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题名: Chaos particle swarm optimization combined with circular median filtering for geophysical parameters retrieval from Windsat
作者: Zhang Lei; Wang Zhenzhan; Shi Hanqing; Long Zhiyong; Du Huadong
作者部门: 微波遥感部
通讯作者: Wang, ZZ (reprint author), Chinese Acad Sci, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China.
关键词: WindSat ; polarimetric microwave radiometer ; wind retrieval ; chaotic particle swarm optimization ; circular median filtering
刊名: JOURNAL OF OCEAN UNIVERSITY OF CHINA
ISSN号: 1672-5182
出版日期: 2016
卷号: 15, 期号:4, 页码:593-605
收录类别: SCI
项目资助者: National Natural Science Foundation of China [41205013, 41105012] ; NASA Earth Science MEaSUREs DISCOVER Project ; NASA Earth Science Physical Oceanography Program
英文摘要: This paper established a geophysical retrieval algorithm for sea surface wind vector, sea surface temperature, columnar atmospheric water vapor, and columnar cloud liquid water from WindSat, using the measured brightness temperatures and a matchup database. To retrieve the wind vector, a chaotic particle swarm approach was used to determine a set of possible wind vector solutions which minimize the difference between the forward model and the WindSat observations. An adjusted circular median filtering function was adopted to remove wind direction ambiguity. The validation of the wind speed, wind direction, sea surface temperature, columnar atmospheric water vapor, and columnar liquid cloud water indicates that this algorithm is feasible and reasonable and can be used to retrieve these atmospheric and oceanic parameters. Compared with moored buoy data, the RMS errors for wind speed and sea surface temperature were 0.92 m s(-1) and 0.88A degrees C, respectively. The RMS errors for columnar atmospheric water vapor and columnar liquid cloud water were 0.62 mm and 0.01 mm, respectively, compared with F17 SSMIS results. In addition, monthly average results indicated that these parameters are in good agreement with AMSR-E results. Wind direction retrieval was studied under various wind speed conditions and validated by comparing to the QuikSCAT measurements, and the RMS error was 13.3A degrees. This paper offers a new approach to the study of ocean wind vector retrieval using a polarimetric microwave radiometer.
语种: 英语
内容类型: 期刊论文
URI标识: http://ir.nssc.ac.cn/handle/122/5618
Appears in Collections:微波遥感部_期刊论文

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