On the wind inversion characteristics of China-France Oceanography Satellite microwave scatterometer

Wang Binghua; Dong Xiaolong; Lin Wenming; Lang Shuyan; Zhu Di; Yun Risheng

doi:10.12284/hyxb2021164

Volume 43 Issue 11

Dec. 2021

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Wang Binghua，Dong Xiaolong，Lin Wenming, et al. On the wind inversion characteristics of China-France Oceanography Satellite microwave scatterometer[J]. Haiyang Xuebao，2021, 43(11)：157–165 doi: 10.12284/hyxb2021164

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On the wind inversion characteristics of China-France Oceanography Satellite microwave scatterometer

doi: 10.12284/hyxb2021164

Wang Binghua^{1, 2
,},
Dong Xiaolong^{1, 2
,
,},
Lin Wenming³,
Lang Shuyan⁴,
Zhu Di^{1, 2},
Yun Risheng²

1.
University of Chinese Academy of Sciences, Beijing 100049, China
2.
Key Laboratory of Microwave Remote Sensing, Chinese Academy of Science, Beijing 100190, China
3.
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
4.
National Satellite Ocean Application Service, Beijing 100081, China

Received Date: 2020-12-09
Rev Recd Date: 2021-04-28

Available Online: 2021-08-16

Publish Date: 2021-12-31

Abstract

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.
- China-France Oceanography Satellite,
- scatterometer,
- wind retrieval,
- maximum likelihood estimation,
- residual

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References(16)

References

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