| 中法海洋卫星微波散射计风场反演残差特性研究 |
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| 引用本文： | 王冰花,董晓龙,林文明,郎姝燕,朱迪,云日升.中法海洋卫星微波散射计风场反演残差特性研究[J].海洋学报,2021,43(11):157-165. |
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| 作者姓名： | 王冰花 董晓龙 林文明 郎姝燕 朱迪 云日升 |
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| 作者单位： | 1.中国科学院大学，北京 100049 |
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| 基金项目： | “十二五”海洋观测卫星地面系统CFOSAT散射计预处理课题（Y7C01KAJ10） |
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| 摘 要： | 2018年10月发射的中法海洋卫星散射计(CSCAT)是国际上首个扇形波束旋转扫描微波散射计。本文以最大似然估计风场反演算法为基线，详细分析了中法海洋卫星微波散射计海面风场反演代价函数的残差特性，重点研究了新的观测几何对风场反演残差以及风场质量的影响，并建立了风场模糊解的似然概率模型函数。结果表明，CSCAT风场反演的残差特性随风矢量单元在刈幅交轨方向位置的变化而变化，模糊解似然概率模型函数的指数分布在?0.4～?1.8之间。分析结果为CSCAT风场质量控制和二维变分分析去模糊算法的精细化调整提供了重要的参考。
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| 关 键 词： | 中法海洋卫星 散射计 风场反演 最大似然估计 残差 |
| 收稿时间： | 2020-12-09 |
On the wind inversion characteristics of China-France Oceanography Satellite microwave scatterometer |
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| Institution: | 1.University of Chinese Academy of Sciences, Beijing 100049, China2.Key Laboratory of Microwave Remote Sensing, Chinese Academy of Science, Beijing 100190, China3.School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China4.National Satellite Ocean Application Service, Beijing 100081, China |
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| Abstract: | China-France Oceanography Satellite scatterometer (CSCAT) is the first rotating fan beam scatterometer internationally, which was flown onboard China-France Oceanography Satellite (CFOSAT) on October 2018. Based on the maximum likelihood estimation wind inversion algorithm, the residual characteristics of the CSCAT sea surface wind inversion cost function in detail, focuses on the influence of the new observation geometry on the wind inversion residual and wind quality is analyzed in this article, we establish the likelihood probability model function of the ambiguous solutions. The results show that the residual characteristic of the CSCAT wind inversion varies with the position of the wind vector cell (WVC) across the swath. The exponential distribution of the ambiguous solution likelihood probability model function is between ?0.4 and ?1.8. The results provide an important reference for the quality control of CSCAT and the refinement adjustment of the two dimensional variational ambiguity removal algorithm. |
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