WCRP CMIP6 OMIP CCCma CanESM5

[1] DOI Swart, Neil Cameron; Cole, Jason N.S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Jiao, Yanjun; Lee, Warren G.; Majaess, Fouad; Saenko, Oleg A.; Seiler, Christian; Seinen, Clint; Shao, Andrew; Solheim, Larry; von Salzen, Knut; Yang, Duo; Winter, Barbara; Sigmond, Michael. (2019). CCCma CanESM5 model output prepared for CMIP6 OMIP. doi:10.22033/ESGF/CMIP6.1314

[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 Kwiatkowski, Lester; Torres, Olivier; Bopp, Laurent; Aumont, Olivier; Chamberlain, Matthew; Christian, James R.; Dunne, John P.; Gehlen, Marion; Ilyina, Tatiana; John, Jasmin G.; Lenton, Andrew; Li, Hongmei; Lovenduski, Nicole S.; Orr, James C.; Palmieri, Julien; Santana-Falcón, Yeray; Schwinger, Jörg; Séférian, Roland; Stock, Charles A.; Tagliabue, Alessandro; Takano, Yohei; Tjiputra, Jerry; Toyama, Katsuya; Tsujino, Hiroyuki; Watanabe, Michio; Yamamoto, Akitomo; Yool, Andrew; Ziehn, Tilo. (2020). Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections. doi:10.5194/bg-17-3439-2020

[3] DOI Kravitz, Ben; MacMartin, Douglas G.; Visioni, Daniele; Boucher, Olivier; Cole, Jason N. S.; Haywood, Jim; Jones, Andy; Lurton, Thibaut; Nabat, Pierre; Niemeier, Ulrike; Robock, Alan; Séférian, Roland; Tilmes, Simone. (2020). Comparing different generations of idealized solar geoengineering simulations in the Geoengineering Model Intercomparison Project (GeoMIP). doi:10.5194/acp-2020-732

[4] DOI Kravitz, Ben; MacMartin, Douglas G.; Visioni, Daniele; Boucher, Olivier; Cole, Jason N. S.; Haywood, Jim; Jones, Andy; Lurton, Thibaut; Nabat, Pierre; Niemeier, Ulrike; Robock, Alan; Séférian, Roland; Tilmes, Simone. (2021). Comparing different generations of idealized solar geoengineering simulations in the Geoengineering Model Intercomparison Project (GeoMIP). doi:10.5194/acp-21-4231-2021

[5] 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

[6] DOI McKenna, Christine M.; Maycock, Amanda C.; Forster, Piers M.; Smith, Christopher J.; Tokarska, Katarzyna B. (2020). Stringent mitigation substantially reduces risk of unprecedented near-term warming rates. doi:10.1038/s41558-020-00957-9

[7] DOI Hannachi, Abdel; Finke, Kathrin; Trendafilov, Nickolay. (2022). Common EOFs: a tool for multi-model comparison and evaluation. doi:10.1007/s00382-022-06409-8

[8] 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

[9] 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

[10] 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

[11] DOI Liu, Jingchen; Guan, Xiaodan; Gao, Zhaokui; Huang, Xiaoqian; Ma, Jieru; He, Yongli; Xie, Tiejun. (2021). Inter-decadal variability of the heat source over the Tibetan Plateau. doi:10.1007/s00382-021-05929-z

[12] DOI Rogers, Matthew H.; Furtado, Jason; Anderson, Bruce. (2021). The Pacific Decadal Precession and its Relationship to Tropical Pacific Decadal Variability in CMIP6 Models. doi:10.21203/rs.3.rs-390152/v1

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

[14] DOI Rogers, Matthew H.; Furtado, Jason C.; Anderson, Bruce T. (2022). The pacific decadal precession and its relationship to tropical pacific decadal variability in CMIP6 models. doi:10.1007/s00382-021-06114-y

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

[16] 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

[17] DOI Han, Pengfei; Long, Di; Zhao, Fanyu; Slater, Louise J. (2023). Response of Two Glaciers in Different Climate Settings of the Tibetan Plateau to Climate Change Through Year 2100 Using a Hybrid Modeling Approach. doi:10.1029/2022wr033618

[18] 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

[19] 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

[20] DOI Zhao, Siyi; Zhang, Jiankai; Zhang, Chongyang; Xu, Mian; Keeble, James; Wang, Zhe; Xia, Xufan. (2022). Evaluating Long-Term Variability of the Arctic Stratospheric Polar Vortex Simulated by CMIP6 Models. doi:10.3390/rs14194701

[21] DOI Çetin, I. I.; Yücel, I.; Yılmaz, M. T.; Önol, B. (2024). Historical variability of Coupled Model Intercomparison Project Version 6 (CMIP6)-driven surface winds and global reanalysis data for the Eastern Mediterranean. doi:10.1007/s00704-024-04869-y

[22] DOI Jönsson, Aiden R.; Bender, Frida A.-M. (2022). The response of hemispheric differences in Earth’s albedo to CO₂ forcing in coupled models and its implications for shortwave radiative feedback strength. doi:10.5194/egusphere-2022-811

[23] DOI Srinivasulu, Aditya; Assefa, Alembrhan; Srinivasulu, Chelmala. (2021). Ecological niche modelling predicts significant impacts of future climate change on two endemic rodents in eastern Africa. doi:10.11609/jott.6715.13.5.18164-18176

[24] DOI Papalexiou, Simon Michael; Rajulapati, Chandra Rupa; Andreadis, Konstantinos M.; Foufoula‐Georgiou, Efi; Clark, Martyn P.; Trenberth, Kevin E. (2021). Probabilistic Evaluation of Drought in CMIP6 Simulations. doi:10.1029/2021ef002150

[25] DOI Rodríguez-Montes, María; Ayarzagüena, Blanca; Guijarro, María. (2022). Polar night jet characterization through artificial intelligence. doi:10.1016/j.cageo.2022.105176

[26] DOI Shukla, Krishna Kumar; Attada, Raju. (2023). CMIP6 models informed summer human thermal discomfort conditions in Indian regional hotspot. doi:10.1038/s41598-023-38602-y

[27] DOI Kreienkamp, Frank; Lorenz, Philip; Geiger, Tobias. (2020). Statistically Downscaled CMIP6 Projections Show Stronger Warming for Germany. doi:10.3390/atmos11111245

[28] DOI Seltzer, Alan M.; Blard, Pierre-Henri; Sherwood, Steven C.; Kageyama, Masa. (2023). Terrestrial amplification of past, present, and future climate change. doi:10.1126/sciadv.adf8119

[29] DOI Ayarzagüena, Blanca; Charlton-Pérez, Andrew J.; Butler, Amy H.; Hitchcock, Peter; Simpson, Isla R.; Polvani, Lorenzo M.; Butchart, Neal; Gerber, Edwin P.; Gray, Lesley; Hassler, Birgit; Lin, Pu; Lott, François; Manzini, Elisa; Mizuta, Ryo; Orbe, Clara; Osprey, Scott; Saint-Martin, David; Sigmond, Michael; Taguchi, Masakazu; Volodin, Evgeny; DynVarMIP-SSW. (2020). Uncertainty in the response of sudden stratospheric warmings and stratosphere- troposphere coupling to quadrupled CO2 concentrations in CMIP6 models. doi:10.5194/egusphere-egu2020-11839

[30] DOI Duffy, Margaret L; O'Gorman, Paul A. (2022). Intermodel spread in Walker circulation responses linked to spread in moist stability and radiation responses. doi:10.22541/essoar.167078790.00035564/v1

[31] DOI Jönsson, Aiden. (2022). Reply on RC1. doi:10.5194/egusphere-2022-811-ac1

[32] DOI Jönsson, Aiden. (2022). Reply on RC2. doi:10.5194/egusphere-2022-811-ac2

[33] 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

[34] DOI Blanchet, Cécile L.; Ramisch, Arne; Tjallingii, Rik; Ionita, Monica; Laruelle, Louison; Bagge, Meike; Klemann, Volker; Brauer, Achim. (2024). Climatic pacing of extreme Nile floods during the North African Humid Period. doi:10.1038/s41561-024-01471-9

[35] DOI Paçal, Aytaç; Hassler, Birgit; Weigel, Katja; Kurnaz, M. Levent; Wehner, Michael F.; Eyring, Veronika. (2023). Detecting Extreme Temperature Events Using Gaussian Mixture Models. doi:10.1029/2023jd038906

[36] DOI Zhang, Le; Xue, Z. George. (2022). A Numerical reassessment of the Gulf of Mexico carbon system in connection with the Mississippi River and global ocean. doi:10.5194/bg-19-4589-2022

[37] DOI Rodgers, Keith B.; Schwinger, Jörg; Fassbender, Andrea J.; Landschützer, Peter; Yamaguchi, Ryohei; Frenzel, Hartmut; Stein, Karl; Müller, Jens Daniel; Goris, Nadine; Sharma, Sahil; Bushinsky, Seth; Chau, Thi‐Tuyet‐Trang; Gehlen, Marion; Gallego, M. Angeles; Gloege, Lucas; Gregor, Luke; Gruber, Nicolas; Hauck, Judith; Iida, Yosuke; Ishii, Masao; Keppler, Lydia; Kim, Ji‐Eun; Schlunegger, Sarah; Tjiputra, Jerry; Toyama, Katsuya; Vaittinada Ayar, Pradeebane; Velo, Antón. (2023). Seasonal Variability of the Surface Ocean Carbon Cycle: A Synthesis. doi:10.1029/2023gb007798

[38] DOI Kwiatkowski, Lester; Torres, Olivier; Bopp, Laurent; Aumont, Olivier; Chamberlain, Matthew; Christian, James; Dunne, John P.; Gehlen, Marion; Ilyina, Tatiana; John, Jasmin G.; Lenton, Andrew; Li, Hongmei; Lovenduski, Nicole S.; Orr, James C.; Palmieri, Julien; Schwinger, Jörg; Séférian, Roland; Stock, Charles A.; Tagliabue, Alessandro; Takano, Yohei; Tjiputra, Jerry; Toyama, Katsuya; Tsujino, Hiroyuki; Watanabe, Michio; Yamamoto, Akitomo; Yool, Andrew; Ziehn, Tilo. (2020). Twenty-first century ocean warming, acidification, deoxygenation, and upper ocean nutrient decline from CMIP6 model projections. doi:10.5194/bg-2020-16

[39] DOI Bhattacharya, Biswarup; Mohanty, Sachiko; Singh, Charu. (2022). Assessment of the potential of CMIP6 models in simulating the sea surface temperature variability over the tropical Indian Ocean. doi:10.1007/s00704-022-03952-6

[40] DOI Wong, Suki C. K.; McKinley, Galen A.; Seager, Richard. (2022). Equatorial Pacific pCO 2 Interannual Variability in CMIP6 Models. doi:10.7916/dzbv-zs62

[41] DOI Ayarzagüena, B.; Charlton‐Perez, A. J.; Butler, A. H.; Hitchcock, P.; Simpson, I. R.; Polvani, L. M.; Butchart, N.; Gerber, E. P.; Gray, L.; Hassler, B.; Lin, P.; Lott, F.; Manzini, E.; Mizuta, R.; Orbe, C.; Osprey, S.; Saint‐Martin, D.; Sigmond, M.; Taguchi, M.; Volodin, E. M.; Watanabe, S. (2020). Uncertainty in the Response of Sudden Stratospheric Warmings and Stratosphere‐Troposphere Coupling to Quadrupled CO₂ Concentrations in CMIP6 Models. doi:10.1029/2019jd032345

[42] DOI Zanchettin, Davide; Rubino, Angelo. (2024). Accelerated North Atlantic surface warming reshapes the Atlantic Multidecadal Variability. doi:10.1038/s43247-024-01804-x

[43] DOI Hulkkonen, Mira; Mielonen, Tero; Leppänen, Saara; Laakso, Anton; Kokkola, Harri. (2024). The role of tailored climate scenario information for the perceived legitimacy of climate policy paths. doi:10.21203/rs.3.rs-3691918/v1

[44] DOI Liu, Jinjuan; Zhao, Liang; Wang, Jingsong; Xiao, Ziniu. (2024). Detecting Relationship between the North–South Difference in Extreme Precipitation and Solar Cycle in China. doi:10.3390/atmos15020175

[45] DOI Iles, Carley E.; Samset, Bjørn H.; Sandstad, Marit; Schuhen, Nina; Wilcox, Laura J.; Lund, Marianne T. (2024). Strong regional trends in extreme weather over the next two decades under high- and low-emissions pathways. doi:10.1038/s41561-024-01511-4

[46] DOI Kivimäki, Mika; Batty, G. David; Pentti, Jaana; Suomi, Juuso; Nyberg, Solja T.; Merikanto, Joonas; Nordling, Kalle; Ervasti, Jenni; Suominen, Sakari B.; Partanen, Antti-Ilari; Stenholm, Sari; Käyhkö, Jukka; Vahtera, Jussi. (2023). Climate Change, Summer Temperature, and Heat-Related Mortality in Finland: Multicohort Study with Projections for a Sustainable vs. Fossil-Fueled Future to 2050. doi:10.1289/ehp12080

[47] DOI Karmouche, Soufiane; Galytska, Evgenia; Runge, Jakob; Meehl, Gerald A.; Phillips, Adam S.; Weigel, Katja; Eyring, Veronika. (2023). Regime-oriented causal model evaluation of Atlantic–Pacific teleconnections in CMIP6. doi:10.5194/esd-14-309-2023

[48] DOI PAÇAL, Aytaç; Hassler, Birgit; Weigel, Katja; Kurnaz, Mehmet Levent; Wehner, Michael F; Eyring, Veronika. (2023). Detecting Extreme Temperature Events Using Gaussian Mixture Models. doi:10.22541/essoar.168275876.64237989/v1

[49] DOI Vaittinada Ayar, Pradeebane; Battisti, David; Li, Camille; King, Martin; Vrac, Mathieu; Tjiputra, Jerry. (2024). A Regime View of ENSO Flavors Through Clustering in CMIP6 Models. doi:10.5194/egusphere-egu24-12936

[50] DOI Diamond, Rachel; Sime, Louise C.; Holmes, Caroline R.; Schroeder, David. (2024). CMIP6 Models Rarely Simulate Antarctic Winter Sea‐Ice Anomalies as Large as Observed in 2023. doi:10.1029/2024gl109265

[51] DOI DeRepentigny, Patricia; Jahn, Alexandra; Holland, Marika M.; Kay, Jennifer E.; Fasullo, John; Lamarque, Jean-François; Tilmes, Simone; Hannay, Cécile; Mills, Michael J.; Bailey, David A.; Barrett, Andrew P. (2022). Enhanced simulated early 21st century Arctic sea ice loss due to CMIP6 biomass burning emissions. doi:10.1126/sciadv.abo2405

[52] DOI Potts, Keith Alan. (2023). At Least Nine CMIP6 Climate Models fail the Historical Experiment Test because they do not accurately reproduce the known occurrence of ENSO events and must be withdrawn. doi:10.22541/essoar.169686254.43735786/v1

[1] DOI Swart, N. C., Cole, J. N. S., Kharin, V. V., Lazare, M., Scinocca, J. F., Gillett, N. P., Anstey, J., Arora, V., Christian, J. R., Hanna, S., Jiao, Y., Lee, W. G., Majaess, F., Saenko, O. A., Seiler, C., Seinen, C., Shao, A., Solheim, L., von Salzen, K., Yang, D., Winter, B., and Sigmond, M. (2019). The Canadian Earth System Model version 5 (CanESM5.0.3). doi:10.5194/gmd-2019-177

[1] DOI Lange, Stefan; Büchner, Matthias. (2022). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124.1

[2] DOI Lange, Stefan; Büchner, Matthias. (2022). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124

[3] 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

[4] DOI Lange, Stefan; Quesada-Chacón, Dánnell; Büchner, Matthias. (2023). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124.2

[5] DOI Sohail, Taimoor; Zika, Jan D.; Irving, Damien B.; Church, John A. (2022). Observed poleward freshwater transport since 1970. doi:10.1038/s41586-021-04370-w

[6] DOI Cao, Ruyin; Ling, Xiaofang; Liu, Licong; Wang, Weiyi; Li, Luchun; Shen, Miaogen. (2023). Remotely Sensed Vegetation Green-Up Onset Date on the Tibetan Plateau: Simulations and Future Predictions. doi:10.1109/jstars.2023.3310617

[7] DOI Lange, Stefan; Quesada-Chacón, Dánnell; Büchner, Matthias. (2023). Secondary ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.581124.3

[8] DOI Virgin, John G.; Fletcher, Christopher G.; Cole, Jason N. S.; von Salzen, Knut; Mitovski, Toni. (2021). Cloud Feedbacks from CanESM2 to CanESM5.0 and their Influence on Climate Sensitivity. doi:10.5194/gmd-2021-11