CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 GeoMIP

Seferian, Roland

WCRP CMIP6 GeoMIP CNRM-CERFACS CNRM-ESM2-1

hdl:21.14106/70dea8f83511902b37bd906dcda62e3ae654cc84

Seferian, Roland

Experiment

CMIP6 CNRM-CERFACS CNRM-ESM2-1 GEOMIP model-output

Summary: These data include all datasets published for 'CMIP6.GeoMIP.CNRM-CERFACS.CNRM-ESM2-1' 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-ESM2-1 climate model, released in 2017, includes the following components: aerosol: TACTIC_v2, 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: REPROBUS-C_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), ocnBgchem: Pisces 2.s, 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, ocnBgchem: 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: Roland Seferian (
roland.seferian@nullmeteo.fr
)
Location(s): global
Spatial Coverage: Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage: 1850-01-01 to 2100-12-31 (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: 2.43 TiB (2674249468336 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2019-07-11
Future Review Date: 2033-05-26

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Cite as: Seferian, Roland (2023). CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 GeoMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4886802

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Consistency report

as consistent as the model(s) CNRM-ESM2-1

Description: as consistent as the model(s) CNRM-ESM2-1

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance "approved by WDCC"

Description: All TQA checks were passed for WCRP CMIP6 GeoMIP CNRM-CERFACS CNRM-ESM2-1.
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: https://redmine.dkrz.de/projects/cmip6-lta-and-data-citation/wiki/Quality_Checks
Result Date: 2025-03-18

Contact type	Person	ORCID	Organization
Contact	Roland Seferian	-	Centre National de Recherches Météorologiques
Author	Roland Seferian	-	Centre National de Recherches Météorologiques

Is part of

[1] DOI Seferian, Roland. (2019). CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 GeoMIP. doi:10.22033/ESGF/CMIP6.1392

Is referenced by

[1] DOI Wang, Meirong; Wang, Jun; Chen, Deliang; Duan, Anmin; Liu, Yimin; Zhou, Shunwu; Guo, Dong; Wang, Hengmao; Ju, Weimin. (2020). Recent recovery of the boreal spring sensible heating over the Tibetan Plateau will continue in CMIP6 future projections. doi:10.1088/1748-9326/ab57a3

[2] DOI Zhang, Kequan; Duan, Jiakang; Zhao, Siyi; Zhang, Jiankai; Keeble, James; Liu, Hongwen. (2021). Evaluating the Ozone Valley over the Tibetan Plateau in CMIP6 Models. doi:10.1007/s00376-021-0442-2

[3] DOI Sanderson, Benjamin M.; Fisher, Rosie A. (2020). A fiery wake-up call for climate science. doi:10.1038/s41558-020-0707-2

[4] 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

[5] DOI Samnakay, Nadeem. (2022). Evaluating Australian drought policy from the perspective of good-practice strategic policymaking. doi:10.1080/13241583.2022.2118808

[6] DOI Popova, Kristina V.; Baturina, Natalya S.; Molodtsov, Vladimir V.; Yefremova, Oxana V.; Zharkov, Vasily D.; Sergeev, Michael G. (2022). The Handsome Cross Grasshopper Oedaleus decorus (Germar, 1825) (Orthoptera: Acrididae) as a Neglected Pest in the South-Eastern Part of West Siberian Plain. doi:10.3390/insects13010049

[7] DOI Karmouche, Soufiane; Galytska, Evgenia; Runge, Jakob; Meehl, Gerald A.; Phillips, Adam S.; Weigel, Katja; Eyring, Veronika. (2022). Regime-oriented causal model evaluation of Atlantic-Pacific teleconnections in CMIP6. doi:10.5194/egusphere-2022-1013

[8] DOI Xiong, Bin; Zheng, Shuchen; Ma, Qiumei; Fu, Chun; Wen, Tianfu; He, Zhongzheng; Li, Lingqi; Xu, Chong-Yu. (2024). Robustness of design flood estimates under nonstationary conditions: parameter sensitivity perspective. doi:10.1007/s00477-024-02680-9

[9] DOI Jourdan, Jonas; Riesch, Rüdiger; Cunze, Sarah. (2021). Off to new shores: Climate niche expansion in invasive mosquitofish (<i>Gambusia</i> spp.). doi:10.1002/ece3.8427

[10] DOI Linke, Olivia; Quaas, Johannes; Baumer, Finja; Becker, Sebastian; Chylik, Jan; Dahlke, Sandro; Ehrlich, André; Handorf, Dörthe; Jacobi, Christoph; Kalesse-Los, Heike; Lelli, Luca; Mehrdad, Sina; Neggers, Roel A. J.; Riebold, Johannes; Saavedra Garfias, Pablo; Schnierstein, Niklas; Shupe, Matthew D.; Smith, Chris; Spreen, Gunnar; Verneuil, Baptiste; Vinjamuri, Kameswara S.; Vountas, Marco; Wendisch, Manfred. (2023). Constraints on simulated past Arctic amplification and lapse rate feedback from observations. doi:10.5194/acp-23-9963-2023

[11] DOI Cunze, Sarah; Klimpel, Sven. (2022). From the Balkan towards Western Europe: Range expansion of the golden jackal (<i>Canis aureus</i>)—A climatic niche modeling approach. doi:10.1002/ece3.9141

[12] DOI Sun, Zhe; Archibald, Alexander. (2021). Multi-stage Ensemble-learning-based Model Fusion for Surface Ozone Simulations: A Focus on CMIP6 Models. doi:10.1002/essoar.10507571.1

[13] DOI Linke, Olivia; Quaas, Johannes; Baumer, Finja; Becker, Sebastian; Chylik, Jan; Dahlke, Sandro; Ehrlich, André; Handorf, Dörthe; Jacobi, Christoph; Kalesse-Los, Heike; Lelli, Luca; Mehrdad, Sina; Neggers, Roel A. J.; Riebold, Johannes; Saavedra Garfias, Pablo; Schnierstein, Niklas; Shupe, Matthew D.; Smith, Chris; Spreen, Gunnar; Verneuil, Baptiste; Vinjamuri, Kameswara S.; Vountas, Marco; Wendisch, Manfred. (2023). Constraints on simulated past Arctic amplification and lapse-rate feedback from observations. doi:10.5194/acp-2022-836

[14] DOI Karmouche, Soufiane; Galytska, Evgenia; Runge, Jakob; Meehl, Gerald A.; Phillips, Adam S.; Weigel, Katja; Eyring, Veronika. (2023). Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6. doi:10.5194/esd-14-309-2023

[15] DOI Storozhenko, Sergey Yu.; Molodtsov, Vladimir V.; Sergeev, Michael G. (2023). The Mysterious Amurian Grig Paracyphoderris erebeus Storozhenko, 1980 (Orthoptera: Prophalangopsidae): New Data on Its Distribution, Ecology and Biology. doi:10.3390/insects14100789

Is related to

[1] DOI Burke, Eleanor J.; Zhang, Yu; Krinner, Gerhard. (2020). Evaluating permafrost physics in the Coupled Model Intercomparison Project 6 (CMIP6) models and their sensitivity to climate change. doi:10.5194/tc-14-3155-2020

[2] DOI Kwiatkowski, Lester; Torres, Olivier; Bopp, Laurent; Aumont, Olivier; Chamberlain, Matthew; Christian, James R.; Dunne, John P.; Gehlen, Marion; Ilyina, Tatiana; John, Jasmin G.; Lenton, Andrew; Li, Hongmei; Lovenduski, Nicole S.; Orr, James C.; Palmieri, Julien; Santana-Falcón, Yeray; Schwinger, Jörg; Séférian, Roland; Stock, Charles A.; Tagliabue, Alessandro; Takano, Yohei; Tjiputra, Jerry; Toyama, Katsuya; Tsujino, Hiroyuki; Watanabe, Michio; Yamamoto, Akitomo; Yool, Andrew; Ziehn, Tilo. (2020). Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections. doi:10.5194/bg-17-3439-2020

[3] DOI Smith, Abigail; Jahn, Alexandra; Wang, Muyin. (2020). Seasonal transition dates can reveal biases in Arctic sea ice simulations. doi:10.5194/tc-2020-81

[4] DOI Kravitz, Ben; MacMartin, Douglas G.; Visioni, Daniele; Boucher, Olivier; Cole, Jason N. S.; Haywood, Jim; Jones, Andy; Lurton, Thibaut; Nabat, Pierre; Niemeier, Ulrike; Robock, Alan; Séférian, Roland; Tilmes, Simone. (2020). Comparing different generations of idealized solar geoengineering simulations in the Geoengineering Model Intercomparison Project (GeoMIP). doi:10.5194/acp-2020-732

[5] DOI Lange, Stefan; Büchner, Matthias. (2022). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124.1

[6] DOI Smith, Abigail; Jahn, Alexandra; Wang, Muyin. (2020). Seasonal transition dates can reveal biases in Arctic sea ice simulations. doi:10.5194/tc-14-2977-2020

[7] DOI Lange, Stefan; Büchner, Matthias. (2022). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124

[8] 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

[9] DOI Kravitz, Ben; MacMartin, Douglas G.; Visioni, Daniele; Boucher, Olivier; Cole, Jason N. S.; Haywood, Jim; Jones, Andy; Lurton, Thibaut; Nabat, Pierre; Niemeier, Ulrike; Robock, Alan; Séférian, Roland; Tilmes, Simone. (2021). Comparing different generations of idealized solar geoengineering simulations in the Geoengineering Model Intercomparison Project (GeoMIP). doi:10.5194/acp-21-4231-2021

[10] DOI Wilcox, Laura J.; Liu, Zhen; Samset, Bjørn H.; Hawkins, Ed; Lund, Marianne T.; Nordling, Kalle; Undorf, Sabine; Bollasina, Massimo; Ekman, Annica M. L.; Krishnan, Srinath; Merikanto, Joonas; Turner, Andrew G. (2020). Accelerated increases in global and Asian summer monsoon precipitation from future aerosol reductions. doi:10.5194/acp-20-11955-2020

[11] DOI Wilcox, Laura J.; Liu, Zhen; Samset, Bjørn H.; Hawkins, Ed; Lund, Marianne T.; Nordling, Kalle; Undorf, Sabine; Bollasina, Massimo; Ekman, Annica M. L.; Krishnan, Srinath; Merikanto, Joonas; Turner, Andrew G. (2020). Accelerated increases in global and Asian summer monsoon precipitation from future aerosol reductions. doi:10.5194/acp-2019-1188

[12] DOI Turnock, Steven T.; Allen, Robert J.; Andrews, Martin; Bauer, Susanne E.; Deushi, Makoto; Emmons, Louisa; Good, Peter; Horowitz, Larry; John, Jasmin G.; Michou, Martine; Nabat, Pierre; Naik, Vaishali; Neubauer, David; O'Connor, Fiona M.; Olivié, Dirk; Oshima, Naga; Schulz, Michael; Sellar, Alistair; Shim, Sungbo; Takemura, Toshihiko; Tilmes, Simone; Tsigaridis, Kostas; Wu, Tongwen; Zhang, Jie. (2020). Historical and future changes in air pollutants from CMIP6 models. doi:10.5194/acp-20-14547-2020

[13] 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

[14] 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

[15] DOI Liu, Meng; Yang, Linqing. (2022). Northward expansion of fire-adaptative vegetation in future warming. doi:10.1088/1748-9326/ac417d

[16] DOI Xie, Yuanyu; Lin, Meiyun; Decharme, Bertrand; Delire, Christine; Horowitz, Larry W.; Lawrence, David M.; Li, Fang; Séférian, Roland. (2022). Tripling of western US particulate pollution from wildfires in a warming climate. doi:10.1073/pnas.2111372119

[17] DOI Cook, B. I.; Mankin, J. S.; Marvel, K.; Williams, A. P.; Smerdon, J. E.; Anchukaitis, K. J. (2020). Twenty‐First Century Drought Projections in the CMIP6 Forcing Scenarios. doi:10.1029/2019ef001461

[18] DOI Keeble, James; Hassler, Birgit; Banerjee, Antara; Checa-Garcia, Ramiro; Chiodo, Gabriel; Davis, Sean; Eyring, Veronika; Griffiths, Paul T.; Morgenstern, Olaf; Nowack, Peer; Zeng, Guang; Zhang, Jiankai; Bodeker, Greg; Cugnet, David; Danabasoglu, Gokhan; Deushi, Makoto; Horowitz, Larry W.; Li, Lijuan; Michou, Martine; Mills, Michael J.; Nabat, Pierre; Park, Sungsu; Wu, Tongwen. (2020). Evaluating stratospheric ozone and water vapor changes in CMIP66 models from 1850–2100. doi:10.5194/acp-2019-1202

[19] DOI Yuan, Fenghui; Liu, Jianzhao; Zuo, Yunjiang; Guo, Ziyu; Wang, Nannan; Song, Changchun; Wang, Zongming; Sun, Li; Guo, Yuedong; Song, Yanyu; Mao, Dehua; Xu, Feifan; Xu, Xiaofeng. (2020). Rising vegetation activity dominates growing water use efficiency in the Asian permafrost region from 1900 to 2100. doi:10.1016/j.scitotenv.2020.139587

[20] DOI Lange, Stefan; Quesada-Chacón, Dánnell; Büchner, Matthias. (2023). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124.2

[21] DOI Sohail, Taimoor; Zika, Jan D.; Irving, Damien B.; Church, John A. (2022). Observed poleward freshwater transport since 1970. doi:10.1038/s41586-021-04370-w

[22] DOI Zhou, Tianjun; Turner, Andrew; Kinter, James; Wang, Bin; Qian, Yun; Chen, Xiaolong; Wang, Bin; Liu, Bo; Wu, Bo; Zou, Liwei. (2016). Overview of the Global Monsoons Model Inter-comparison Project (GMMIP). doi:10.5194/gmd-2016-69

[23] DOI Zhou, Tianjun; Turner, Andrew G.; Kinter, James L.; Wang, Bin; Qian, Yun; Chen, Xiaolong; Wu, Bo; Wang, Bin; Liu, Bo; Zou, Liwei; He, Bian. (2016). GMMIP (v1.0) contribution to CMIP6: Global Monsoons Model Inter-comparison Project. doi:10.5194/gmd-9-3589-2016

[24] DOI Zhang, Da Yong; Ali, Zulfiqar; Wang, Chang Biao; Xu, Ling; Yi, Jin Xin; Xu, Zhao Long; Liu, Xiao Qing; He, Xiao Lan; Huang, Yi Hong; Khan, Iqrar Ahmad; Trethowan, Richard M.; Ma, Hong Xiang. (2013). Genome-Wide Sequence Characterization and Expression Analysis of Major Intrinsic Proteins in Soybean (Glycine max L.). doi:10.1371/journal.pone.0056312

[25] 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

[26] DOI Lange, Stefan; Quesada-Chacón, Dánnell; Büchner, Matthias. (2023). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124.3

Attached Dataset Groups ( 2 )

Parent project(s)

WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6_4886802] [Entry id: 4886802]