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 | |
发表期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING |
ISSN | 0143-1161 |
卷号 | 41期号:11页码:4293-4311 |
通讯作者 | Wei, En-Bo([email protected]) |
摘要 | 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 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key R&D Program of China[2016YFC1401006]; National Natural Science Foundation of China[41676169] |
WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000510811100001 |
出版者 | TAYLOR & FRANCIS LTD |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.qdio.ac.cn/handle/337002/165350 |
专题 | 中国科学院海洋研究所 |
通讯作者 | Wei, En-Bo |
作者单位 | 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 |
通讯作者单位 | 中国科学院海洋研究所; 中国科学院海洋大科学研究中心 |
推荐引用方式 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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Aquarius semi-theore(2864KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 浏览 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论