民政部 教育部 减灾与应急管理研究院
    

当前位置: 首页 » 科研动态

 
研究进展- Tropical cyclonic rainfall in China: changing properties, seasonality and causes
发布时间: 2018-05-07  

Qiang Zhang, Yangchen Lai, Xihui Gu, Peijun Shi, Vijay P. Singh

 [Qiang Zhang, Peijun Shi]. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China.

[Qiang Zhang, Peijun Shi]. Faculty of Geographical Science, Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China.

[Qiang Zhang, Peijun Shi]. State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China.

[Yangchen Lai]. Department of Water Resources and Environment, Sun Yatsen University, Guangzhou 510275, China.

[Xihui Gu]. School of Environmental Studies, China University of Geosciences, Wuhan, China.

[Vijay P. Singh]. Department of Biological and Agricultural Engineering and Zachry Department of Civil Engineering, Texas A&M University, College Station, Texas, USA.

 

ABSTRACTUsing daily rainfall data from 1936 stations across China, this study investigated tropical cyclonic rainfall (TCR) changes during 19602014. The possible reasons behind TCR changes were examined using tracks and frequency of tropical cyclones (TCs) in both space and time. The highest annual TCR occur in coastal regions of east and southeast China (>500mm/yr). At monthly scale, August TCR can reach 150250mm in coastal regions. From the contribution viewpoint, TCR accounts for more than 40% of the monthly total rainfall and extreme rainfall events along the southeast coast of China. The contributions of TCR to the monthly rainfall amount decrease rapidly from coast to inland and are even faster for contributions of TCR to extreme rainfall. The distance inland from the shoreline with 250km has been identified as the threshold, within that these contributions abruptly increase with decreasing distance from shoreline, and vice versa. In terms of extreme rainfall regimes, logistic and Poisson regressive techniques were used to identify the connections between TCinduced extreme rainfall and El Niño–Southern Oscillation (ENSO). Both these two regressions reveal that TCinduced extreme rainfall tends to occur with higher frequency and magnitude in southeastern China (east and northeast coast of China) during La Niña (El Niño) years (El Niño). These consistent relations and remarkable spatial patterns can help to predict the occurrence of TCinduced extreme rainfall events across eastern China.

Published in Journal of Geophysical Research, 2018, https://doi.org/10.1029/2017JD028119


 
民政部 教育部 减灾与应急管理研究院
Copyright©2010-2013 减灾与应急管理研究院  版权所有    |   地址: 北京市新街口外大街19号    |       网站备案号:京ICP备10031106号