Change of probability density distributions of summer temperatures in different climate zones
作者机构：Guangdong Key Laboratory for Urbanization and Geo-simulationSchool of Geography and PlanningSun Yat-sen UniversityGuangzhou 510006China Institute of EnvironmentEnergy and SustainabilityThe Chinese University of Hong KongHong Kong 999077China
出 版 物：《Frontiers of Earth Science》 (地球科学前沿（英文版）)
年 卷 期：2024年第18卷第1期
页 面：1-16页
核心收录：
学科分类：07[理学] 070601[理学-气象学] 0708[理学-地球物理学] 0706[理学-大气科学]
基 金：funded by the National Natural Science Foundation of China(Grant Nos.41901327 and 42075070) the Guangdong Basic and Applied Basic Research Foundation(No.2019A1515010823)
主 题：Climate change probability density function extreme events
摘 要：Extreme events have become increasingly frequent worldwide which are reflected in diverse changes in the shape of the temperature probability density ***,few studies have paid attention to the heterogeneity of temperature at the scale of climate ***,we use the ERA5-land data set to explore interdecadal summer temperature changes and the distribution across different climate zones from 1981 to *** the minimum(Tmin)and maximum(Tmax)temperature of 1982–1991 and 2010–2019,the results imply that Tmin and Tmax in summer maintained a notable upward trend over the past 40 years,especially *** effects of a simple shift toward a warmer climate contributed most to all climate zones,while the standard deviation,skewness and kurtosis had minor effects on extreme temperature except for *** analysis shows that the probability of extreme events in all climate zones is increasing in frequency and intensity,especially Tmin and Tmax in temperate climate *** diverse reasons for climate change can assist us with taking different measures to address extreme climate in distinct climate zones.
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