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Does warmer China land attract more super typhoons?
[Xu, Xiangde; Yang, Xiangjing; Xu, Hongxiong; Guo, Yudi; Chen, Lianshou; Yu, Wei; Zhang, Shengjun] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China; Peng, Shiqiu; Wang, Dongxiao; Li, Yineng; Lai, Zhijuan] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Guangdong, Peoples R China; [Yang, Xiangjing] Chenzhou Meteorol Bur Hunan Prov, Chenzhou 423000, Peoples R China; [Tong, Daniel Q.] NOAA, Air Resources Lab, Silver Spring, MD 20910 USA; [Chan, Johnny C. L.] City Univ Hong Kong, Sch Energy & Environm, Hong Kong, Hong Kong, Peoples R China; speng@scsio.ac.cn
2013
Source PublicationSCIENTIFIC REPORTS
ISSN2045-2322
Volume3Pages:-1522
AbstractAccurate prediction of where and when typhoons (or named hurricanes which form over the North Atlantic Ocean) will make landfall is critical to protecting human lives and properties. Although the traditional method of typhoon track prediction based on the steering flow theory has been proven to be an effective way in most situations, it slipped up in some cases. Our analysis of the long-term Chinese typhoon records reveals that typhoons, especially super typhoons (those with maximum sustained surface winds of greater than 51 ms(-1)), have a trend to make landfalls toward warmer land in China over the past 50 years (1960-2009). Numerical sensitivity experiments using an advanced atmospheric model further confirm this finding. Our finding suggests an alternative approach to predict the landfall tracks of the most devastating typhoons in the southeastern China.
DepartmentLTO
Subject AreaMultidisciplinary Sciences
Funding OrganizationThis work was jointly supported by the MOST of China (973 Projects with Grant No. 2009CB421504 & 2011CB403505), the Innovation Key Program of the Chinese Academy of Sciences (Grant No. KZCX2-EW-208), National Natural Science Foundation of China (Grant No. 41076009 & 41075037), and the Hundred Talent Program of the Chinese Academy of Sciences. The Grid Analysis and Display System (GrADS) was employed to plot most of the figures. ; This work was jointly supported by the MOST of China (973 Projects with Grant No. 2009CB421504 & 2011CB403505), the Innovation Key Program of the Chinese Academy of Sciences (Grant No. KZCX2-EW-208), National Natural Science Foundation of China (Grant No. 41076009 & 41075037), and the Hundred Talent Program of the Chinese Academy of Sciences. The Grid Analysis and Display System (GrADS) was employed to plot most of the figures. ; This work was jointly supported by the MOST of China (973 Projects with Grant No. 2009CB421504 & 2011CB403505), the Innovation Key Program of the Chinese Academy of Sciences (Grant No. KZCX2-EW-208), National Natural Science Foundation of China (Grant No. 41076009 & 41075037), and the Hundred Talent Program of the Chinese Academy of Sciences. The Grid Analysis and Display System (GrADS) was employed to plot most of the figures. ; This work was jointly supported by the MOST of China (973 Projects with Grant No. 2009CB421504 & 2011CB403505), the Innovation Key Program of the Chinese Academy of Sciences (Grant No. KZCX2-EW-208), National Natural Science Foundation of China (Grant No. 41076009 & 41075037), and the Hundred Talent Program of the Chinese Academy of Sciences. The Grid Analysis and Display System (GrADS) was employed to plot most of the figures.
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Language英语
Funding OrganizationThis work was jointly supported by the MOST of China (973 Projects with Grant No. 2009CB421504 & 2011CB403505), the Innovation Key Program of the Chinese Academy of Sciences (Grant No. KZCX2-EW-208), National Natural Science Foundation of China (Grant No. 41076009 & 41075037), and the Hundred Talent Program of the Chinese Academy of Sciences. The Grid Analysis and Display System (GrADS) was employed to plot most of the figures. ; This work was jointly supported by the MOST of China (973 Projects with Grant No. 2009CB421504 & 2011CB403505), the Innovation Key Program of the Chinese Academy of Sciences (Grant No. KZCX2-EW-208), National Natural Science Foundation of China (Grant No. 41076009 & 41075037), and the Hundred Talent Program of the Chinese Academy of Sciences. The Grid Analysis and Display System (GrADS) was employed to plot most of the figures. ; This work was jointly supported by the MOST of China (973 Projects with Grant No. 2009CB421504 & 2011CB403505), the Innovation Key Program of the Chinese Academy of Sciences (Grant No. KZCX2-EW-208), National Natural Science Foundation of China (Grant No. 41076009 & 41075037), and the Hundred Talent Program of the Chinese Academy of Sciences. The Grid Analysis and Display System (GrADS) was employed to plot most of the figures. ; This work was jointly supported by the MOST of China (973 Projects with Grant No. 2009CB421504 & 2011CB403505), the Innovation Key Program of the Chinese Academy of Sciences (Grant No. KZCX2-EW-208), National Natural Science Foundation of China (Grant No. 41076009 & 41075037), and the Hundred Talent Program of the Chinese Academy of Sciences. The Grid Analysis and Display System (GrADS) was employed to plot most of the figures.
WOS IDWOS:000316544400005
Citation statistics
Cited Times:5[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.scsio.ac.cn/handle/344004/10926
Collection热带海洋环境国家重点实验室(LTO)
Corresponding Authorspeng@scsio.ac.cn
Recommended Citation
GB/T 7714
[Xu, Xiangde,Yang, Xiangjing,Xu, Hongxiong,et al. Does warmer China land attract more super typhoons?[J]. SCIENTIFIC REPORTS,2013,3:-1522.
APA [Xu, Xiangde.,Yang, Xiangjing.,Xu, Hongxiong.,Guo, Yudi.,Chen, Lianshou.,...&speng@scsio.ac.cn.(2013).Does warmer China land attract more super typhoons?.SCIENTIFIC REPORTS,3,-1522.
MLA [Xu, Xiangde,et al."Does warmer China land attract more super typhoons?".SCIENTIFIC REPORTS 3(2013):-1522.
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