Fidelity of the APHRODITE Dataset in Representing Extreme Precipitation over Central Asia

作     者：Sheng LAI Zuowei XIE Cholaw BUEH Yuanfa GONG Sheng LAI;Zuowei XIE;Cholaw BUEH;Yuanfa GONG

作者机构：College of Atmospheric ScienceChengdu University of Information TechnologyChengdu 610225China International Center for Climate and Environment SciencesInstitute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2020年第37卷第12期

页      面：1405-1416页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 0816[工学-测绘科学与技术] 0825[工学-航空宇航科学与技术] 

基　　金：the two anonymous reviewers for their valuable comments and suggestions.This research was funded by the National Key Research and Development Program of China(Grant No.2018YFC1507101) the National Natural Science Foundation of China(Grant Nos.41861144014,41875078 and 41630424) the National Key Research and Development Program of China(Grant No.2016YFA0601501) We acknowledge Hirosaki University for providing the APHRODITE precipitation data(http://aphrodite.st.hirosaki-u.ac.jp/download/) We thank the China Meteorological Data Service Center for providing the Chinese Surface Daily Climate Dataset(V3.0)(https://data.cma.cn/en/?r=data/detail&data-Code=SURF_CLI_CHN_MUL_DAY_CES_V3.0) the National Oceanic and Atmospheric Administration,National Centers for Environmental Information,for providing the GHCN-D dataset(V3.25)(Menne et al.,2012).We convey our gratitude to the contributors of the SciPy ecosystem(Virtanen et al.,2020),which was used for data analysis and visualization 

主　　题：APHRODITE extreme precipitation Central Asia Xinjiang fidelity 

摘      要：Using rain-gauge-observation daily precipitation data from the Global Historical Climatology Network(V3.25)and the Chinese Surface Daily Climate Dataset(V3.0),this study investigates the fidelity of the AHPRODITE dataset in representing extreme precipitation,in terms of the extreme precipitation threshold value,occurrence number,probability of detection,and extremal dependence index during the cool(October to April)and warm(May to September)seasons in Central Asia during 1961–*** distribution of extreme precipitation is characterized by large extreme precipitation threshold values and high occurrence numbers over the mountainous *** APHRODITE dataset is highly correlated with the gauge-observation precipitation data and can reproduce the spatial distributions of the extreme precipitation threshold value and total occurrence ***,APHRODITE generally underestimates the extreme precipitation threshold values,while it overestimates the total numbers of extreme precipitation events,particularly over the mountainous *** biases can be attributed to the overestimation of light rainfall and the underestimation of heavy rainfall induced by the rainfall distribution–based *** deficits are more evident for the warm season than the cool season,and thus the biases are more pronounced in the warm season than in the cool *** probability of detection and extremal dependence index reveal that APHRODITE has a good capability of detecting extreme precipitation,particularly in the cool season.