| Comparison of two wind algorithms of ENVISAT ASAR at high wind |
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| 作者姓名： | 宋贵霆 侯一筠 何宜军 |
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| 作者单位： | Institute of Oceanology，Institute of Oceanology，Institute of Oceanology Chinese Academy of Sciences，Qingdao 266071，China Graduate School of Chinese Academy of Sciences，Beijing 100049，China，Chinese Academy of Sciences，Qingdao 266071，China，Chinese Academy of Sciences，Qingdao 266071，China |
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| 基金项目： | Supported by the High-Tech Research and Developmenl Program of China (863 Program, No. 2001AA633070 2003AA604040)and the National Natural Science Foundation of China (No. 40476015). |
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| 摘 要： | 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 180° ambiguity since only a single ASAR image is used. The 180° 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 2.80? 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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| 关 键 词： | 海洋动力学 气候 风速 雷达 |
| 收稿时间： | 2005-05-05 |
| 修稿时间： | 2005-08-18 |
Comparison of two wind algorithms of ENVISAT ASAR at high wind |
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| Song Guiting,Hou Yijun,He Yijun.Comparison of two wind algorithms of ENVISAT ASAR at high wind[J].Chinese Journal of Oceanology and Limnology,2006,24(1):92-96. |
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| Authors: | Song Guiting Hou Yijun He Yijun |
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| Institution: | (1) Institute of Oceanology, Chinese Academy of Sciences, 266071 Qingdao, China;(2) Graduate School of Chinese Academy of Sciences, 100049 Beijing, China |
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| 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.
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). |
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| Keywords: | ENVISAT ASAR wind retrieval wind speed |
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