Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.CMIP.BCC.BCC-CSM2-MR.piControl' 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 BCC-CSM 2 MR climate model, released in 2017, includes the following components: atmos: BCC_AGCM3_MR (T106; 320 x 160 longitude/latitude; 46 levels; top level 1.46 hPa), land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 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: 2018-10-09: initially published under CC BY-SA 4.0; 2022-09-28 relaxed to CC BY 4.0
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
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
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
IsReferencedByThermal bioclimatic indicators over Southeast Asia: present status and future projection using CMIP6. Hamed, Mohammed Magdy; Nashwan, Mohamed Salem; Shahid, Shamsuddin; Ismail, Tarmizi bin; Dewan, Ashraf; Asaduzzaman, Md. DOI:10.1007/s11356-022-22036-6
IsReferencedByA Mass and Energy Conservation Analysis of Drift in the CMIP6 Ensemble. Irving, Damien; Hobbs, Will; Church, John; Zika, Jan. DOI:10.1175/jcli-d-20-0281.1
IsReferencedByShould multivariate bias corrections of climate simulations account for changes of rank correlation over time?. Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal. DOI:10.1002/essoar.10510318.1
IsReferencedByChanges in temperature–precipitation correlations over Europe: are climate models reliable?. Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal. DOI:10.1007/s00382-022-06436-5
IsReferencedByProjected Changes in the Atmospheric Dynamics of Climate Extremes in France. Yiou, Pascal; Faranda, Davide; Thao, Soulivanh; Vrac, Mathieu. DOI:10.3390/atmos12111440
IsReferencedByNorthward expansion of fire-adaptative vegetation in future warming. Liu, Meng; Yang, Linqing. DOI:10.1088/1748-9326/ac417d
IsReferencedByThe Pacific Decadal Precession and its Relationship to Tropical Pacific Decadal Variability in CMIP6 Models. Rogers, Matthew H.; Furtado, Jason; Anderson, Bruce. DOI:10.21203/rs.3.rs-390152/v1
IsReferencedByData‐Driven Worldwide Quantification of Large‐Scale Hydroclimatic Covariation Patterns and Comparison With Reanalysis and Earth System Modeling. Ghajarnia, Navid; Kalantari, Zahra; Destouni, Georgia. DOI:10.1029/2020wr029377
IsCitedByThe pacific decadal precession and its relationship to tropical pacific decadal variability in CMIP6 models. Rogers, Matthew H.; Furtado, Jason C.; Anderson, Bruce T.. DOI:10.1007/s00382-021-06114-y
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
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
IsCitedByImpact of climate change on the potential geographical suitability of cassava and sweet potato vs. rice and potato in India. Raji, Pushpalatha; Shiny, Rajan; Byju, Gangadharan. DOI:10.1007/s00704-021-03763-1
IsReferencedByMachine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios. Niazkar, Majid; Goodarzi, Mohammad Reza; Fatehifar, Atiyeh; Abedi, Mohammad Javad. DOI:10.1007/s00704-022-04274-3
IsReferencedByShould Multivariate Bias Corrections of Climate Simulations Account for Changes of Rank Correlation Over Time?. Vrac, M.; Thao, S.; Yiou, P.. DOI:10.1029/2022jd036562