Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?

doi:10.1007/s00376-013-3008-0

IOCAS-IR > 海洋环流与波动重点实验室

	Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?
	Qin Xiaohao 1; Mu Mu 2; Qin, XH (reprint author), Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China.
	2014-03-01
发表期刊	ADVANCES IN ATMOSPHERIC SCIENCES
卷号	31 期号:2 页码:252-262
文章类型	Article
摘要	In order to investigate whether adaptive observations can improve tropical cyclone (TC) intensity forecasts, observing system simulation experiments (OSSEs) were conducted for 20 TC cases originating in the western North Pacific during the 2010 season according to the conditional nonlinear optimal perturbation (CNOP) sensitivity, using the fifth version of the PSU/NCAR mesoscale model (MM5) and its 3DVAR assimilation system. A new intensity index was defined as the sum of the number of grid points within an allocated square centered at the corresponding forecast TC central position, that satisfy constraints associated with the Sea Level Pressure (SLP), near-surface horizontal wind speed, and accumulated convective precipitation. The higher the index value is, the more intense the TC is.
关键词	Adaptive Observation Tropical Cyclone Intensity Forecast Conditional Nonlinear Optimal Perturbation
学科领域	Meteorology & Atmospheric Sciences
DOI	10.1007/s00376-013-3008-0
收录类别	SCI
语种	英语
WOS记录号	WOS:000334180700002
引用统计	被引频次：9[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/337002/23914
专题	海洋环流与波动重点实验室
通讯作者	Qin, XH (reprint author), Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China.
作者单位	1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Qin Xiaohao,Mu Mu,Qin, XH . Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2014,31(2):252-262.
APA	Qin Xiaohao,Mu Mu,&Qin, XH .(2014).Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?.ADVANCES IN ATMOSPHERIC SCIENCES,31(2),252-262.
MLA	Qin Xiaohao,et al."Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?".ADVANCES IN ATMOSPHERIC SCIENCES 31.2(2014):252-262.

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