RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2022, Vol. 31 >> Issue (6): 1393-1402.doi: 10.11870/cjlyzyyhj202206019

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Characteristics and Circulation Classification of Extreme Daily Precipitation Events in Hubei Province During Summer

ZHANG Ling1, XIONG Kai-guo1,ZHOU Yue2   

  1. (1.Wuhan Regional Climate Center, Wuhan 400070, China; 2.Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research, Institute of Heavy Rain, China Meteorological Administration,Wuhan 430205, China)
  • Online:2022-06-20 Published:2022-07-11

Abstract: Based on the daily precipitation data in Hubei Province from1961 to 2018, this paper analyzed the characteristics of extreme daily precipitation events by using the Percentile method. And, it also divided large-scale circulation of the extreme precipitation events from 1981 to 2018 into three main types with the method of PCT.The results show that:(1) The distribution of the threshold of extreme daily precipitation at different levels is similar to that of its climate state in this region, which is larger in the south and east than in the north and west.And the thresholds of these two factors overlap at the center.(2)Relative to the 99 percentile and 90 percentile,95 percentile makes the greatest contribution to summer rainfall. (3)Three PCT types are obtained,which is consistent with previous research: Southwest Low Trough and Northeast high Pressure Ridge in 500 hPa,Southwest Vortex and Northeast anticyclone in low-level for Type I; Jianghuai Trough, Northeast weak Ridge in 500 hPa, Southwest Vortex and Bohai Sea anticyclone in low-level for Type II; deep Northeast Trough and shallow Southwest trough, which formed inclined trough from the northeast to the southwest in 500 hPa, Southwest cyclone and northeast cyclone in low-level for Type III. Comparing the above-mentioned three circulation types,the circulation types reflected in the extreme daily precipitation events occurred in Hubei ProvinceRiver on July 6-7, 2020, is Type III which can be offered as an subjective approach to classification and prediction of extreme precipitation events in the future.

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