New sea surface salinity retrieval methods based on SMOS data
文献类型：期刊论文
| 作者 | Wang, Zhenzhan; Tong, Xiaolin; Lu, Hongli |
| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
 |
| 出版日期 | 2014 |
| 卷号 | 35期号:11-12页码:4371-4382 |
| ISSN号 | 0143-1161 |
| 通讯作者 | 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. |
| 英文摘要 | The 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. |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| 源URL | [http://ir.nssc.ac.cn/handle/122/4524]  |
| 专题 | 国家空间科学中心_微波遥感部 |
| 推荐引用方式 GB/T 7714 | Wang, Zhenzhan,Tong, Xiaolin,Lu, Hongli. 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.(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. |
入库方式： OAI收割
来源：国家空间科学中心
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