WCRP CMIP6 CMIP IPSL IPSL-CM6A-LR historical

[1] DOI Boucher, Olivier; Denvil, Sébastien; Levavasseur, Guillaume; Cozic, Anne; Caubel, Arnaud; Foujols, Marie-Alice; Meurdesoif, Yann; Cadule, Patricia; Devilliers, Marion; Ghattas, Josefine; Lebas, Nicolas; Lurton, Thibaut; Mellul, Lidia; Musat, Ionela; Mignot, Juliette; Cheruy, Frédérique. (2018). IPSL IPSL-CM6A-LR model output prepared for CMIP6 CMIP historical. doi:10.22033/ESGF/CMIP6.5195

[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 Smith, Abigail; Jahn, Alexandra; Wang, Muyin. (2020). Seasonal transition dates can reveal biases in Arctic sea ice simulations. doi:10.5194/tc-2020-81

[4] DOI Smith, Abigail; Jahn, Alexandra; Wang, Muyin. (2020). Seasonal transition dates can reveal biases in Arctic sea ice simulations. doi:10.5194/tc-14-2977-2020

[5] 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

[6] 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

[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 Annor, Thompson; Lamptey, Benjamin; Washington, Richard. (2022). Assessment of the unified model in reproducing West African precipitation and temperature climatology. doi:10.1007/s00704-022-03973-1

[9] DOI Kvale, Karin; Keller, David P.; Koeve, Wolfgang; Meissner, Katrin J.; Somes, Chris; Yao, Wanxuan; Oschlies, Andreas. (2020). Explicit silicate cycling in the Kiel Marine Biogeochemistry Model, version 3 (KMBM3) embedded in the UVic ESCM version 2.9. doi:10.5194/gmd-2020-235

[10] DOI Tittensor, Derek P.; Novaglio, Camilla; Harrison, Cheryl S.; Heneghan, Ryan F.; Barrier, Nicolas; Bianchi, Daniele; Bopp, Laurent; Bryndum-Buchholz, Andrea; Britten, Gregory L.; Büchner, Matthias; Cheung, William W. L.; Christensen, Villy; Coll, Marta; Dunne, John P.; Eddy, Tyler D.; Everett, Jason D.; Fernandes-Salvador, Jose A.; Fulton, Elizabeth A.; Galbraith, Eric D.; Gascuel, Didier; Guiet, Jerome; John, Jasmin G.; Link, Jason S.; Lotze, Heike K.; Maury, Olivier; Ortega-Cisneros, Kelly; Palacios-Abrantes, Juliano; Petrik, Colleen M.; du Pontavice, Hubert; Rault, Jonathan; Richardson, Anthony J.; Shannon, Lynne; Shin, Yunne-Jai; Steenbeek, Jeroen; Stock, Charles A.; Blanchard, Julia L. (2021). Next-generation ensemble projections reveal higher climate risks for marine ecosystems. doi:10.1038/s41558-021-01173-9

[11] 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

[12] 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

[13] DOI Watanabe, Masahiro; Dufresne, Jean-Louis; Kosaka, Yu; Mauritsen, Thorsten; Tatebe, Hiroaki. (2020). Enhanced warming constrained by past trends in equatorial Pacific sea surface temperature gradient. doi:10.1038/s41558-020-00933-3

[14] DOI Lalande, Mickaël; Ménégoz, Martin; Krinner, Gerhard; Naegeli, Kathrin; Wunderle, Stefan. (2021). Climate change in the High Mountain Asia in CMIP6. doi:10.5194/esd-2021-43

[15] DOI Vaittinada Ayar, Pradeebane; Bopp, Laurent; Christian, Jim R.; Ilyina, Tatiana; Krasting, John P.; Séférian, Roland; Tsujino, Hiroyuki; Watanabe, Michio; Yool, Andrew; Tjiputra, Jerry. (2022). Contrasting projections of the ENSO-driven CO₂ flux variability in the equatorial Pacific under high-warming scenario. doi:10.5194/esd-13-1097-2022

[16] DOI Wang, Shizhu; Wang, Qiang; Wang, Muyin; Lohmann, Gerrit; Qiao, Fangli. (2022). Arctic Ocean Freshwater in CMIP6 Coupled Models. doi:10.1029/2022ef002878

[17] DOI Dahlke, Flemming T.; Wohlrab, Sylke; Butzin, Martin; Pörtner, Hans-Otto. (2020). Thermal bottlenecks in the life cycle define climate vulnerability of fish. doi:10.1126/science.aaz3658

[18] DOI Weijer, W.; Cheng, W.; Garuba, O. A.; Hu, A.; Nadiga, B. T. (2020). CMIP6 Models Predict Significant 21st Century Decline of the Atlantic Meridional Overturning Circulation. doi:10.1029/2019gl086075

[19] DOI Akinsanola, Akintomide Afolayan; Ogunjobi, Kehinde O; Abolude, Akintayo T; Salack, Seyni. (2021). Projected changes in wind speed and wind energy potential over West Africa in CMIP6 models. doi:10.1088/1748-9326/abed7a

[20] DOI Jönsson, A., Bender, F. A. (2022). Persistence and Variability of Earth`s Interhemispheric Albedo Symmetry in 19 Years of CERES EBAF Observations. doi:10.1175/jcli-d-20-0970.1

[21] 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

[22] 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

[23] 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

[24] DOI Naskar, Pravat Rabi; Mohapatra, Mrutyunjay; Singh, Gyan Prakash. (2024). CMIP6 projections of surface latent heat flux over the North Indian Ocean. doi:10.1007/s00704-024-05114-2

[25] DOI Ngoma, Hamida; Wen, Wang; Ayugi, Brian; Babaousmail, Hassen; Karim, Riwzan; Ongoma, Victor. (2021). Evaluation of the Global Climate Models in CMIP6 over Uganda. doi:10.20944/preprints202012.0782.v1

[26] DOI Prathom, Chotirose; Champrasert, Paskorn. (2023). General Circulation Model Downscaling Using Interpolation—Machine Learning Model Combination—Case Study: Thailand. doi:10.3390/su15129668

[27] DOI Annor, Thompson; Ackon, Apphia Tetteh; James, Rachel; Dyer, Ellen; Webb, Thomas; Pokam, Wilfried Mba; Kuete Gouandjo, Giresse; Washington, Richard; Abiodun, Babatunde J. (2023). Heat band, rain band and heat low migration: process-based evaluation of some CMIP6 GCMs over West Africa. doi:10.1007/s00382-023-06930-4

[28] DOI Kouki, Kerttu; Räisänen, Petri; Luojus, Kari; Luomaranta, Anna; Riihelä, Aku. (2022). Evaluation of Northern Hemisphere snow water equivalent in CMIP6 models during 1982–2014. doi:10.5194/tc-16-1007-2022

[29] DOI Müller, Jurek; Joos, Fortunat. (2021). Global peatlands under future climate – seamless model projections from the Last Glacial Maximum. doi:10.5194/bg-2021-80

[30] DOI Yamamoto, Ana Letícia Campos; Corrêa, Marcelo de Paula; Torres, Roger Rodrigues; Martins, Fabrina Bolzan; Godin-Beekmann, Sophie. (2024). Projected changes in ultraviolet index and UV doses over the twenty-first century: impacts of ozone and aerosols from CMIP6. doi:10.1007/s43630-024-00594-7

[31] DOI Kleinen, Thomas. (2021). Review of bg-2021-80. doi:10.5194/bg-2021-80-rc2

[32] 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

[33] DOI Ferreira, Glauber Willian de Souza; Reboita, Michelle Simões; Ribeiro, João Gabriel Martins; de Souza, Christie André. (2023). Assessment of Precipitation and Hydrological Droughts in South America through Statistically Downscaled CMIP6 Projections. doi:10.3390/cli11080166

[34] DOI Ngoma, Hamida; Wen, Wang; Ayugi, Brian; Babaousmail, Hassen; Karim, Rizwan; Ongoma, Victor. (2021). Evaluation of precipitation simulations in CMIP6 models over Uganda. doi:10.1002/joc.7098

[35] DOI Mohan, Soumya; Ruchith, R. D. (2023). On the simulations of latent heat flux over the Indian Ocean in CMIP6 models. doi:10.1007/s00382-023-06871-y

[36] DOI Lalande, Mickaël; Ménégoz, Martin; Krinner, Gerhard; Naegeli, Kathrin; Wunderle, Stefan. (2021). Climate change in the High Mountain Asia in CMIP6. doi:10.5194/esd-12-1061-2021

[37] DOI Müller, Jurek; Joos, Fortunat. (2021). Committed and projected future changes in global peatlands – continued transient model simulations since the Last Glacial Maximum. doi:10.5194/bg-18-3657-2021

[38] 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

[39] DOI Müller, Jurek. (2020). Response to reviewer comments. doi:10.5194/bg-2020-110-ac1

[40] DOI Cutillas-Lozano, Luis Gabino; López, Mario Santa Cruz; Velasco, Antonio Pérez; Andrés-Doménech, Ignacio; Olcina-Cantos, Jorge. (2023). Local-scale regionalisation of climate change effects on rainfall pattern: application to Alicante City (Spain). doi:10.1007/s00704-023-04565-3

[41] DOI Rettie, Fasil M.; Gayler, Sebastian; Weber, Tobias K. D.; Tesfaye, Kindie; Streck, Thilo. (2023). High-resolution CMIP6 climate projections for Ethiopia using the gridded statistical downscaling method. doi:10.1038/s41597-023-02337-2

[42] DOI Yamamoto, Ana Letícia Campos; Corrêa, Marcelo de Paula; Torres, Roger Rodrigues; Martins, Fabrina Bolzan; Godin-Beekmann, Sophie. (2024). Total ozone content, total cloud cover, and aerosol optical depth in CMIP6: simulations performance and projected changes. doi:10.1007/s00704-023-04821-6

[43] DOI AYAR, Pradeebane VAITTINADA; Battisti, David S.; Li, Camille; King, Martin Peter; Vrac, Mathieu; Tjiputra, Jerry Fong. (2023). A regime view of ENSO flavours through clustering in CMIP6 models. doi:10.22541/essoar.167458065.54814300/v2

[44] DOI Aylmer, Jake R.; Ferreira, David; Feltham, Daniel L. (2024). Impact of ocean heat transport on sea ice captured by a simple energy balance model. doi:10.1038/s43247-024-01565-7

[45] 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

[46] DOI Sellevold, Raymond; Vizcaino, Miren. (2021). First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt. doi:10.1029/2021gl092449

[47] DOI Hinrichs, Claudia; Hauck, Judith. (2022). Report on skill of CMIP6 models to simulate alkalinity and improved parameterizations for large scale alkalinity distribution. doi:10.3289/oceannets_d4.4

[48] DOI Andrade-Velázquez, Mercedes; Montero-Martínez, Martín José. (2023). Historical and Projected Trends of the Mean Surface Temperature in South-Southeast Mexico Using ERA5 and CMIP6. doi:10.3390/cli11050111

[49] DOI Nogueira, Miguel. (2021). Multivariate Process-Based Evaluation of CMIP6 Historical Simulations Over the Tropical Oceans. doi:10.21203/rs.3.rs-458817/v1

[50] 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

[51] DOI Li, Juan; Zhao, Yuexuan; Wang, Menglu; Tan, Wei; Yin, Jiyuan. (2024). Projected Changes of Wind Energy Input to Surface Waves in the North Indian Ocean Based on CMIP6. doi:10.3390/atmos15010139

[52] DOI Kouki, Kerttu; Räisänen, Petri; Luojus, Kari; Luomaranta, Anna; Riihelä, Aku. (2022). Evaluation of Northern Hemisphere snow water equivalent in CMIP6 models during 1982-2014. doi:10.5194/ems2022-447

[53] DOI de Souza Ferreira, Glauber Willian; Reboita, M. S.; Ribeiro, J. G. M.; Carvalho, V. S. B.; Santiago, M. E. V.; Silva, P. L. L. S.; Baldoni, T. C.; de Souza, C. A. (2023). Assessment of the wind power density over South America simulated by CMIP6 models in the present and future climate. doi:10.1007/s00382-023-06993-3

[54] DOI Müller, Jurek. (2021). Response to reviewer comments. doi:10.5194/bg-2021-80-ac2

[55] DOI Kvale, Karin; Keller, David P.; Koeve, Wolfgang; Meissner, Katrin J.; Somes, Christopher J.; Yao, Wanxuan; Oschlies, Andreas. (2021). Explicit silicate cycling in the Kiel Marine Biogeochemistry Model version 3 (KMBM3) embedded in the UVic ESCM version 2.9. doi:10.5194/gmd-14-7255-2021

[56] 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

[57] DOI Sung, Jang Hyun; Kang, Dong Ho; Seo, Young-Ho; Kim, Byung Sik. (2023). Analysis of Extreme Rainfall Characteristics in 2022 and Projection of Extreme Rainfall Based on Climate Change Scenarios. doi:10.3390/w15223986

[58] DOI Ferreira, Glauber Willian de Souza; Reboita, Michelle Simões; Ribeiro, João Gabriel Martins; De Souza, Christie André. (2023). Assessment of Precipitation and Hydrological Droughts in South America through Statistically Downscaled CMIP6 Pro-jections. doi:10.20944/preprints202307.0373.v1

[59] 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

[60] 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

[61] DOI Hinrichs, Claudia; Köhler, Peter; Völker, Christoph; Hauck, Judith. (2023). Alkalinity biases in CMIP6 Earth system models and implications for simulated CO2 drawdown via artificial alkalinity enhancement. doi:10.5194/bg-20-3717-2023

[62] 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

[63] DOI Naskar, Pravat Rabi; Singh, Gyan Prakash; Pattanaik, Dushmanta Ranjan. (2024). CMIP6 projected sea surface temperature over the North Indian Ocean. doi:10.1007/s12040-024-02443-8

[64] DOI Reboita, Michelle Simões; Ferreira, Glauber Willian de Souza; Ribeiro, João Gabriel Martins; da Rocha, Rosmeri Porfírio; Rao, Vadlamudi Brahmananda. (2023). South American Monsoon Lifecycle Projected by Statistical Downscaling with CMIP6-GCMs. doi:10.3390/atmos14091380

[1] DOI Koven, Charles D.; Arora, Vivek K.; Cadule, Patricia; Fisher, Rosie A.; Jones, Chris D.; Lawrence, David M.; Lewis, Jared; Lindsay, Keith; Mathesius, Sabine; Meinshausen, Malte; Mills, Michael; Nicholls, Zebedee; Sanderson, Benjamin M.; Séférian, Roland; Swart, Neil C.; Wieder, William R.; Zickfeld, Kirsten. (2022). Multi-century dynamics of the climate and carbon cycle under both high and net negative emissions scenarios. doi:10.5194/esd-13-885-2022

[2] DOI Akinsanola, Akintomide Afolayan; Ongoma, Victor; Kooperman, Gabriel J. (2021). Evaluation of CMIP6 models in simulating the statistics of extreme precipitation over Eastern Africa. doi:10.1016/j.atmosres.2021.105509

[3] 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; Cugnet, David; Danabasoglu, Gokhan; Deushi, Makoto; Horowitz, Larry W.; Li, Lijuan; Michou, Martine; Mills, Michael J.; Nabat, Pierre; Park, Sungsu; Wu, Tongwen. (2020). Evaluating stratospheric ozone and water vapor changes in CMIP66 models from 1850–2100. doi:10.5194/acp-2019-1202

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

[5] 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

[6] DOI Rohr, Tyler; Richardson, Anthony J.; Lenton, Andrew; Chamberlain, Matthew A.; Shadwick, Elizabeth H. (2023). Zooplankton grazing is the largest source of uncertainty for marine carbon cycling in CMIP6 models. doi:10.1038/s43247-023-00871-w

[7] DOI Olson, Roman; Kim, Soong-Ki; Fan, Yanan; An, Soon-Il. (2022). Probabilistic projections of El Niño Southern Oscillation properties accounting for model dependence and skill. doi:10.1038/s41598-022-26513-3

[8] DOI Rajulapati, Chandra Rupa; Papalexiou, Simon Michael. (2023). Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method. doi:10.1029/2023ea002823

[9] DOI Krause, Andreas; Papastefanou, Phillip; Gregor, Konstantin; Layritz, Lucia S.; Zang, Christian S.; Buras, Allan; Li, Xing; Xiao, Jingfeng; Rammig, Anja. (2022). Quantifying the impacts of land cover change on gross primary productivity globally. doi:10.1038/s41598-022-23120-0

[10] DOI Ferreira, Glauber; Reboita, Michelle; Ribeiro, João Gabriel; Carvalho, Vanessa; Santiago, Maria; Silva, Pedro; Baldoni, Thales; Souza, Christie. (2023). Assessment of the wind power density over South America simulated by CMIP6 models in the present and future climate. doi:10.21203/rs.3.rs-2983877/v1

[11] DOI Smith, Callum; Baker, Jessica; Robertson, Eddy; Chadwick, Robin; Kelley, Douglas; Argles, Arthur; Coelho, Caio; Castilho, Dayana; Kubota, Paulo; Talamoni, Isabella; Spracklen, Dominick. (2023). Observed and simulated local climate responses to tropical deforestation. doi:10.5194/egusphere-egu23-5938

[12] DOI Bulgin, Claire E; Mecking, Jennifer V; Harvey, Ben J; Jevrejeva, Svetlana; McCarroll, Niall F; Merchant, Christopher J; Sinha, Bablu. (2023). Dynamic sea-level changes and potential implications for storm surges in the UK: a storylines perspective. doi:10.1088/1748-9326/acc6df

[13] DOI Yalcin, Emrah. (2023). Quantifying climate change impacts on hydropower production under CMIP6 multi-model ensemble projections using SWAT model. doi:10.1080/02626667.2023.2245815

[14] 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

[15] DOI Williamson, Tanja N.; Barton, Christopher D. (2020). Hydrologic modeling to examine the influence of the forestry reclamation approach and climate change on mineland hydrology. doi:10.1016/j.scitotenv.2020.140605

[1] 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

[2] DOI 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. (2023). Future 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.)]. doi:10.1017/9781009157896.006

[3] DOI 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. (2023). Human 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.)]. doi:10.1017/9781009157896.005

[4] DOI 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. (2023). Linking 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.)]. doi:10.1017/9781009157896.012

[5] DOI Seneviratne, S.I.; Zhang, X.; Adnan, M.; Badi, W.; Dereczynski, C.; Di Luca, A.; Ghosh, S.; Iskandar, I.; Kossin, J.; Lewis, S.; Otto, F.; Pinto, I.; Satoh, M.; Vicente-Serrano, S.M.; Wehner, M.; Zhou, B. (2023). Weather and Climate Extreme Events in a Changing Climate. 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:10.1017/9781009157896.013

[6] DOI Gutiérrez, J.M.; Jones, R.G.; Narisma, G.T.; Alves, L.M.; Amjad, M.; Gorodetskaya, I.V.; Grose, M.; Klutse, N.A.B.; Krakovska, S.; Li, J.; Martínez-Castro, D.; Mearns, L.O.; Mernild, S.H.; Ngo-Duc, T.; van den Hurk, B.; Yoon, J.-H. (2023). Atlas. 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:10.1017/9781009157896.021

[7] DOI Intergovernmental Panel on Climate Change (IPCC). (2023). 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

[8] DOI Canadell, J.G.; Monteiro, P.M.S; Costa, M.H.; Cotrim da Cunha, L.; Cox, P.M.; Eliseev, A.V.; Henson, S.; Ishii, M.; Jaccard, S.; Koven, C.; Lohila, A.; Patra, P.K.; Piao, S.; Rogelj, J.; Syampungani, S.; Zaehle, S.; Zickfeld, K. (2023). Global Carbon and other Biogeochemical Cycles and Feedbacks. 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:10.1017/9781009157896.007

[9] DOI 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. (2023). Water 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.)]. doi:10.1017/9781009157896.010