CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 CMIP historical

Seferian, Roland

CMIP CMIP6 CNRM-CERFACS CNRM-ESM2-1 historical

Summary: These data include all datasets published for 'CMIP6.CMIP.CNRM-CERFACS.CNRM-ESM2-1.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-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 2015-01-01 (gregorian)
Use constraints: Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog: World Data Center for Climate
Size: 29.47 TiB (32402799793674 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2018-12-06
Review Date: 2026-10-21

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Cite as: Seferian, Roland (2023). CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 CMIP historical. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4342691

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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 CMIP CNRM-CERFACS CNRM-ESM2-1 historical.
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: 2024-09-24

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. (2018). CNRM-CERFACS CNRM-ESM2-1 model output prepared for CMIP6 CMIP historical. doi:10.22033/ESGF/CMIP6.4068

Is referenced by

[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 Diamond, Michael; Director, Hannah; Eastman, Ryan; Possner, Anna; Wood, Robert. (2019). Substantial Cloud Brightening from Shipping in Subtropical Low Clouds. doi:10.1002/essoar.10501145.1

[4] 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

[5] DOI Cai, Wenju; Yang, Kai; Wu, Lixin; Huang, Gang; Santoso, Agus; Ng, Benjamin; Wang, Guojian; Yamagata, Toshio. (2020). Opposite response of strong and moderate positive Indian Ocean Dipole to global warming. doi:10.1038/s41558-020-00943-1

[6] DOI Lalande, Mickaël; Ménégoz, Martin; Krinner, Gerhard; Naegeli, Kathrin; Wunderle, Stefan. (2021). Climate change in the High Mountain Asia in CMIP6. doi:10.5194/esd-2021-43

[7] DOI Vaittinada Ayar, Pradeebane; Bopp, Laurent; Christian, Jim R.; Ilyina, Tatiana; Krasting, John P.; Séférian, Roland; Tsujino, Hiroyuki; Watanabe, Michio; Yool, Andrew; Tjiputra, Jerry. (2022). Contrasting projections of the ENSO-driven CO<sub>2</sub> flux variability in the equatorial Pacific under high-warming scenario. doi:10.5194/esd-13-1097-2022

[8] DOI Wang, Shizhu; Wang, Qiang; Wang, Muyin; Lohmann, Gerrit; Qiao, Fangli. (2022). Arctic Ocean Freshwater in CMIP6 Coupled Models. doi:10.1029/2022ef002878

[9] DOI Dahlke, Flemming T.; Wohlrab, Sylke; Butzin, Martin; Pörtner, Hans-Otto. (2020). Thermal bottlenecks in the life cycle define climate vulnerability of fish. doi:10.1126/science.aaz3658

[10] DOI Weijer, W.; Cheng, W.; Garuba, O. A.; Hu, A.; Nadiga, B. T. (2020). CMIP6 Models Predict Significant 21st Century Decline of the Atlantic Meridional Overturning Circulation. doi:10.1029/2019gl086075

[11] DOI Yu, Qiurun; Huang, Yi. (2023). A Dissection of the Inter-model Spread of the Aerosol Direct Radiative Effect in CMIP6 Models. doi:10.22541/essoar.168771423.33231547/v1

[12] DOI Lalande, Mickaël; Ménégoz, Martin; Krinner, Gerhard; Naegeli, Kathrin; Wunderle, Stefan. (2021). Climate change in the High Mountain Asia in CMIP6. doi:10.5194/esd-12-1061-2021

[13] DOI Paçal, Aytaç; Hassler, Birgit; Weigel, Katja; Kurnaz, M. Levent; Wehner, Michael F.; Eyring, Veronika. (2023). Detecting Extreme Temperature Events Using Gaussian Mixture Models. doi:10.1029/2023jd038906

[14] DOI AYAR, Pradeebane VAITTINADA; Battisti, David S.; Li, Camille; King, Martin Peter; Vrac, Mathieu; Tjiputra, Jerry Fong. (2023). A regime view of ENSO flavours through clustering in CMIP6 models. doi:10.22541/essoar.167458065.54814300/v2

[15] DOI Hinrichs, Claudia; Hauck, Judith. (2022). Report on skill of CMIP6 models to simulate alkalinity and improved parameterizations for large scale alkalinity distribution. doi:10.3289/oceannets_d4.4

[16] DOI Andrade-Velázquez, Mercedes; Montero-Martínez, Martín José. (2023). Historical and Projected Trends of the Mean Surface Temperature in South-Southeast Mexico Using ERA5 and CMIP6. doi:10.3390/cli11050111

[17] DOI Vaittinada Ayar, Pradeebane; Battisti, David; Li, Camille; King, Martin; Vrac, Mathieu; Tjiputra, Jerry. (2024). A Regime View of ENSO Flavors Through Clustering in CMIP6 Models. doi:10.5194/egusphere-egu24-12936

[18] DOI Hinrichs, Claudia; Köhler, Peter; Völker, Christoph; Hauck, Judith. (2023). Alkalinity biases in CMIP6 Earth system models and implications for simulated CO2 drawdown via artificial alkalinity enhancement. doi:10.5194/bg-20-3717-2023

Is related to

[1] DOI Koven, Charles D.; Arora, Vivek K.; Cadule, Patricia; Fisher, Rosie A.; Jones, Chris D.; Lawrence, David M.; Lewis, Jared; Lindsay, Keith; Mathesius, Sabine; Meinshausen, Malte; Mills, Michael; Nicholls, Zebedee; Sanderson, Benjamin M.; Séférian, Roland; Swart, Neil C.; Wieder, William R.; Zickfeld, Kirsten. (2022). Multi-century dynamics of the climate and carbon cycle under both high and net negative emissions scenarios. doi:10.5194/esd-13-885-2022

[2] DOI Wong, Suki C. K.; McKinley, Galen A.; Seager, Richard. (2022). Equatorial Pacific pCO2 Interannual Variability in CMIP6 Models. doi:10.1029/2022jg007243

[3] DOI Diamond, Michael S.; Director, Hannah M.; Eastman, Ryan; Possner, Anna; Wood, Robert. (2020). Substantial Cloud Brightening From Shipping in Subtropical Low Clouds. doi:10.1029/2019av000111

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 Lee, J.-Y.; Marotzke, J.; Bala, G.; Cao, L.; Corti, S.; Dunne, J.P.; Engelbrecht, F.; Fischer, E.; Fyfe, J.C; Jones, C.; Maycock, A.; Mutemi, J.; Ndiaye, O.; Panickal, S.; Zhou,T. (2023). Future Global Climate: Scenario-Based Projections and Near-Term Information. 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:10.1017/9781009157896.006

[3] 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

[4] DOI Doblas-Reyes, F.J.; Sörensson, A.A.; Almazroui, M.; Dosio, A.; Gutowski, W.J.; Haarsma, R.; Hamdi, R.; Hewitson, B.; Kwon, W.-T.; Lamptey, B.L.; Maraun, D.; Stephenson, T.S.; Takayabu, I.; Terray, L.; Turner, A.; Zuo, Z. (2023). Linking Global to Regional Climate 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:10.1017/9781009157896.012

[5] DOI Seneviratne, S.I.; Zhang, X.; Adnan, M.; Badi, W.; Dereczynski, C.; Di Luca, A.; Ghosh, S.; Iskandar, I.; Kossin, J.; Lewis, S.; Otto, F.; Pinto, I.; Satoh, M.; Vicente-Serrano, S.M.; Wehner, M.; Zhou, B. (2023). Weather and Climate Extreme Events in a Changing Climate. 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:10.1017/9781009157896.013

[6] DOI Gutiérrez, J.M.; Jones, R.G.; Narisma, G.T.; Alves, L.M.; Amjad, M.; Gorodetskaya, I.V.; Grose, M.; Klutse, N.A.B.; Krakovska, S.; Li, J.; Martínez-Castro, D.; Mearns, L.O.; Mernild, S.H.; Ngo-Duc, T.; van den Hurk, B.; Yoon, J.-H. (2023). Atlas. 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:10.1017/9781009157896.021

[7] 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

[8] DOI Koven, Charles D.; Arora, Vivek K.; Cadule, Patricia; Fisher, Rosie A.; Jones, Chris D.; Lawrence, David M.; Lewis, Jared; Lindsay, Keith; Mathesius, Sabine; Meinshausen, Malte; Mills, Michael; Nicholls, Zebedee; Sanderson, Benjamin M.; Séférian, Roland; Swart, Neil C.; Wieder, William R.; Zickfeld, Kirsten. (2022). Multi-century dynamics of the climate and carbon cycle under both high and net negative emissions scenarios. doi:10.5194/esd-13-885-2022

[9] DOI Wong, Suki C. K.; McKinley, Galen A.; Seager, Richard. (2022). Equatorial Pacific pCO2 Interannual Variability in CMIP6 Models. doi:10.1029/2022jg007243

[10] DOI Diamond, Michael S.; Director, Hannah M.; Eastman, Ryan; Possner, Anna; Wood, Robert. (2020). Substantial Cloud Brightening From Shipping in Subtropical Low Clouds. doi:10.1029/2019av000111

[11] DOI Canadell, J.G.; Monteiro, P.M.S; Costa, M.H.; Cotrim da Cunha, L.; Cox, P.M.; Eliseev, A.V.; Henson, S.; Ishii, M.; Jaccard, S.; Koven, C.; Lohila, A.; Patra, P.K.; Piao, S.; Rogelj, J.; Syampungani, S.; Zaehle, S.; Zickfeld, K. (2023). Global Carbon and other Biogeochemical Cycles and Feedbacks. 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:10.1017/9781009157896.007

[12] DOI Douville, H.; Raghavan, K.; Renwick, J.; Allan, R.P.; Arias, P.A.; Barlow, M.; Cerezo-Mota, R.; Cherchi, A.; Gan, T.Y.; Gergis, J.; Jiang, D.; Khan, A.; Pokam Mba, W.; Rosenfeld, D.; Tierney, J.; Zolina, O. (2023). Water Cycle Changes. 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:10.1017/9781009157896.010

[13] DOI Bombardi, Rodrigo J.; Boos, William R. (2021). Explaining Globally Inhomogeneous Future Changes in Monsoons Using Simple Moist Energy Diagnostics. doi:10.1175/jcli-d-20-1012.1

[14] DOI Rohr, Tyler; Richardson, Anthony J.; Lenton, Andrew; Chamberlain, Matthew A.; Shadwick, Elizabeth H. (2023). Zooplankton grazing is the largest source of uncertainty for marine carbon cycling in CMIP6 models. doi:10.1038/s43247-023-00871-w

[15] DOI Rajulapati, Chandra Rupa; Papalexiou, Simon Michael. (2023). Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method. doi:10.1029/2023ea002823

[16] DOI Krause, Andreas; Papastefanou, Phillip; Gregor, Konstantin; Layritz, Lucia S.; Zang, Christian S.; Buras, Allan; Li, Xing; Xiao, Jingfeng; Rammig, Anja. (2022). Quantifying the impacts of land cover change on gross primary productivity globally. doi:10.1038/s41598-022-23120-0

[17] DOI Wong, Suki Cheuk-Kiu; McKinley, Galen A; Seager, Richard. (2022). Equatorial Pacific pCO2 Interannual Variability in CMIP6 Models. doi:10.1002/essoar.10512730.1

[18] DOI Smith, Callum; Baker, Jessica; Robertson, Eddy; Chadwick, Robin; Kelley, Douglas; Argles, Arthur; Coelho, Caio; Castilho, Dayana; Kubota, Paulo; Talamoni, Isabella; Spracklen, Dominick. (2023). Observed and simulated local climate responses to tropical deforestation. doi:10.5194/egusphere-egu23-5938

[19] DOI Williamson, Tanja N.; Barton, Christopher D. (2020). Hydrologic modeling to examine the influence of the forestry reclamation approach and climate change on mineland hydrology. doi:10.1016/j.scitotenv.2020.140605

Parent

WCRP CMIP6 CMIP CNRM-CERFACS CNRM-ESM2-1

Details

Attached Datasets ( 4731 )

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WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

WCRP CMIP6 CMIP CNRM-CERFACS CNRM-ESM2-1 historical

hdl:21.14106/db7de4478d3da1776841c3614d1cc2b2b3091364

Seferian, Roland