NCAR CESM2 model output prepared for CMIP6 CMIP historical

Danabasoglu, Gokhan

WCRP CMIP6 CMIP NCAR CESM2 historical

hdl:21.14106/53e6d93ba3f1369bf265892b22aa114ccb1a00ec

Danabasoglu, Gokhan

Dataset Group

CESM2 CMIP CMIP6 historical NCAR

Summary: These data include all datasets published for 'CMIP6.CMIP.NCAR.CESM2.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 CESM2 climate model, released in 2018, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 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: Gary Strand (
strandwg@nullucar.edu
0000-0001-9740-0104)
Location(s): global
Spatial Coverage: Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage: 1850-01-01 to 2015-12-16 (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: 51.33 TiB (56439971590428 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2019-03-08
Future Review Date: 2033-05-25

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Cite as: Danabasoglu, Gokhan (2023). NCAR CESM2 model output prepared for CMIP6 CMIP historical. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4863366

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Funding: National Science Foundation

Consistency report

as consistent as the model(s) CESM2

Description: as consistent as the model(s) CESM2

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance "approved by WDCC"

Description: All TQA checks were passed for WCRP CMIP6 CMIP NCAR CESM2 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: 2024-11-26

Contact type	Person	ORCID	Organization
Contact	Gary Strand	0000-0001-9740-0104	National Center for Atmospheric Research
Author	Gokhan Danabasoglu	0000-0003-4676-2732	National Center for Atmospheric Research
Funder	-	-	National Science Foundation

Cites

[1] DOI Danabasoglu, Gokhan. (2017). Community Earth System Model version 2. doi:10.5065/D67H1H0V

Is part of

[1] DOI Danabasoglu, Gokhan. (2019). NCAR CESM2 model output prepared for CMIP6 CMIP historical. doi:10.22033/ESGF/CMIP6.7627

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 Faye, Aissatou; Akinsanola, Akintomide Afolayan. (2021). Evaluation of extreme precipitation indices over West Africa in CMIP6 models. doi:10.1007/s00382-021-05942-2

[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 Kvale, Karin; Keller, David P.; Koeve, Wolfgang; Meissner, Katrin J.; Somes, Chris; Yao, Wanxuan; Oschlies, Andreas. (2020). Explicit silicate cycling in the Kiel Marine Biogeochemistry Model, version 3 (KMBM3) embedded in the UVic ESCM version 2.9. doi:10.5194/gmd-2020-235

[6] 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

[7] DOI Ayodele, Adigun Paul; Precious, Ebiendele Eromosele; Brhane, Ermias Sisay; Seun, Adawa Ifeoluwa. (2022). CMIP6 multi-model evaluation of summer extreme precipitation over East Asia. doi:10.1007/s40808-022-01433-3

[8] DOI Loechli, Morgan; Stephens, Britton B.; Commane, Roisin; Chevallier, Frederic; McKain, Kathryn; Ralph, Keeling; Morgan, Eric; Patra, Prabir K.; Sargent, Maryann; Sweeney, Colm; Keppel-Aleks, Gretchen. (2022). Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations. doi:10.1002/essoar.10512001.1

[9] 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

[10] 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

[11] DOI Wang, Haolin; Lu, Xiao; Jacob, Daniel J.; Cooper, Owen R.; Chang, Kai-Lan; Li, Ke; Gao, Meng; Liu, Yiming; Sheng, Bosi; Wu, Kai; Wu, Tongwen; Zhang, Jie; Sauvage, Bastien; Nédélec, Philippe; Blot, Romain; Fan, Shaojia. (2022). Global tropospheric ozone trends, attributions, and radiative impacts in 1995–2017: an integrated analysis using aircraft (IAGOS) observations, ozonesonde, and multi-decadal chemical model simulations. doi:10.5194/acp-2022-381

[12] DOI Singh, Charu. (2022). Intra-seasonal oscillations of South Asian summer monsoon in coupled climate model cohort CMIP6. doi:10.1007/s00382-022-06323-z

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

[14] 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

[15] 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

[16] 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

[17] DOI Morgenstern, Olaf; Kinnison, Douglas E.; Mills, Michael; Michou, Martine; Horowitz, Larry W.; Lin, Pu; Deushi, Makoto; Yoshida, Kohei; O’Connor, Fiona M.; Tang, Yongming; Abraham, N. Luke; Keeble, James; Dennison, Fraser; Rozanov, Eugene; Egorova, Tatiana; Sukhodolov, Timofei; Zeng, Guang. (2022). Comparison of Arctic and Antarctic Stratospheric Climates in Chemistry Versus No‐Chemistry Climate Models. doi:10.1029/2022jd037123

[18] DOI Jönsson, A., Bender, F. A. (2022). Persistence and Variability of Earth`s Interhemispheric Albedo Symmetry in 19 Years of CERES EBAF Observations. doi:10.1175/jcli-d-20-0970.1

[19] 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

[20] DOI Kunchala, Ravi Kumar; Attada, Raju; Karumuri, Rama Krishna; Seelanki, Vivek; Singh, Bhupendra Bahadur; Ashok, Karumuri; Hoteit, Ibrahim. (2022). Aerosol Optical Depth over the Middle East and North Africa region in CMIP6 Models: Climatology, Variability, and Trends. doi:10.21203/rs.3.rs-1903026/v1

[21] DOI Bjarke, Nels; Barsugli, Joseph; Livneh, Ben. (2023). Ensemble of CMIP6 derived reference and potential evapotranspiration with radiative and advective components. doi:10.1038/s41597-023-02290-0

[22] DOI Vogel, Annika; Alessa, Ghazi; Scheele, Robert; Weber, Lisa; Dubovik, Oleg; North, Peter; Fiedler, Stephanie. (2022). Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products. doi:10.1029/2021jd035483

[23] DOI MAKINDE, AKINTUNDE Israel; Abiodun, Babatunde J.; James, Rachel; Washington, Richard; Dyer, Ellen; Webb, Tom. (2022). How Well Do CMIP6 Models Simulate the Influence of the West African Westerly Jet on Sahel Precipitation?. doi:10.21203/rs.3.rs-1274137/v1

[24] DOI Olmo, M. E.; Espinoza, J.‐C.; Bettolli, M. L.; Sierra, J. P.; Junquas, C.; Arias, P. A.; Moron, V.; Balmaceda‐Huarte, R. (2022). Circulation Patterns and Associated Rainfall Over South Tropical South America: GCMs Evaluation During the Dry‐To‐Wet Transition Season. doi:10.1029/2022jd036468

Is documented by

[1] DOI C. M. Bitz, M.M. Holland, M. Eby, and A. J. Weaver. (2015). Simulating the ice-thickness distribution in a coupled climate model. doi:10.1029/1999JC000113

[2] DOI Bitz, C. M.; Holland, M. M.; Weaver, A. J.; Eby, M. (1900). Simulating the ice-thickness distribution in a coupled climate model. doi:10.1029/1999jc000113

Is related to

[1] DOI Akinsanola, Akintomide Afolayan; Ongoma, Victor; Kooperman, Gabriel J. (2021). Evaluation of CMIP6 models in simulating the statistics of extreme precipitation over Eastern Africa. doi:10.1016/j.atmosres.2021.105509

[2] DOI Wang, Haolin; Lu, Xiao; Jacob, Daniel J.; Cooper, Owen R.; Chang, Kai-Lan; Li, Ke; Gao, Meng; Liu, Yiming; Sheng, Bosi; Wu, Kai; Wu, Tongwen; Zhang, Jie; Sauvage, Bastien; Nédélec, Philippe; Blot, Romain; Fan, Shaojia. (2022). Global tropospheric ozone trends, attributions, and radiative impacts in 1995–2017: an integrated analysis using aircraft (IAGOS) observations, ozonesonde, and multi-decadal chemical model simulations. doi:10.5194/acp-22-13753-2022

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

[4] 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

[5] DOI Rivera, Paris. (2022). Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala. doi:10.1007/s41748-022-00333-x

[6] DOI Loechli, Morgan; Stephens, Britton B.; Commane, Roisin; Chevallier, Frédéric; McKain, Kathryn; Keeling, Ralph F.; Morgan, Eric J.; Patra, Prabir K.; Sargent, Maryann R.; Sweeney, Colm; Keppel‐Aleks, Gretchen. (2023). Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations. doi:10.1029/2022gb007520

[7] 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

[8] 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

[9] DOI Watters, Daniel; Battaglia, Alessandro; Allan, Richard P. (2021). The Diurnal Cycle of Precipitation according to Multiple Decades of Global Satellite Observations, Three CMIP6 Models, and the ECMWF Reanalysis. doi:10.1175/jcli-d-20-0966.1

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

[11] 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

[12] 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

[13] 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

[14] DOI Zhou, Xuhui; Li, Nan; Du, Zhenggang; Shao, Junjiong; Gao, Yukun; Zhou, Lingyan; Zhou, Guiyao; Ji, Yuhuang; Wen, Xuefa; Reich, Peter B. (2023). Increasing moisture limitation predominates recent decline trend in ecosystem respiration. doi:10.21203/rs.3.rs-3350160/v1

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 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

[9] 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

Parent

WCRP CMIP6 CMIP NCAR CESM2

Details

Attached Datasets ( 8190 )

Details for selected entry

Parent project(s)

WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6_4863366] [Entry id: 4863366]