Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/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 |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
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). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论