Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.CMIP.FIO-QLNM.FIO-ESM-2-0' 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 FIO-ESM 2.0 climate model, released in 2018, includes the following components: aerosol: Prescribed monthly fields, atmos: CAM4 (0.9x1.25 finite volume grid; 192 x 288 longitude/latitude; 26 levels; top level ~2 hPa), land: CLM4.0 (same grid at atmos), ocean: POP2-W (POP2 coupled with MASNUM surface wave model, Displaced Pole; 320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4.0 (same grid as ocean). The model was run by the FIO (First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China), QNLM (Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China) (FIO-QLNM) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km. Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).
CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).
The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.
CMIP6 model data is evolving, new versions are added when datasets are changed or additions are made. Cite this data collection according to the Data Citation Guidelines (http://bit.ly/2gBCuqM) and be sure to include the version number (e.g. v20210101). 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. - Here is the history of licenses governing these datasets: 2019-09-10: initially published under CC BY-SA 4.0; 2022-09-27: relaxed to CC BY 4.0
IsCitedByOcean, 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.)]. 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.. DOI:10.1017/9781009157896.011
IsCitedByFuture 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.)]. 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.. DOI:10.1017/9781009157896.006
IsCitedByHuman 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.)]. 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.. DOI:10.1017/9781009157896.005
IsCitedByLinking 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.)]. 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.. DOI:10.1017/9781009157896.012
IsCitedByWeather 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.)]. 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.. DOI:10.1017/9781009157896.013
IsCitedByClimate 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.)]. Intergovernmental Panel on Climate Change (IPCC). DOI:10.1017/9781009157896
IsCitedByWater 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.)]. 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.. DOI:10.1017/9781009157896.010
IsRelatedToIntermodel Spread in Walker Circulation Responses Linked to Spread in Moist Stability and Radiation Responses. Duffy, Margaret L.; O’Gorman, Paul A.. DOI:10.1029/2022jd037382
IsReferencedByStringent mitigation substantially reduces risk of unprecedented near-term warming rates. McKenna, Christine M.; Maycock, Amanda C.; Forster, Piers M.; Smith, Christopher J.; Tokarska, Katarzyna B.. DOI:10.1038/s41558-020-00957-9
IsReferencedByFIO-ESM v2.0 CORE2-forced experiment for the CMIP6 Ocean Model Intercomparison Project. Shu, Qi; Song, Zhenya; Bao, Ying; Yang, Xiaodan; Song, Yajuan; Li, Xinfang; Wei, Meng; Qiao, Fangli. DOI:10.1007/s13131-022-2000-x
IsReferencedByAvaliação das simulações de temperatura e precipitação de um subconjunto de modelos do CMIP6 para o Brasil. Correa, Wesley de Souza Campos; Soares, Wagner Rodrigues; Aylas, Georgynio Yossimar Rosales; Reis Junior, Neyval Costa; Marengo, José Antonio; Chou, Sin Chan; Nobre, Carlos. DOI:10.14295/derb.v43.774
IsReferencedByTerrestrial amplification of past, present, and future climate change. Seltzer, Alan M.; Blard, Pierre-Henri; Sherwood, Steven C.; Kageyama, Masa. DOI:10.1126/sciadv.adf8119
IsReferencedByConstraining Arctic Climate Projections of Wintertime Warming With Surface Turbulent Flux Observations and Representation of Surface-Atmosphere Coupling. Boisvert, Linette N.; Boeke, Robyn C.; Taylor, Patrick C.; Parker, Chelsea L.. DOI:10.3389/feart.2022.765304
IsReferencedBySolar radiation variability across Nigeria’s climatic zones: a validation and projection study with CORDEX, CMIP5, and CMIP6 models. Olusegun, Christiana; Ojo, Olusola; Olusola, Adeyemi; Ogunjo, Samuel. DOI:10.1007/s40808-023-01848-6
IsReferencedByEvaluating the effects of CMIP6 model uncertainty on extreme flows of the Caspian Hyrcanian forest watersheds by BMA method. Lotfirad, Morteza; Adib, Arash; Riyahi, Mohammad Mehdi; Jafarpour, Mohammad. DOI:10.21203/rs.3.rs-1479406/v1
IsReferencedByEvaluating the effect of the uncertainty of CMIP6 models on extreme flows of the Caspian Hyrcanian forest watersheds using the BMA method. Lotfirad, Morteza; Adib, Arash; Riyahi, Mohammad Mehdi; Jafarpour, Mohammad. DOI:10.1007/s00477-022-02269-0
IsReferencedByHow Well Do CMIP6 Models Simulate the Influence of the West African Westerly Jet on Sahel Precipitation?. MAKINDE, AKINTUNDE Israel; Abiodun, Babatunde J.; James, Rachel; Washington, Richard; Dyer, Ellen; Webb, Tom. DOI:10.21203/rs.3.rs-1274137/v1
IsReferencedByCMIP6 Models Rarely Simulate Antarctic Winter Sea‐Ice Anomalies as Large as Observed in 2023. Diamond, Rachel; Sime, Louise C.; Holmes, Caroline R.; Schroeder, David. DOI:10.1029/2024gl109265
ReferencesDevelopment and evaluation of an Earth System Model with surface gravity waves. Qiao F, Song Z, Bao Y, Song Y, Shu Q, Huang C, Zhao W. DOI:10.1002/jgrc.20327
ReferencesFIO‐ESM Version 2.0: Model Description and Evaluation. Bao, Y., Song, Z., & Qiao, F.. DOI:10.1029/2019JC016036