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New sea surface salinity retrieval methods based on SMOS data
Wang, Zhenzhan; Tong, Xiaolin; Lu, Hongli; Wang, ZZ (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Ctr Space Sci & Appl Res, Beijing 100190, Peoples R China.
Department微波遥感部
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
2014
Volume35Issue:11-12Pages:4371-4382
ISSN0143-1161
Language英语
AbstractThe quality of brightness temperatures (T(B)s) provided by the Soil Moisture and Ocean Salinity (SMOS) satellite is assessed and validated by comparing them with simulated T(B)s. T-B simulations are computed using the default transfer model implemented by the European Space Agency (ESA) level 2 ocean salinity processor, with auxiliary data taken from The European Centre for Medium Range Weather Forecasts (ECMWF). The ascending SMOS data of the western Pacific Ocean region (0 N-30 N, 120 E-150 E) in July and August 2012 are analysed, and biases of several kelvin are observed between the averaged SMOS T-B and simulated T-B, which strongly affect the accuracy of sea surface salinity (SSS) retrieval. Two methods are proposed in this article to deal with the biases. The first is that the biases are corrected, and the full range of SMOS multiangular T-B is used for retrieval. The second is that the biases are not corrected, and only T-B at angles of incidence in the range of 35-55 are used. Then all measurements of a given Stokes parameter in a pixel are regressed with respect to angles of incidence using a second-order polynomial fit in order to reduce noise in the T-B. Finally, a least squares iterative process is used to retrieve SSS using the fitted T-B. The accuracy of the retrieved SSS using the above two methods is estimated by comparing them with the Array for Real-Time Geostrophic Oceanography SSS and the ESA level 2 SSS.
Indexed BySCI ; EI
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/4524
Collection微波遥感部
Corresponding AuthorWang, ZZ (reprint author), Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Ctr Space Sci & Appl Res, Beijing 100190, Peoples R China.
Recommended Citation
GB/T 7714
Wang, Zhenzhan,Tong, Xiaolin,Lu, Hongli,et al. New sea surface salinity retrieval methods based on SMOS data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2014,35(11-12):4371-4382.
APA Wang, Zhenzhan,Tong, Xiaolin,Lu, Hongli,&Wang, ZZ .(2014).New sea surface salinity retrieval methods based on SMOS data.INTERNATIONAL JOURNAL OF REMOTE SENSING,35(11-12),4371-4382.
MLA Wang, Zhenzhan,et al."New sea surface salinity retrieval methods based on SMOS data".INTERNATIONAL JOURNAL OF REMOTE SENSING 35.11-12(2014):4371-4382.
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