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Assessing the Applicability of Multi-Source Precipitation Products over the Chinese Mainland and Its Seven Regions

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摘要 Satellite-based and reanalysis precipitation products provide valuable information for various applications.However,their performance varies widely across regions due to different data sources and production processes.This paper evaluated the daily performance of four precipitation products(MSWEP,ERA5,PERSIANN,and TRMM)for seven regions of the Chinese mainland,using observations from 2462 ground stations across the country as a benchmark.We used four statistical and four classification indicators to describe their spatial and temporal accuracy,and capability to detect precipitation events while analyzing their applicability.The results show that according to the precipitation char-acteristics and accuracy of different types of precipitation products over the Chinese mainland,MSWEP was the most suitable product over the Chinese mainland,having the lowest root mean square error and mean absolute error,along with the highest coefficient of determination.It was followed by TRMM and ERA5,whereas PERSIANN lagged behind in terms of performance.In terms of different regions,MSWEP still performed well,especially in North China and East China.The accuracy of the four precipitation products was relatively low in the summer months,and they all overestimated in the northwest region.In other months,MSWEP and TRMM were better than PERSIANN and ERA5.The four precipitation products had good detection performance over the Chinese mainland,with probability of detection above 0.5.However,with the increase of precipitation threshold,the detection capability of the four products decreased,and MSWEP and ERA5 had good detection capability for moderate rain.TRMM’s detection capability for heavy rain and rainstorms was better than that of the other three products,and PERSIANN’s detection capability for moderate rain,heavy rain and rainstorms was relatively poor,with a large deviation.
作者 TIAN Wei WU Yun-long LIN Chen ZHANG Jing-guo LIM KAM SIAN Kenny Thiam Choy 田伟;吴云龙;林陈;张敬国;LIM KAM SIAN Kenny Thiam Choy(School of Computer and Software,Nanjing University of Information Science&Technology,Nanjing 210044 China;School of Atmospheric Science and Remote Sensing,Wuxi University,Wuxi,Jiangsu 214105 China)
出处 《Journal of Tropical Meteorology》 SCIE 2024年第3期275-288,共14页 热带气象学报(英文版)
基金 173 National Basic Research Program of China(2020-JCJQ-ZD-087-01)。
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