| Chaos particle swarm optimization combined with circular median filtering for geophysical parameters retrieval from Windsat | |
| Zhang Lei; Wang Zhenzhan; Shi Hanqing; Long Zhiyong; Du Huadong; Wang, ZZ (reprint author), Chinese Acad Sci, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China. | |
| Department | 微波遥感部 |
| Source Publication | JOURNAL OF OCEAN UNIVERSITY OF CHINA
 |
| 2016 | |
| Volume | 15Issue:4Pages:593-605 |
| ISSN | 1672-5182 |
| Language | 英语 |
| Keyword | Windsat Polarimetric Microwave Radiometer Wind Retrieval Chaotic Particle Swarm Optimization Circular Median Filtering |
| Abstract | 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. |
| Indexed By | SCI |
| Document Type | 期刊论文 |
| Identifier | http://ir.nssc.ac.cn/handle/122/5618 |
| Collection | 微波遥感部 |
| Corresponding Author | Wang, ZZ (reprint author), Chinese Acad Sci, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China. |
| Recommended Citation GB/T 7714 | Zhang Lei,Wang Zhenzhan,Shi Hanqing,et al. Chaos particle swarm optimization combined with circular median filtering for geophysical parameters retrieval from Windsat[J]. JOURNAL OF OCEAN UNIVERSITY OF CHINA,2016,15(4):593-605. |
| APA | Zhang Lei,Wang Zhenzhan,Shi Hanqing,Long Zhiyong,Du Huadong,&Wang, ZZ .(2016).Chaos particle swarm optimization combined with circular median filtering for geophysical parameters retrieval from Windsat.JOURNAL OF OCEAN UNIVERSITY OF CHINA,15(4),593-605. |
| MLA | Zhang Lei,et al."Chaos particle swarm optimization combined with circular median filtering for geophysical parameters retrieval from Windsat".JOURNAL OF OCEAN UNIVERSITY OF CHINA 15.4(2016):593-605. |
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| 2016154593-605.pdf（1423KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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