CSpace  > 应用数学研究所
An Operational Statistical Scheme for Tropical Cyclone Induced Wind Gust Forecasts
Li, Qinglan1,5; Xu, Pengcheng2; Wang, Xingbao1,3; Lan, Hongping4,5; Cao, Chunyan4,5; Li, Guangxin1; Zhang, Lijie4,5; Sun, Liqun1
2016-12-01
Source PublicationWEATHER AND FORECASTING
ISSN0882-8156
Volume31Issue:6Pages:1817-1832
AbstractThis study provides a quantitative forecast method for predicting the potential maximum wind gust at certain automatic weather stations (AWSs) in South China through the investigation of the relationship between the wind gusts observed at the stations and tropical cyclones' (TCs) main characteristics: TC intensity, TC distance to the station, TC azimuth relative to the station, and TC size. Historical TC data from 1968 to June 2014 within a distance of 700 km to several AWSs in South China are analyzed. The wind gust data available for the same period taken from six coastal AWSs: Yantian International Container Terminal (YICT), Mawan Port (MWP), and Shekou Ferry Terminal (SFT) in Shenzhen, and Hong Kong Observatory (HKO), Cheung Chau Island (CCH), and Waglan Island (WGL) in Hong Kong, are used to build the statistical relationship. The probability of gust gale occurrence (wind gust >= 17 m s(-1)) at these six stations is also computed. Results show that the wind induced by offshore TCs is strongly affected by the surrounding terrain conditions of the stations. Coastal stations open to the wind direction suffer a greater wind influence than do stations with obstructions located in the wind direction. When TCs are approaching the coast in South China, the most dangerous area is the northeast quadrant of TCs. In this quadrant, typhoons might incur gust gales at coastal stations in South China even at a distance of more than 400 km from the stations.
DOI10.1175/WAF-D-16-0015.1
Language英语
Funding ProjectNatural Science Foundation of Guangdong Province[2015A030313742] ; Natural Science Foundation of Guangdong Province[2016A050503035] ; Innovation of Science and Technology Commission of Shenzhen Municipality[JCYJ20120617115926138] ; Innovation of Science and Technology Commission of Shenzhen Municipality[JCYJ20150521144320984]
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000391518700005
PublisherAMER METEOROLOGICAL SOC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/24510
Collection应用数学研究所
Corresponding AuthorLi, Qinglan
Affiliation1.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
2.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing, Peoples R China
3.Bur Meteorol, Ctr Australian Weather & Climate Res, Melbourne, Vic, Australia
4.Shenzhen Meteorol Bur, Shenzhen, Peoples R China
5.Shenzhen Key Lab Severe Weather South China, Shenzhen, Peoples R China
Recommended Citation
GB/T 7714
Li, Qinglan,Xu, Pengcheng,Wang, Xingbao,et al. An Operational Statistical Scheme for Tropical Cyclone Induced Wind Gust Forecasts[J]. WEATHER AND FORECASTING,2016,31(6):1817-1832.
APA Li, Qinglan.,Xu, Pengcheng.,Wang, Xingbao.,Lan, Hongping.,Cao, Chunyan.,...&Sun, Liqun.(2016).An Operational Statistical Scheme for Tropical Cyclone Induced Wind Gust Forecasts.WEATHER AND FORECASTING,31(6),1817-1832.
MLA Li, Qinglan,et al."An Operational Statistical Scheme for Tropical Cyclone Induced Wind Gust Forecasts".WEATHER AND FORECASTING 31.6(2016):1817-1832.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Qinglan]'s Articles
[Xu, Pengcheng]'s Articles
[Wang, Xingbao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Qinglan]'s Articles
[Xu, Pengcheng]'s Articles
[Wang, Xingbao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Qinglan]'s Articles
[Xu, Pengcheng]'s Articles
[Wang, Xingbao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.