Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.CMIP.MRI.MRI-ESM2-0.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 MRI-ESM2.0 climate model, released in 2017, includes the following components: aerosol: MASINGAR mk2r4 (TL95; 192 x 96 longitude/latitude; 80 levels; top level 0.01 hPa), atmos: MRI-AGCM3.5 (TL159; 320 x 160 longitude/latitude; 80 levels; top level 0.01 hPa), atmosChem: MRI-CCM2.1 (T42; 128 x 64 longitude/latitude; 80 levels; top level 0.01 hPa), land: HAL 1.0, ocean: MRI.COM4.4 (tripolar primarily 0.5 deg latitude/1 deg longitude with meridional refinement down to 0.3 deg within 10 degrees north and south of the equator; 360 x 364 longitude/latitude; 61 levels; top grid cell 0-2 m), ocnBgchem: MRI.COM4.4, seaIce: MRI.COM4.4. The model was run by the Meteorological Research Institute, Tsukuba, Ibaraki 305-0052, Japan (MRI) in native nominal resolutions: aerosol: 250 km, atmos: 100 km, atmosChem: 250 km, land: 100 km, ocean: 100 km, ocnBgchem: 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: 2019-02-22: initially published under CC BY-SA 4.0; 2022-08-07: 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
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
IsCitedByOcean carbon cycle feedbacks in CMIP6 models: contributions from different basins. Katavouta, Anna; Williams, Richard G.. DOI:10.5194/bg-18-3189-2021
IsCitedByMean State AMOC Affects AMOC Weakening through Subsurface Warming in the Labrador Sea. Lin, Yuan-Jen; Rose, Brian E. J.; Hwang, Yen-Ting. DOI:10.1175/jcli-d-22-0464.1
IsRelatedToNorth Atlantic Oscillation impact on the Atlantic Meridional Overturning Circulation shaped by the mean state. Kim, Hyo-Jeong; An, Soon-Il; Park, Jae-Heung; Sung, Mi-Kyung; Kim, Daehyun; Choi, Yeonju; Kim, Jin-Soo. DOI:10.1038/s41612-023-00354-x
IsRelatedToDynamic sea-level changes and potential implications for storm surges in the UK: a storylines perspective. Bulgin, Claire E; Mecking, Jennifer V; Harvey, Ben J; Jevrejeva, Svetlana; McCarroll, Niall F; Merchant, Christopher J; Sinha, Bablu. DOI:10.1088/1748-9326/acc6df
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
IsReferencedByNorth Atlantic overturning and water mass transformation in CMIP6 models. Jackson, L. C.; Petit, T.. DOI:10.1007/s00382-022-06448-1
IsReferencedByReduction in Near‐Surface Wind Speeds With Increasing CO2 May Worsen Winter Air Quality in the Indo‐Gangetic Plain. Paulot, Fabien; Naik, Vaishali; W. Horowitz, Larry. DOI:10.1029/2022gl099039
IsReferencedByTropospheric Expansion Under Global Warming Reduces Tropical Lower Stratospheric Ozone. Match, Aaron; Gerber, Edwin P.. DOI:10.1029/2022gl099463
IsReferencedByThe response of hemispheric differences in Earth’s albedo to CO<sub>2</sub> forcing in coupled models and its implications for shortwave radiative feedback strength. Jönsson, Aiden R.; Bender, Frida A.-M.. DOI:10.5194/egusphere-2022-811
IsReferencedByDisentangling Internal and External Contributions to Atlantic Multidecadal Variability Over the Past Millennium. Fang, Shih‐Wei; Khodri, Myriam; Timmreck, Claudia; Zanchettin, Davide; Jungclaus, Johann. DOI:10.1029/2021gl095990
IsReferencedByImpact of ocean heat transport on sea ice captured by a simple energy balance model. Aylmer, Jake R.; Ferreira, David; Feltham, Daniel L.. DOI:10.1038/s43247-024-01565-7
IsReferencedByDisentangling Internal and External Contribution to Atlantic Multidecadal Variability over Past Millennium. Fang, Shih-Wei; Khodri, Myriam; Timmreck, Claudia; Zanchettin, Davide; Jungclaus, Johann. DOI:10.5194/egusphere-egu22-9547