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摘要:
Rainstorms are one of the extreme rainfall events that cause serious disasters,such as urban flooding and mountain torrents.Traditional studies have used rain gauge observations to analyze rainstorm events,but relevant information is usually missing in gauge-sparse areas.Satellite-derived precipitation datasets serve as excellent supplements or substitutes for the gauge observations.By developing a grid-based rainstorm-identification tool,we used the Tropical Rainfall Measurement Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) time series product to reveal the spatial and temporal variabilities of rainstorms over China during 1998-2017.Significant patterns of both increasing and decreasing rainstorm occurrences were detected,with no spatially uniform trend being observed across the whole country.There was an increase in the area being affected by rainstorms during the 20-year period,with rainstorm centers shifting along the southwest-northeast direction.Rainstorm occurrence was found to be correlated with local total precipitation.By comparing rainstorm occurrence with climate variables such as the El Ni(n)o-Southern Oscillation and Pacific Decadal Oscillation,we also found that climate change was likely to be the primary reason for rainstorm occurrence in China.This study complements previous studies that used gauge observations by providing a better understanding of the spatiotemporal dynamics of China's rainstorms.
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篇名 Spatial and temporal variabilities of rainstorms over China under climate change
来源期刊 地理学报(英文版) 学科
关键词
年,卷(期) 2021,(4) 所属期刊栏目 Research Articles
研究方向 页码范围 479-496
页数 18页 分类号
字数 语种 英文
DOI 10.1007/s11442-021-1854-8
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引文网络交叉学科
相关学者/机构
期刊影响力
地理学报(英文版)
月刊
1009-637X
11-4546/P
16开
北京安外大屯路甲11号
1990
eng
出版文献量(篇)
1776
总下载数(次)
1
总被引数(次)
12509
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