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
发表期刊WEATHER AND FORECASTING
ISSN0882-8156
卷号31期号:6页码:1817-1832
摘要This 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
语种英语
资助项目Natural 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研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000391518700005
出版者AMER METEOROLOGICAL SOC
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/24510
专题应用数学研究所
通讯作者Li, Qinglan
作者单位1.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
推荐引用方式
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Qinglan]的文章
[Xu, Pengcheng]的文章
[Wang, Xingbao]的文章
百度学术
百度学术中相似的文章
[Li, Qinglan]的文章
[Xu, Pengcheng]的文章
[Wang, Xingbao]的文章
必应学术
必应学术中相似的文章
[Li, Qinglan]的文章
[Xu, Pengcheng]的文章
[Wang, Xingbao]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。