Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets. These data include all datasets published for 'CMIP6.CMIP.INM.INM-CM5-0.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 INM-CM5-0 climate model, released in 2016, includes the following components: aerosol: INM-AER1, atmos: INM-AM5-0 (2x1.5; 180 x 120 longitude/latitude; 73 levels; top level sigma = 0.0002), land: INM-LND1, ocean: INM-OM5 (North Pole shifted to 60N, 90E. 0.5x0.25; 720 x 720 longitude/latitude; 40 levels; vertical sigma coordinate), seaIce: INM-ICE1. The model was run by the Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia (INM) in native nominal resolutions: aerosol: 100 km, 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: 2019-06-10: 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
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
IsReferencedByCharacteristic changes in climate projections over Indus Basin using the bias corrected CMIP6 simulations. Koteswara Rao, K.; Lakshmi Kumar, T. V.; Kulkarni, Ashwini; Chowdary, Jasti S.; Desamsetti, Srinivas. DOI:10.1007/s00382-021-06108-w
IsReferencedByEvaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations. Dike, Victor Nnamdi; Lin, Zhaohui; Fei, Kece; Langendijk, Gaby S.; Nath, Debashis. DOI:10.1002/joc.7641
IsReferencedByProjected wind changes in the Caribbean Sea based on CMIP6 models. Bustos Usta, David Francisco; Torres Parra, Rafael Ricardo. DOI:10.1007/s00382-022-06535-3
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
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
IsReferencedByTrivariate frequency analysis of droughts using copulas under future climate change over Vidarbha region in India. Datta, Rajarshi; Reddy, Manne Janga. DOI:10.1007/s00477-023-02484-3
IsReferencedByRegime-oriented causal model evaluation of Atlantic-Pacific teleconnections in CMIP6. Karmouche, Soufiane; Galytska, Evgenia; Runge, Jakob; Meehl, Gerald A.; Phillips, Adam S.; Weigel, Katja; Eyring, Veronika. DOI:10.5194/egusphere-2022-1013
IsReferencedByAssessment of temperature changes over Iran during the twenty-first century using CMIP6 models under SSP1-26, SSP2-4.5, and SSP5-8.5 scenarios. Usta, David Francisco Bustos; Teymouri, Maryam; Chatterjee, Uday. DOI:10.1007/s12517-022-09709-9
IsRelatedToMulti-decadal variation of ENSO forecast skill since the late 1800s. Lou, Jiale; Newman, Matthew; Hoell, Andrew. DOI:10.21203/rs.3.rs-2544766/v1
IsRelatedToCMIP6 models informed summer human thermal discomfort conditions in Indian regional hotspot. Shukla, Krishna Kumar; Attada, Raju. DOI:10.1038/s41598-023-38602-y
IsRelatedToEnsemble of CMIP6 derived reference and potential evapotranspiration with radiative and advective components. Bjarke, Nels; Barsugli, Joseph; Livneh, Ben. DOI:10.1038/s41597-023-02290-0
IsReferencedByDeep learning downscaled high-resolution daily near surface meteorological datasets over East Asia. Lin, Hai; Tang, Jianping; Wang, Shuyu; Wang, Shuguang; Dong, Guangtao. DOI:10.1038/s41597-023-02805-9
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
IsRelatedToIndian heatwaves in a future climate with varying hazard thresholds. Rao, K Koteswara; Jyoteeshkumar Reddy, P; Chowdary, Jasti S. DOI:10.1088/2752-5295/acb077
IsReferencedByClimate change projections over Indus basin using CMIP6 model simulations. KUNDETI, KOTESWARARAO; T.V, Lakshmi Kumar; Kulkarni, Ashwini; J.S, Chowdary; Desamsetti, Srinivas. DOI:10.21203/rs.3.rs-365154/v1
IsReferencedByMulti-decadal variation of ENSO forecast skill since the late 1800s. Lou, Jiale; Newman, Matthew; Hoell, Andrew. DOI:10.1038/s41612-023-00417-z
IsReferencedByRegime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6. Karmouche, Soufiane; Galytska, Evgenia; Runge, Jakob; Meehl, Gerald A.; Phillips, Adam S.; Weigel, Katja; Eyring, Veronika. DOI:10.5194/esd-14-309-2023
IsReferencedByINTRAGRO: A machine learning approach to predict future growth of trees under climate change. Aryal, Sugam; Grießinger, Jussi; Dyola, Nita; Gaire, Narayan Prasad; Bhattarai, Tribikram; Bräuning, Achim. DOI:10.1002/ece3.10626