WCRP CMIP6 ScenarioMIP NOAA-GFDL GFDL-ESM4

[1] DOI John, Jasmin G; Blanton, Chris; McHugh, Colleen; Radhakrishnan, Aparna; Rand, Kristopher; Vahlenkamp, Hans; Wilson, Chandin; Zadeh, Niki T.; Dunne, John P.; Dussin, Raphael; Horowitz, Larry W.; Krasting, John P.; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Ploshay, Jeffrey; Shevliakova, Elena; Silvers, Levi; Stock, Charles; Winton, Michael; Zeng, Yujin. (2018). NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 ScenarioMIP. doi:10.22033/ESGF/CMIP6.1414

[1] DOI Keeble, James; Chiodo, Gabriel; Et Al. (2021). Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100. doi:10.3929/ethz-b-000478110

[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 Terhaar, Jens; Torres, Olivier; Bourgeois, Timothée; Kwiatkowski, Lester. (2021). Arctic Ocean acidification over the 21st century co-driven by anthropogenic carbon increases and freshening in the CMIP6 model ensemble. doi:10.5194/egusphere-egu21-7937

[4] DOI Keeble, James; Hassler, Birgit; Banerjee, Antara; Checa-Garcia, Ramiro; Chiodo, Gabriel; Davis, Sean; Eyring, Veronika; Griffiths, Paul T.; Morgenstern, Olaf; Nowack, Peer; Zeng, Guang; Zhang, Jiankai; Bodeker, Greg; Burrows, Susannah; Cameron-Smith, Philip; Cugnet, David; Danek, Christopher; Deushi, Makoto; Horowitz, Larry W.; Kubin, Anne; Li, Lijuan; Lohmann, Gerrit; Michou, Martine; Mills, Michael J.; Nabat, Pierre; Olivié, Dirk; Park, Sungsu; Seland, Øyvind; Stoll, Jens; Wieners, Karl-Hermann; Wu, Tongwen. (2021). Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100. doi:10.5194/acp-21-5015-2021

[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 Turnock, Steven T.; Allen, Robert J.; Andrews, Martin; Bauer, Susanne E.; Deushi, Makoto; Emmons, Louisa; Good, Peter; Horowitz, Larry; John, Jasmin G.; Michou, Martine; Nabat, Pierre; Naik, Vaishali; Neubauer, David; O'Connor, Fiona M.; Olivié, Dirk; Oshima, Naga; Schulz, Michael; Sellar, Alistair; Shim, Sungbo; Takemura, Toshihiko; Tilmes, Simone; Tsigaridis, Kostas; Wu, Tongwen; Zhang, Jie. (2020). Historical and future changes in air pollutants from CMIP6 models. doi:10.5194/acp-20-14547-2020

[7] DOI Zhang, Kequan; Duan, Jiakang; Zhao, Siyi; Zhang, Jiankai; Keeble, James; Liu, Hongwen. (2021). Evaluating the Ozone Valley over the Tibetan Plateau in CMIP6 Models. doi:10.1007/s00376-021-0442-2

[8] DOI Dike, Victor Nnamdi; Lin, Zhaohui; Fei, Kece; Langendijk, Gaby S.; Nath, Debashis. (2022). Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations. doi:10.1002/joc.7641

[9] DOI Krasting, John P.; De Palma, Maurizia; Sonnewald, Maike; Dunne, John P.; John, Jasmin G. (2022). Regional sensitivity patterns of Arctic Ocean acidification revealed with machine learning. doi:10.1038/s43247-022-00419-4

[10] DOI Yang, Hui; Huang, Xinyuan; Westervelt, Daniel M.; Horowitz, Larry; Peng, Wei. (2022). Socio-demographic factors shaping the future global health burden from air pollution. doi:10.1038/s41893-022-00976-8

[11] DOI Paulot, Fabien; Stock, Charles; John, Jasmin G.; Zadeh, Niki; Horowitz, Larry W. (2020). Ocean Ammonia Outgassing: Modulation by CO2 and Anthropogenic Nitrogen Deposition. doi:10.1029/2019ms002026

[12] DOI Sung, Jang Hyun; Seo, Seung Beom; Ryu, Young. (2022). Deep Learning-Based Projection of Occurrence Frequency of Forest Fires under SSP Scenario: Exploring the Link between Drought Characteristics and Forest Fires. doi:10.3390/su14095494

[1] DOI Adcroft, A., W. Anderson, V. Balaji, C. Blanton, M. Bushuk, C.O. Dufour, J.P. Dunne, S.M.Griffies, R. Hallberg, M.J. Harrison, I.M. Held, M.F. Jansen, J.G. John, J.P. Krasting, A.R. Langenhorst, S. Legg, Z. Liang, C. McHugh, A. Radhakrishnan, B.G. Reichl, T. Rosati, B.L. Samuels, A. Shao, R. Stouffer, M. Winton, A.T. Wittenberg, B. Xiang, N. Zadeh, R. Zhang. (2019). The GFDL global ocean and sea ice model OM4.0: Model description and simulation features. Journal of Advances in Modeling Earth Systems. doi:10.1029/2019MS001726

[2] DOI Larry W. Horowitz Vaishali Naik Fabien Paulot Paul A. Ginoux John P. Dunne Jingqiu Mao Jordan Schnell Xi Chen Jian He Jasmin G. John Meiyun Lin Pu Lin Sergey Malyshev David Paynter Elena Shevliakova Ming Zhao. (2020). The GFDL Global Atmospheric Chemistry‐Climate Model AM4.1: Model Description and Simulation Characteristics. doi:10.1029/2019MS002032

[3] DOI Charles A. Stock John P. Dunne Songmiao Fan Paul Ginoux Jasmin John John P. Krasting Charlotte Laufkötter Fabien Paulot Niki Zadeh. (2020). Ocean Biogeochemistry in GFDL's Earth System Model 4.1 and Its Response to Increasing Atmospheric CO2. doi:10.1029/2019MS002043

[4] DOI J. P. Dunne L. W. Horowitz A. J. Adcroft P. Ginoux I. M. Held J. G. John J. P. Krasting S. Malyshev V. Naik F. Paulot E. Shevliakova C. A. Stock N. Zadeh V. Balaji C. Blanton K. A. Dunne C. Dupuis J. Durachta R. Dussin P. P. G. Gauthier S. M. Griffies H. Guo R. W. Hallberg M. Harrison J. He W. Hurlin C. McHugh R. Menzel P. C. D. Milly S. Nikonov D. J. Paynter J. Ploshay A. Radhakrishnan K. Rand B. G. Reichl T. Robinson D. M. Schwarzkopf L. T. Sentman S. Underwood H. Vahlenkamp M. Winton A. T. Wittenberg B. Wyman Y. Zeng M. Zhao. (2020). The GFDL Earth System Model Version 4.1 (GFDL‐ESM 4.1): Overall Coupled Model Description and Simulation Characteristics. doi:10.1029/2019MS002015

[5] DOI Horowitz, Larry Wayne; Naik, Vaishali; Paulot, Fabien; Ginoux, Paul A; Dunne, John P; Mao, Jingqiu; Schnell, Jordan; Chen, Xi; He, Jian; John, Jasmin G; Lin, Meiyun; Lin, Pu; Malyshev, Sergey; Paynter, David; Shevliakova, Elena; Zhao, Ming. (2021). The GFDL Global Atmospheric Chemistry-Climate Model AM4.1: Model Description and Simulation Characteristics. doi:10.1002/essoar.10503850.1

[6] DOI Stock, Charles A.; Dunne, John P.; Fan, Songmiao; Ginoux, Paul; John, Jasmin G.; Krasting, John P.; Laufkötter, Charlotte; Paulot, Fabian; Zadeh, Niki. (2021). Ocean Biogeochemistry in GFDL’s Earth System Model 4.1 and its Response to Increasing Atmospheric CO2. doi:10.48350/153159

[1] DOI Lange, Stefan; Büchner, Matthias. (2021). ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.842396.1

[2] DOI Lange, Stefan; Büchner, Matthias. (2021). ISIMIP3b bias-adjusted atmospheric climate input data. doi:10.48364/isimip.842396

[3] DOI Büchner, Matthias. (2021). ISIMIP3b ocean input data. doi:10.48364/isimip.575744

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

[5] DOI Büchner, Matthias. (2021). ISIMIP3b ocean input data. doi:10.48364/isimip.575744.2

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

[7] DOI Büchner, Matthias. (2021). ISIMIP3b ocean input data. doi:10.48364/isimip.575744.1