Tropical Cyclone Center and Symmetric Structure Estimating From SMAP Data
文献类型:期刊论文
作者 | Zhang, Guosheng4,5; Xu, Chao4,5; Li, Xiaofeng3; Zhu, Ziqiang2; Perrie, William1 |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
出版日期 | 2022 |
卷号 | 60页码:11 |
ISSN号 | 0196-2892 |
关键词 | Sea surface Wind speed Sea measurements Microwave radiometry Hurricanes Oceans Synthetic aperture radar Hurricane center detection hurricane intensity radius of maximum wind (RMW) Soil Moisture Active Passive (SMAP) ocean winds |
DOI | 10.1109/TGRS.2021.3131004 |
通讯作者 | Li, Xiaofeng(xiaofeng.li@ieee.org) |
英文摘要 | We propose a methodology to estimate the tropical cyclone (TC) center location associated with the additional TC parameters of the radius of maximum wind (RMW) and intensity, purely from ocean winds observed by the Soil Moisture Active Passive (SMAP) radiometer. This method assumes a symmetric vortex. To demonstrate the method, we analyze 28 SMAP wind fields collected during 11 TCs. Verification of the estimated hurricane centers and wind distributions along the radius is compared with measurements provided by the airborne stepped-frequency microwave radiometer (SFMR) collected during its flying through hurricane cores and to sea surface wind fields derived from spaceborne synthetic aperture radar data. The significance of this simple method is that TC centers, intensities, and RMW can be estimated purely from SMAP wind products, despite SMAP's low spatial resolution. Comparing these 28 model results to the aircraft measurement (f-deck) and the best track (BT) data, we show that, for the latitudes and longitudes of the TC centers, the standard deviations are 0.28 degrees and 0.29 degrees, respectively, both with a correlation of 1.00. For the detected intensity, the standard deviation is 8.11 m/s, and the correlation is 0.84. We note that the TC intensity detected by this method can be even stronger than the maximum winds observed by the relatively low-resolution SMAP observations. |
资助项目 | National Key Research and Development Program of China[2019YFC1510100] ; Key Research and Development Project of Shandong Province[2019JZZY010102] ; Key Deployment Project of Center for Ocean Mega-Science, Chinese Academy of Sciences (CAS)[COMS2019R02] ; Chinese Academy of Sciences[Y9KY04101L] ; National Natural Science Foundation of China-Shandong Science Foundation[U2006211] ; Innovation Group Project of the Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)[311020004] ; Open Foundation from Marine Sciences in the First-Class Subjects of Zhejiang[20200102] ; Startup Foundation for Introducing Talent of the Nanjing University of Information Science and Technology (NUIST) ; Dalhousie University Ocean Frontier Institute ; Marine Atmosphere eXtreme Satellite Synergy (MAXSS) Project of the European Space Agency (ESA) ; Marine Environment Observation, Prediction and Response Network (MEOPAR) |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000761235300008 |
源URL | [http://ir.qdio.ac.cn/handle/337002/178248] |
专题 | 海洋研究所_海洋环流与波动重点实验室 |
通讯作者 | Li, Xiaofeng |
作者单位 | 1.Fisheries & Oceans Canada, Bedford Inst Oceanog, Dartmouth, NS B2Y 4A2, Canada 2.Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China 3.Chinese Acad Sci, Key Lab Ocean Circulat & Waves, Inst Oceanol, Qingdao 266071, Peoples R China 4.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China 5.Nanjing Univ Informat Sci & Technol, Sch Marine Sci, Nanjing 210044, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Guosheng,Xu, Chao,Li, Xiaofeng,et al. Tropical Cyclone Center and Symmetric Structure Estimating From SMAP Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:11. |
APA | Zhang, Guosheng,Xu, Chao,Li, Xiaofeng,Zhu, Ziqiang,&Perrie, William.(2022).Tropical Cyclone Center and Symmetric Structure Estimating From SMAP Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,11. |
MLA | Zhang, Guosheng,et al."Tropical Cyclone Center and Symmetric Structure Estimating From SMAP Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):11. |
入库方式: OAI收割
来源:海洋研究所
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