The time and regime dependencies of sensitive areas for tropical cyclone prediction using the CNOP method

doi:10.1007/s00376-012-1174-0

IOCAS-IR > 海洋环流与波动重点实验室

	The time and regime dependencies of sensitive areas for tropical cyclone prediction using the CNOP method
	Zhou Feifan 1; Mu Mu 2; Zhou, FF (reprint author), Chinese Acad Sci, Inst Atmospher Phys, Lab Cloud Precipitat Phys & Severe Storms, Beijing 100029, Peoples R China.
	2012-07-01
发表期刊	ADVANCES IN ATMOSPHERIC SCIENCES
ISSN	0256-1530
卷号	29 期号:4 页码:705-716
文章类型	Article
摘要	This study examines the time and regime dependencies of sensitive areas identified by the conditional nonlinear optimal perturbation (CNOP) method for forecasts of two typhoons. Typhoon Meari (2004) was weakly nonlinear and is herein referred to as the linear case, while Typhoon Matsa (2005) was strongly nonlinear and is herein referred to as the nonlinear case.
关键词	Time Dependence Cnop Sensitive Area Typhoon Targeted Observations
学科领域	Meteorology & Atmospheric Sciences
DOI	10.1007/s00376-012-1174-0
URL	查看原文
收录类别	SCI
语种	英语
WOS记录号	WOS:000305518200006
引用统计	被引频次：18[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/12200
专题	海洋环流与波动重点实验室
通讯作者	Zhou, FF (reprint author), Chinese Acad Sci, Inst Atmospher Phys, Lab Cloud Precipitat Phys & Severe Storms, Beijing 100029, Peoples R China.
作者单位	1.Chinese Acad Sci, Inst Atmospher Phys, Lab Cloud Precipitat Phys & Severe Storms, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Wave, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Zhou Feifan,Mu Mu,Zhou, FF . The time and regime dependencies of sensitive areas for tropical cyclone prediction using the CNOP method[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2012,29(4):705-716.
APA	Zhou Feifan,Mu Mu,&Zhou, FF .(2012).The time and regime dependencies of sensitive areas for tropical cyclone prediction using the CNOP method.ADVANCES IN ATMOSPHERIC SCIENCES,29(4),705-716.
MLA	Zhou Feifan,et al."The time and regime dependencies of sensitive areas for tropical cyclone prediction using the CNOP method".ADVANCES IN ATMOSPHERIC SCIENCES 29.4(2012):705-716.

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