-5485-2020
[7] DOI Hewitt, Helene T.; Roberts, Malcolm; Mathiot, Pierre; Biastoch, Arne; Blockley, Ed; Chassignet, Eric P.; Fox-Kemper, Baylor; Hyder, Pat; Marshall, David P.; Popova, Ekaterina; Treguier, Anne-Marie; Zanna, Laure; Yool, Andrew; Yu, Yongqiang; Beadling, Rebecca; Bell, Mike; Kuhlbrodt, Till; Arsouze, Thomas; Bellucci, Alessio; Castruccio, Fred; Gan, Bolan; Putrasahan, Dian; Roberts, Christopher D.; Van Roekel, Luke; Zhang, Qiuying. (2020). Resolving and Parameterising the Ocean Mesoscale in Earth System Models. doi:10.1007/s40641-020-00164-w
[8] DOI Roberts, Malcolm J; Bellucci, Alessio; Vannière, Benoit; Camp, Joanne; Roberts, Christopher David; Putrashan, Dian; Mecking, Jennifer Veronika; Hodges, Kevin; Terray, Laurent; Caron, Louis-Philippe; Vidale, Pier Luigi; Haarsma, Rein; Senan, Retish; Seddon, Jon; Moine, Marie-Pierre; Kodama, Chihiro; Yamada, Yohei; Zarzycki, Colin M.; Ullrich, Paul; Mizuta, Ryo; Fu, Dan; Danabasoglu, Gokhan; Wu, Lixin; Rosenbloom, Nan A.; Zhang, Qiuying; Scoccimarro, Enrico; Chauvin, Fabrice; Valcke, Sophie; Wang, Hong. (2020). Projected Future Changes in Tropical Cyclones using the CMIP6 HighResMIP Multi-model Ensemble. doi:10.1002/essoar.10503125.1

Attached Dataset Groups ( 6 )

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[Entry acronym: C6_4888795] [Entry id: 4888795]