WCRP CMIP6 FAFMIP 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 FAFMIP. doi:10.22033/ESGF/CMIP6.1308

[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 Faye, Aissatou; Akinsanola, Akintomide Afolayan. (2021). Evaluation of extreme precipitation indices over West Africa in CMIP6 models. doi:10.1007/s00382-021-05942-2

[5] 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

[6] 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

[7] 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

[8] 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

[9] 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

[10] 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

[11] 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

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

[13] 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

[14] 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

[15] 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

[16] 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

[17] 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

[18] 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

[19] 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

[20] 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

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

[22] 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

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

[24] 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

[25] 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

[26] 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

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

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

[29] 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

[30] 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

[31] 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

[32] 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

[33] 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

[34] 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

[1] DOI Swart, Neil C.; Cole, Jason N. S.; Kharin, Viatcheslav V.; Lazare, Mike; Scinocca, John F.; Gillett, Nathan P.; Anstey, James; Arora, Vivek; Christian, James R.; Hanna, Sarah; 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. (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 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

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

[4] 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

[5] 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