The Research on Ocean Surface Wind Speed Retrieval by Neural Network Algorithm for HY2 Altimeter
نویسندگان
چکیده
The neural network algorithm in this paper is applied to the ocean surface wind speed retrievals. Firstly, the Ku band backscattering coefficient (σKu) is considered as the input parameter to retrieve the wind speed and the retrieval precision reaches 1 m/s (root mean square error) for HY2 altimeter. Secondly, by introducing the Ku-band significant wave height (swhku), C-band backscattering coefficients (σC) and C-band swh (swhC) as input parameters to inverse wind speed, the retrieved results show that the multi-parameter algorithm introduced in the neural network can effectively improve the wind speed retrieval accuracy. The wind speed is not only relative to σKu, but also to σC, swhku and swhC. The neural networks algorithm is available for HY2 altimeter wind speed retrieval.
منابع مشابه
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