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中国1961—2016年夏季持续和非持续性极端降水的变化特征
引用本文:贺冰蕊,翟盘茂.中国1961—2016年夏季持续和非持续性极端降水的变化特征[J].气候变化研究进展,2018,14(5):437-444.
作者姓名:贺冰蕊  翟盘茂
作者单位:中国气象科学研究院,北京 100081
基金项目:资助项目:国家自然科学基金面上项目(41575094)
摘    要:基于国家气象信息中心提供的1961—2016年2400多站逐日降水观测资料,根据百分位法确定极端降水,对中国夏季持续(持续2 d及以上)和非持续性(持续1 d)极端降水事件的变化特征进行了研究。结果表明:在气候变暖背景下,以江淮流域为代表,中国大部分地区极端降水量趋于增多,但华北、西南及西部部分地区趋于减少;除内蒙古中部、四川等地以外,中国大部极端降水对总降水的贡献呈增多趋势。进一步对华北、江淮、华南、西南4个代表区域进行分析,发现华北、西南地区的持续和非持续性极端降水量都呈减少趋势,持续性极端降水量的减少更突出,极端降水更多以非持续性形式出现;江淮、华南一带,两类极端降水量都呈增多趋势,持续性极端降水量的增加更明显,极端降水更多以持续性形式出现。

关 键 词:中国  持续性极端降水  非持续性极端降水  趋势  极端降水持续性结构  
收稿时间:2018-01-25
修稿时间:2018-04-08

Characteristics of the persistent and non-persistent extreme precipitation in China from 1961 to 2016
Bing-Rui HE,Pan-Mao ZHAI.Characteristics of the persistent and non-persistent extreme precipitation in China from 1961 to 2016[J].Advances in Climate Change,2018,14(5):437-444.
Authors:Bing-Rui HE  Pan-Mao ZHAI
Institution:Chinese Academy of Meteorological Sciences, Beijing 100081, China
Abstract:In this study, based on daily gauge precipitation data of 2480 stations from 1961 to 2016, the summer extreme precipitation event was defined using the 95th percentile, and the changes in persistent (last for at least 2 d) and non-persistent (1 d) extreme event in China were analyzed. The results indicate that under global warming, the contribution of extreme precipitation to total precipitation increased in most of China, but it decreased in the central part of Inner Mongolia and the Sichuan Basin. In North China and Southwest China, both persistent and non-persistent extreme precipitation totals decreased; the decreasing trend of persistent extreme precipitation was more significant; extreme precipitation event occurred as non-persistent event. Meanwhile, in the Yangtze River Basin and South China, both extreme precipitation totals increased; especially persistent extreme precipitation increased obviously; extreme precipitation events occurred more as persistent ones.
Keywords:China  Persistent extreme precipitation  Non-persistent extreme precipitation  Trend  Persistence structure  
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