Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?
文献类型:期刊论文
作者 | Qin Xiaohao1; Mu Mu2 |
刊名 | ADVANCES IN ATMOSPHERIC SCIENCES
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出版日期 | 2014-03-01 |
卷号 | 31期号:2页码:252-262 |
关键词 | adaptive observation tropical cyclone intensity forecast conditional nonlinear optimal perturbation |
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. |
英文摘要 | 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. |
学科主题 | Meteorology & Atmospheric Sciences |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000334180700002 |
源URL | [http://ir.qdio.ac.cn/handle/337002/23914] ![]() |
专题 | 海洋研究所_海洋环流与波动重点实验室 |
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. Can Adaptive Observations Improve Tropical Cyclone Intensity Forecasts?[J]. ADVANCES IN ATMOSPHERIC SCIENCES,2014,31(2):252-262. |
APA | Qin Xiaohao,&Mu Mu.(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. |
入库方式: OAI收割
来源:海洋研究所
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