Future extreme climate changes linked to global warming intensity

作     者：Xiaoxin Wang Dabang Jiang Xianmei Lang 

作者机构：Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing 100101 China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science & Technology Nanjing 210044 China Joint Laboratory for Climate and Environmental Change at Chengdu University of Information Technology Chengdu 610225 China University of Chinese Academy of Sciences Beijing 100049 China 

出 版 物：《Science Bulletin》 (科学通报（英文版）)

年 卷 期：2017年第62卷第24期

页      面：1673-1680页

核心收录：

学科分类：07[理学] 0706[理学-大气科学] 

基　　金：supported by the National Key R&D Program of China (2016YFA0602401) the National Natural Science Foundation of China (41375084 and 41421004) 

主　　题：Projection Global warming Climate extremes Linkage Uncertainty 

摘      要：Based on the Coupled Model Intercomparison Project Phase 5(CMIP5) daily dataset, we investigate changes of the terrestrial extreme climates given that the global mean temperature increases persistently under the Representative Concentration Pathways 8.5(RCP8.5) scenario. Compared to preindustrial conditions, more statistically significant extreme temperatures, precipitations, and dry spells are expected in the 21 st century. Cold extremes decrease and warm extremes increase in a warmer world, and cold extremes tend to be more sensitive to global warming than the warm ones. When the global mean temperature increases, cold nights, cold days, and warm nights all display nonlinear relationships with it,such as the weakening of the link projected after 3 °C global warming, while the other indices generally exhibit differently, with linear relationships. Additionally, the relative changes in the indices related to extreme precipitation show significantly consistent linear changes with the global warming magnitude.Compared with the precipitation extremes, changes in temperature extremes are more strongly related to the global mean temperature changes. For the projection of the extreme precipitation changes, models show higher uncertainty than that in extreme temperature changes, and the uncertainty for the precipitation extremes becomes more remarkable when the global warming exceeds 5 °C.