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[1] DOI Wilcox, Laura; Liu, Zhen; Samset, Bjørn; Hawkins, Ed; Lund, Marianne; Nordling, Kalle; Undorf, Sabine; Bollasina, Massimo; Ekman, Annica; Kirshnan, Srinath; Merikanto, Joonas; Turner, Andrew.
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Accelerated increases in global and Asian summer monsoon precipitation from future aerosol reductions. doi:10.5194/egusphere-egu2020-9457 [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.
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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 [4] DOI Wilcox, Laura J.; Liu, Zhen; Samset, Bjørn H.; Hawkins, Ed; Lund, Marianne T.; Nordling, Kalle; Undorf, Sabine; Bollasina, Massimo; Ekman, Annica M. L.; Krishnan, Srinath; Merikanto, Joonas; Turner, Andrew G.
(2020).
Accelerated increases in global and Asian summer monsoon precipitation from future aerosol reductions. doi:10.5194/acp-20-11955-2020 [5] DOI Wilcox, Laura J.; Liu, Zhen; Samset, Bjørn H.; Hawkins, Ed; Lund, Marianne T.; Nordling, Kalle; Undorf, Sabine; Bollasina, Massimo; Ekman, Annica M. L.; Krishnan, Srinath; Merikanto, Joonas; Turner, Andrew G.
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Accelerated increases in global and Asian summer monsoon precipitation from future aerosol reductions. doi:10.5194/acp-2019-1188 [7] DOI Diamond, Michael; Director, Hannah; Eastman, Ryan; Possner, Anna; Wood, Robert.
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Substantial Cloud Brightening from Shipping in Subtropical Low Clouds. doi:10.1002/essoar.10501145.1 [8] DOI Hardacre, Catherine; Mulcahy, Jane P.; Pope, Richard J.; Jones, Colin G.; Rumbold, Steven T.; Li, Can; Johnson, Colin; Turnock, Steven T.
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Evaluation of SO<sub>2</sub>, SO<sub>4</sub><sup>2−</sup> and an updated SO<sub>2</sub> dry deposition parameterization in the United Kingdom Earth System Model. doi:10.5194/acp-21-18465-2021 [9] DOI Zhang, Kequan; Duan, Jiakang; Zhao, Siyi; Zhang, Jiankai; Keeble, James; Liu, Hongwen.
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Evaluating the Ozone Valley over the Tibetan Plateau in CMIP6 Models. doi:10.1007/s00376-021-0442-2 [10] DOI Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal.
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Should multivariate bias corrections of climate simulations account for changes of rank correlation over time?. doi:10.1002/essoar.10510318.1 [11] DOI Cai, Wenju; Yang, Kai; Wu, Lixin; Huang, Gang; Santoso, Agus; Ng, Benjamin; Wang, Guojian; Yamagata, Toshio.
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Opposite response of strong and moderate positive Indian Ocean Dipole to global warming. doi:10.1038/s41558-020-00943-1 [12] DOI Mulcahy, Jane P.; Johnson, Colin; Jones, Colin G.; Povey, Adam C.; Scott, Catherine E.; Sellar, Alistair; Turnock, Steven T.; Woodhouse, Matthew T.; Abraham, N. Luke; Andrews, Martin B.; Bellouin, Nicolas; Browse, Jo; Carslaw, Ken S.; Dalvi, Mohit; Folberth, Gerd A.; Glover, Matthew; Grosvenor, Daniel; Hardacre, Catherine; Hill, Richard; Johnson, Ben; Jones, Andy; Kipling, Zak; Mann, Graham; Mollard, James; O'Connor, Fiona M.; Palmieri, Julien; Reddington, Carly; Rumbold, Steven T.; Richardson, Mark; Schutgens, Nick A. J.; Stier, Philip; Stringer, Marc; Tang, Yongming; Walton, Jeremy; Woodward, Stephanie; Yool, Andrew.
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Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations. doi:10.5194/gmd-2019-357 [13] DOI Su, Xiaole; Wu, Tongwen; Zhang, Jie; Zhang, Yong; Jin, Junli; Zhou, Qing; Zhang, Fang; Liu, Yiming; Zhou, Yumeng; Zhang, Lin; Turnock, Steven T.; Furtado, Kalli.
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Present-Day PM2.5 over Asia: Simulation and Uncertainty in CMIP6 ESMs. doi:10.1007/s13351-022-1202-7 [14] 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.
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Multi-century dynamics of the climate and carbon cycle under both high and net negative emissions scenarios. doi:10.5194/esd-13-885-2022 [15] DOI Lalande, Mickaël; Ménégoz, Martin; Krinner, Gerhard; Naegeli, Kathrin; Wunderle, Stefan.
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Climate change in the High Mountain Asia in CMIP6. doi:10.5194/esd-2021-43 [16] 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 CO<sub>2</sub> flux variability in the equatorial Pacific under high-warming scenario. doi:10.5194/esd-13-1097-2022 [17] DOI Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal.
(2022).
Changes in temperature–precipitation correlations over Europe: are climate models reliable?. doi:10.1007/s00382-022-06436-5 [19] DOI Yiou, Pascal; Faranda, Davide; Thao, Soulivanh; Vrac, Mathieu.
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Projected Changes in the Atmospheric Dynamics of Climate Extremes in France. doi:10.3390/atmos12111440 [20] DOI García-Franco, Jorge Luis; Chadwick, Robin; Gray, Lesley; Osprey, Scott; Adams, David K.
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Revisiting mechanisms of the Mesoamerican Midsummer drought. doi:10.21203/rs.3.rs-1351433/v1 [21] DOI Wang, Shizhu; Wang, Qiang; Wang, Muyin; Lohmann, Gerrit; Qiao, Fangli.
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Arctic Ocean Freshwater in CMIP6 Coupled Models. doi:10.1029/2022ef002878 [22] DOI Weijer, W.; Cheng, W.; Garuba, O. A.; Hu, A.; Nadiga, B. T.
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CMIP6 Models Predict Significant 21st Century Decline of the Atlantic Meridional Overturning Circulation. doi:10.1029/2019gl086075 [23] DOI Morgenstern, Olaf; Kinnison, Douglas E.; Mills, Michael; Michou, Martine; Horowitz, Larry W.; Lin, Pu; Deushi, Makoto; Yoshida, Kohei; O’Connor, Fiona M.; Tang, Yongming; Abraham, N. Luke; Keeble, James; Dennison, Fraser; Rozanov, Eugene; Egorova, Tatiana; Sukhodolov, Timofei; Zeng, Guang.
(2022).
Comparison of Arctic and Antarctic Stratospheric Climates in Chemistry Versus No‐Chemistry Climate Models. doi:10.1029/2022jd037123 [24] DOI Zeng, Guang; Morgenstern, Olaf; Williams, Jonny H. T.; O’Connor, Fiona M.; Griffiths, Paul T.; Keeble, James; Deushi, Makoto; Horowitz, Larry W.; Naik, Vaishali; Emmons, Louisa K.; Abraham, N. Luke; Archibald, Alexander T.; Bauer, Susanne E.; Hassler, Birgit; Michou, Martine; Mills, Michael J.; Murray, Lee T.; Oshima, Naga; Sentman, Lori T.; Tilmes, Simone; Tsigaridis, Kostas; Young, Paul J.
(2022).
Attribution of Stratospheric and Tropospheric Ozone Changes Between 1850 and 2014 in CMIP6 Models. doi:10.1029/2022jd036452 [25] DOI Diamond, Michael S.; Gristey, Jake J.; Kay, Jennifer E.; Feingold, Graham.
(2022).
Anthropogenic aerosol and cryosphere changes drive Earth’s strong but transient clear-sky hemispheric albedo asymmetry. doi:10.1038/s43247-022-00546-y [26] 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 [27] 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 [28] 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 [29] DOI Correa, Wesley de Souza Campos; Soares, Wagner Rodrigues; Aylas, Georgynio Yossimar Rosales; Reis Junior, Neyval Costa; Marengo, José Antonio; Chou, Sin Chan; Nobre, Carlos.
(2023).
Avaliação das simulações de temperatura e precipitação de um subconjunto de modelos do CMIP6 para o Brasil. doi:10.14295/derb.v43.774 [35] DOI Morée, Anne L.; Clarke, Tayler M.; Cheung, William W. L.; Frölicher, Thomas L.
(2022).
Impact of deoxygenation and warming on global marine species in the 21st century. doi:10.5194/egusphere-2022-1364 [37] DOI Bjarke, Nels; Barsugli, Joseph; Livneh, Ben.
(2023).
Ensemble of CMIP6 derived reference and potential evapotranspiration with radiative and advective components. doi:10.1038/s41597-023-02290-0 [38] 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 [39] DOI Keeble, James; Yiu, Yu Yeung Scott; Archibald, Alexander T.; O’Connor, Fiona; Sellar, Alistair; Walton, Jeremy; Pyle, John A.
(2021).
Using Machine Learning to Make Computationally Inexpensive Projections of 21st Century Stratospheric Column Ozone Changes in the Tropics. doi:10.3389/feart.2020.592667 [40] 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 [42] 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 [43] DOI Vrac, M.; Thao, S.; Yiou, P.
(2022).
Should Multivariate Bias Corrections of Climate Simulations Account for Changes of Rank Correlation Over Time?. doi:10.1029/2022jd036562 [44] DOI Vaittinada Ayar, Pradeebane; Tjiputra, Jerry; Bopp, Laurent; Christian, Jim R.; Ilyina, Tatiana; Krasting, John P.; Séférian, Roland; Tsujino, Hiroyuki; Watanabe, Michio; Yool, Andrew.
(2022).
Contrasting projection of the ENSO-driven CO&lt;sub&gt;2&lt;/sub&gt; flux variability in the Equatorial Pacific under high warming scenario. doi:10.5194/esd-2022-12 [45] 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 [46] 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 [49] DOI García-Franco, Jorge L.; Gray, Lesley J.; Osprey, Scott.
(2020).
The American Monsoon System in HadGEM3.0 and UKESM1 CMIP6 simulations. doi:10.5194/wcd-2020-8 [50] 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 [51] 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 [52] DOI MAKINDE, AKINTUNDE Israel; Abiodun, Babatunde J.; James, Rachel; Washington, Richard; Dyer, Ellen; Webb, Tom.
(2022).
How Well Do CMIP6 Models Simulate the Influence of the West African Westerly Jet on Sahel Precipitation?. doi:10.21203/rs.3.rs-1274137/v1 [53] DOI Hardacre, Catherine; Mulcahy, Jane P.; Pope, Richard; Jones, Colin G.; Rumbold, Steven R.; Li, Can; Johnson, C.; Turnock, Steven T.
(2021).
Evaluation of SO2, SO42− and an updated SO2 dry deposition parameterization in the United Kingdom Earth System Model. doi:10.5194/acp-21-18465-2021 [54] DOI Dennison, Fraser; Woodhouse, Matthew T.
(2023).
ACCESS-CM2-Chem: evaluation of southern hemisphere ozone and its effect on the Southern Annular Mode. doi:10.1071/es22015 [58] DOI Hardacre, Catherine; Mulcahy, Jane P.; Pope, Richard; Jones, Colin G.; Rumbold, Steven R.; Li, Can; Turnock, Steven T.
(2021).
Evaluation of SO2, SO42− and an updated SO2 dry deposition
parameterization in UKESM1. doi:10.5194/acp-2021-238 [59] DOI Narenpitak, Pornampai; Kongkulsiri, Siriwat; Tomkratoke, Saifhon; Sirisup, Sirod.
(2024).
Regional impacts of solar radiation modification on surface temperature and precipitation in Mainland Southeast Asia and the adjacent oceans. doi:10.1038/s41598-024-73149-6 [62] DOI Morée, Anne L.; Clarke, Tayler M.; Cheung, William W. L.; Frölicher, Thomas L.
(2023).
Impact of deoxygenation and warming on global marine species in the 21st century. doi:10.5194/bg-20-2425-2023 [63] DOI Vrac, Mathieu; Allard, Denis; Mariéthoz, Grégoire; Thao, Soulivanh; Schmutz, Lucas.
(2024).
Distribution-based pooling for combination and multi-model bias correction of climate simulations. doi:10.5194/esd-15-735-2024 [65] DOI He, Yanfeng; Sudo, Kengo.
(2023).
Historical (1960–2014) lightning and LNOx trends and their controlling factors in a chemistry–climate model. doi:10.5194/acp-23-13061-2023 [66] DOI Zhang, Yahai; Ye, Aizhong.
(2021).
Improving Global Gross Primary Productivity Estimation by Fusing Multi-Source Data Products. doi:10.2139/ssrn.3978981 [67] DOI Denissen, Jasper M. C.; Teuling, Adriaan J.; Koirala, Sujan; Reichstein, Markus; Balsamo, Gianpaolo; Vogel, Martha M.; Yu, Xin; Orth, René.
(2024).
Intensified future heat extremes linked with increasing ecosystem water limitation. doi:10.5194/esd-15-717-2024 [68] 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 [69] DOI Robson, Jon; Sutton, Rowan; Menary, Matthew B.; Lai, Michael W. K.
(2023).
Overview of models used in the study and additional plots from Contrasting internally and externally generated Atlantic multidecadal variability and the role for AMOC in CMIP6 historical simulations. doi:10.6084/m9.figshare.24100547.v1 [71] 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 [72] DOI Mulcahy, Jane P.; Johnson, Colin; Jones, Colin G.; Povey, Adam C.; Scott, Catherine E.; Sellar, Alistair; Turnock, Steven T.; Woodhouse, Matthew T.; Abraham, Nathan Luke; Andrews, Martin B.; Bellouin, Nicolas; Browse, Jo; Carslaw, Ken S.; Dalvi, Mohit; Folberth, Gerd A.; Glover, Matthew; Grosvenor, Daniel P.; Hardacre, Catherine; Hill, Richard; Johnson, Ben; Jones, Andy; Kipling, Zak; Mann, Graham; Mollard, James; O'Connor, Fiona M.; Palmiéri, Julien; Reddington, Carly; Rumbold, Steven T.; Richardson, Mark; Schutgens, Nick A. J.; Stier, Philip; Stringer, Marc; Tang, Yongming; Walton, Jeremy; Woodward, Stephanie; Yool, Andrew.
(2020).
Description and evaluation of aerosol in UKESM1 and HadGEM3-GC3.1 CMIP6 historical simulations. doi:10.5194/gmd-13-6383-2020 [73] DOI Bryden, Harry; Drijfhout, Sybren; Mecking, Jennifer; Hazeleger, Wilco.
(2023).
Comparing observed and modelled components of the Atlantic Meridional Overturning Circulation at 26°N. doi:10.5194/egusphere-2023-2688 [74] DOI Pysarenko, L.A.; Krakovska, S.V.
(2023).
The impact of forest cover decrease on the wind regime changes for the territory of Ukraine based on data of the global numerical experiment LUMIP. doi:10.24028/gj.v45i5.289106 Is related to
[1] 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 [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 Woodward, Stephanie; Sellar, Alistair A.; Tang, Yongming; Stringer, Marc; Yool, Andrew; Robertson, Eddy; Wiltshire, Andy.
(2022).
The simulation of mineral dust in the United Kingdom Earth System Model UKESM1. doi:10.5194/acp-22-14503-2022 [4] DOI Hao, Shabin; Li, Jiandong; Mao, Jiangyu.
(2022).
Interannual Relationship between Summer North Atlantic Oscillation and Subsequent November Precipitation Anomalies over Yunnan in Southwest China. doi:10.1007/s13351-022-2046-x [5] DOI Diamond, Michael S.; Director, Hannah M.; Eastman, Ryan; Possner, Anna; Wood, Robert.
(2020).
Substantial Cloud Brightening From Shipping in Subtropical Low Clouds. doi:10.1029/2019av000111 [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 Zhou, Yumeng; Wu, Tongwen; Zhou, Yang; Zhang, Jie; Zhang, Fang; Su, Xiaole; Jie, Weihua; Zhao, He; Zhang, Yanwu; Wang, Jun.
(2023).
Can global warming bring more dust?. doi:10.1007/s00382-023-06706-w [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 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 [11] 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 [12] DOI Fiore, Arlene; Hancock, Sarah; Lamarque, Jean-Francois; Correa, Gustavo; Chang, Kai-Lan; Ru, Muye; Cooper, Owen; Gaudel, Audrey; Polvani, Lorenzo; Sauvage, Bastien; Ziemke, Jerald.
(2022).
Understanding recent tropospheric ozone trends in the context of large internal variability: A new perspective from chemistry-climate model ensembles. doi:10.31223/x5035b [13] 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 [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 Woodward, Stephanie; Sellar, Alistair; Tang, Yongming; Stringer, Marc; Yool, Andrew; Robertson, Eddy; Wiltshire, Andy.
(2022).
The simulation of mineral dust in the United Kingdom Earth System Model UKESM1. doi:10.5194/acp-2022-228 Is cited by
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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.
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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.
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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.
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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.
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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).
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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 Szopa, S.; Naik, V.; Adhikary, B.; Artaxo, P.; Berntsen, T.; Collins, W.D.; Fuzzi, S.; Gallardo, L.; Kiendler-Scharr, A.; Klimont, Z.; Liao, H.; Unger, N.; Zanis, P.
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Short-Lived Climate Forcers. 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:10.1017/9781009157896.008 [10] 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.
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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 [11] DOI Byun, Ui‐Yong; Chang, Eun‐Chul; Kim, Joowan; Ahn, Joong‐Bae; Cha, Dong‐Hyun; Min, Seung‐Ki; Byun, Young‐Hwa.
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Investigation of Added Value in Regional Climate Models for East Asian Storm Track Analysis. doi:10.1029/2023jd039167