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DOI10.1002/joc.4969
Spatiotemporal patterns of annual and seasonal precipitation extreme distributions across China and potential impact of tropical cyclones
Gu, Xihui1; Zhang, Qiang2,3,4; Singh, Vijay P.5,6; Liu, Lin1,7; Shi, Peijun2,3,4
2017-08-01
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2017
卷号37期号:10
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

Statistical properties of annual and seasonal daily maximum precipitation in terms of nonstationarity, upper tail properties, and impact of tropical cyclones (TCs) were analysed, using data from 728 meteorological stations across China and TCs tracks data covering a period of 1951-2014. The change points and trends detected by stepwise regression method and modified Mann-Kendall, respectively, provide limited evidence of the violation of the stationarity assumption in both annual and seasonal extreme precipitation, and we cannot make conclusive statements about the presence of a possible climate change signal. For stationary stations, the ratio of scale to location parameters of generalized extreme value (GEV) distribution shows exponential for annual and seasonal extreme precipitation in some sub-regions. On the other hand, annual and seasonal maxima point to an unbounded-above and heavy-tail behaviour, and discussion of these upper tail properties in light of mixtures of different rainfall-generating mechanisms is provided. In addition, anomalous values of the GEV shape parameter are associated with TCs in controlling the upper tail of annual maxima on China's coastal areas with strong spatial heterogeneities.


英文关键词extreme precipitation tropical cyclones nonstationarity GEV distribution upper tails
领域气候变化
收录类别SCI-E
WOS记录号WOS:000406706200016
WOS关键词POYANG LAKE BASIN ; CLIMATE INDEXES ; RIVER-BASIN ; TRENDS ; RAINFALL ; FREQUENCY ; STATIONARITY ; TEMPERATURE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/37171
专题气候变化
作者单位1.Sun Yat Sen Univ, Dept Water Resources & Environm, Guangzhou, Guangdong, Peoples R China;
2.Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Beijing 100875, Peoples R China;
3.Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Beijing, Peoples R China;
4.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China;
5.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX USA;
6.Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX USA;
7.Univ Cincinnati, Dept Geog, Cincinnati, OH 45221 USA
推荐引用方式
GB/T 7714
Gu, Xihui,Zhang, Qiang,Singh, Vijay P.,et al. Spatiotemporal patterns of annual and seasonal precipitation extreme distributions across China and potential impact of tropical cyclones[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37(10).
APA Gu, Xihui,Zhang, Qiang,Singh, Vijay P.,Liu, Lin,&Shi, Peijun.(2017).Spatiotemporal patterns of annual and seasonal precipitation extreme distributions across China and potential impact of tropical cyclones.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37(10).
MLA Gu, Xihui,et al."Spatiotemporal patterns of annual and seasonal precipitation extreme distributions across China and potential impact of tropical cyclones".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37.10(2017).
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