IOCAS-IR
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 PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN0143-1161
Volume41Issue:11Pages:4293-4311
Corresponding AuthorWei, En-Bo(ebwei@qdio.ac.cn)
AbstractFor 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.
DOI10.1080/01431161.2020.1714783
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2016YFC1401006] ; National Natural Science Foundation of China[41676169]
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000510811100001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/165350
Collection中国科学院海洋研究所
Corresponding AuthorWei, En-Bo
Affiliation1.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 AffilicationInstitute 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.
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