Comparison of two wind algorithms of ENVISAT ASAR at high wind

Song Guiting; Hou Yijun; He Yijun

doi:10.1007/BF02842781

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Comparison of two wind algorithms of ENVISAT ASAR at high wind

OriginalPaper | Updated：2023-05-16

- Comparison of two wind algorithms of ENVISAT ASAR at high wind
- Comparison of two wind algorithms of ENVISAT ASAR at high wind
- 海洋湖沼学报（英文） 2006年24卷第1期页码：92-96
- Affiliations：
  
  1. Institute of Oceanology Chinese Academy of Sciences
  2. Graduate School of Chinese Academy of Sciences
- Author bio：
- Funds：
  
  Supported by the High-Tech Research and Development Program of China (863 Program, No. 2001AA633070;2003AA604040), and the National Natural Science Foundation of China (No. 40476015).
- DOI：10.1007/BF02842781
  中图分类号：
- 纸质出版：2006
- Accepted：
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Comparison of two wind algorithms of ENVISAT ASAR at high wind[J]. 海洋湖沼学报（英文）, 2006,24(1):92-96.

Guiting, S., Yijun, H. & Yijun, H. Comparison of two wind algorithms of ENVISAT ASAR at high wind., Chin. J. Ocean. Limnol. 24, 92–96 (2006). https://doi.org/10.1007/BF02842781
Comparison of two wind algorithms of ENVISAT ASAR at high wind[J]. 海洋湖沼学报（英文）, 2006,24(1):92-96. DOI： 10.1007/BF02842781.

Guiting, S., Yijun, H. & Yijun, H. Comparison of two wind algorithms of ENVISAT ASAR at high wind., Chin. J. Ocean. Limnol. 24, 92–96 (2006). https://doi.org/10.1007/BF02842781 DOI：

摘要

Abstract

Two wind algorithms of ENVISAT advanced synthetic aperture radar (ASAR)

i. e. CMOD4 model from the European Space Agency (ESA) and CMOD_IFR2 model from Quilfen et al.

are compared in this paper. The wind direction is estimated from orientation of low and linear signatures in the ASAR imagery. The wind direction has inherently a 1801 ambiguity since only a single ASAR image is used. The 1801 ambiguity is eliminated by using the buoy data from the NOAA (National Oceanic and Atmospheric Administration) buoys moored in the Pacific. Wind speed is obtained with the two wind algorithms using both estimated wind direction and normalized radar cross section (NRCS). The retrieved wind results agree well with the data from Quikscat. The root mean square error (RMSE) of wind direction is 2.801. The RMSEs of wind speed from CMOD4 model and CMOD_IFR2 model are 1.09 m/s and 0.60 m/s respectively. The results indicate that the CMOD_IFR2 model is slight better than CMOD4 model at high wind.

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references

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