Knowledge Management System Of Institute of Oceanology, Chinese Academy of Sciences
| Aquarius semi-theoretical model of sea surface salinity retrieval for foam-covered surface | |
Liu, Shu-Bo1 ; Wei, En-Bo2,3,4; Li, Yi-Nan1; Dang, Hong-Xing1; Li, Hao1
| |
| 2020-06-02 | |
| Source Publication | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| ISSN | 0143-1161 |
| Volume | 41Issue:11Pages:4293-4311 |
| Corresponding Author | Wei, En-Bo(ebwei@qdio.ac.cn) |
| Abstract | For high wind speeds (7-22 m s(-1)), a semi-theoretical model for retrieving sea surface salinity (SSS) is derived from the version V3.0 of Aquarius data. In the model, the sea surface brightness temperature is the sum of the brightness temperatures of foam-covered sea surface and rough sea surface, which is weighted by the foam coverage. The emissivity of foam layer is dealt with the effective permittivity of foam composites and the wave approach theory, where the air volume fraction and thickness of the foam layer are optimized with Aquarius data. Due to the influence of foam coverage, the foam contribution to the sea surface emissivity is smaller than that of the rough sea surface, only about 20% at 22 m s(-1). Furthermore, the model is applied to retrieve Aquarius SSS for the wind speeds larger than 7 m s(-1). The inverse accuracy is assessed by comparison with ARGO monthly gridded salinity products. The average root mean square error (RMSE) between the retrieved SSS and Argo SSS are about 0.20 and 0.30 psu for the latitude within 40 degrees S-40 degrees N and 70 degrees S-70 N, respectively. The model improves the retrieval accuracy of SSS for high wind speeds. |
| DOI | 10.1080/01431161.2020.1714783 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Key R&D Program of China[2016YFC1401006] ; National Natural Science Foundation of China[41676169] |
| WOS Research Area | Remote Sensing ; Imaging Science & Photographic Technology |
| WOS Subject | Remote Sensing ; Imaging Science & Photographic Technology |
| WOS ID | WOS:000510811100001 |
| Publisher | TAYLOR & FRANCIS LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.qdio.ac.cn/handle/337002/165350 |
| Collection | 中国科学院海洋研究所 |
| Corresponding Author | Wei, En-Bo |
| Affiliation | 1.China Acad Space Technol, Xian Inst Space Radio Technol, Xian, Peoples R China 2.Chinese Acad Sci, Qingdao 266071, Peoples R China 3.Inst Oceanol, Qingdao Natl Lab Marine Sci & Technol, Qingdao 266071, Peoples R China 4.Ctr Ocean Megasci, Qingdao 266071, Peoples R China |
| Corresponding Author Affilication | Institute of Oceanology, Chinese Academy of Sciences; Center for Ocean Mega-Science, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Liu, Shu-Bo,Wei, En-Bo,Li, Yi-Nan,et al. Aquarius semi-theoretical model of sea surface salinity retrieval for foam-covered surface[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2020,41(11):4293-4311. |
| APA | Liu, Shu-Bo,Wei, En-Bo,Li, Yi-Nan,Dang, Hong-Xing,&Li, Hao.(2020).Aquarius semi-theoretical model of sea surface salinity retrieval for foam-covered surface.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(11),4293-4311. |
| MLA | Liu, Shu-Bo,et al."Aquarius semi-theoretical model of sea surface salinity retrieval for foam-covered surface".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.11(2020):4293-4311. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Aquarius semi-theore（2864KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | ||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment