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遥感技术与应用  2016, Vol. 31 Issue (6): 1037-1044    DOI: 10.11873/j.issn.1004-0323.2016.6.1037
微波遥感专栏     
基于星载微波辐射计的海面风场对海表盐度反演影响研究
王迎强1,2,严卫2,严明3
(1.解放军理工大学电磁环境效应与光电工程国家级重点实验室,江苏 南京 211101;
2.解放军理工大学气象海洋学院,江苏 南京 211101;3.中国航海图书出版社,天津 300450)
The Effects of Sea Surface Wind on Sea Surface Salinity Retrieval based on Spaceborne Microwave Radiometer
Wang Yingqiang1,2,Yan Wei2,Yan Ming3
(1.National Key Laboratory on Electromagnetic Environmental Effects and Electro\|optical Engineering,
PLA University of Science & Technology,Nanjing 211101,China;
2.Institute of Meteorology and Oceanography,PLA University of
Science & Technology,Nanjing 211101,China;
3.China Navigation Publications Press,Tianjin 300450,China)
 全文: PDF(6018 KB)  
摘要:

为了研究海面风场对海表盐度反演结果的影响,需要构建准确的海面风场影响下的海表亮温模型。将不同海面粗糙度模型计算的结果与Aquarius盐度计卫星产品中的海面粗糙度数据进行了比较,结果表明双尺度模型结合海面泡沫模型的计算结果与Aquarius卫星产品粗糙度数据一致性最好。基于此构建了海面风场影响下的海面亮温仿真模型以及双极化通道的盐度反演模型,研究了海面风场对L波段海面微波辐射特性的影响以及风场资料误差对盐度反演精度的影响。仿真结果表明,2 m/s的风速误差对盐度反演结果的影响较大。在低温和大风速条件下达到1 psu以上,尚不能满足目前盐度遥感的精度要求。20°的风向误差对在中小入射角条件下对盐度反演结果影响较小,对盐度遥感的月平均要求影响不大。

关键词: 海表面盐度海面粗糙度海面风场盐度反演    
Abstract:

For studying the effect of sea surface wind on sea surface salinity retrieval,the reasonable forward model of brightness temperature simulation should be established.The calculated results of different main sea roughness models used in sea salinity retrieval at L\|band are compared with the roughness data of Aquarius product.The result shows that the two scale & foam model agrees best with the Aquarius data.Forward model of the brightness temperature simulation of wind\|induced sea is built based on the flat sea model and the two scale & foam model.The effects of sea surface wind on seawater permittivity and the effects of sea surface wind error on salinity retrieval are investigated.The results show that 2 m/s wind velocity error has a great effect on the salinity retrieval and fails to reach the required precision when the sea surface temperature is low or the wind velocity is high.20°wind direction error has a weak effect on the salinity retrieval and reaches the monthly average precision requirement when the incident angle is not large.

 

Key words: Sea surface salinity    Sea roughness    Sea surface wind    Salinity retrieval
收稿日期: 2015-11-27 出版日期: 2016-12-30
基金资助:

国家自然科学基金项目“基于GNSS信号极化特性的降雨强度反演及仿真技术研究”(41505016),国家自然科学基金项目“星载海洋遥感微波辐射计辐射测量受电离层及对流层大气环境的影响研究”(41306187)。

通讯作者: 严〓明(1990-),男,安徽安庆人,硕士,助理工程师,主要从事卫星海洋遥感研究。Email:yanming625@foxmail.com。   
作者简介: 王迎强(1982-),男,江苏南京人,博士,讲师,主要从事大气海洋遥感研究。Email:wyqiang198253@163.com。
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引用本文:

王迎强,严卫,严明. 基于星载微波辐射计的海面风场对海表盐度反演影响研究[J]. 遥感技术与应用, 2016, 31(6): 1037-1044.

Wang Yingqiang,Yan Wei,Yan Ming. The Effects of Sea Surface Wind on Sea Surface Salinity Retrieval based on Spaceborne Microwave Radiometer. Remote Sensing Technology and Application, 2016, 31(6): 1037-1044.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.6.1037        http://www.rsta.ac.cn/CN/Y2016/V31/I6/1037

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