Isaac Scientific Publishing

Geosciences Research

The Research on Ocean Surface Wind Speed Retrieval by Neural Network Algorithm for HY2 Altimeter

Download PDF (412.2 KB) PP. 1 - 5 Pub. Date: February 10, 2017

DOI: 10.22606/gr.2017.21001

Author(s)

  • Jiasheng Tian*
    School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan city, Hubei Province , China
  • Hang Xue
    School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan city, Hubei Province , China
  • Jian Shi
    School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan city, Hubei Province , China

Abstract

The neural network algorithm in this paper is applied to the ocean surface wind speed retrievals. Firstly, the Ku band backscattering coefficient (σ0Ku) 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 (σ0C) 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 σ0Ku, but also to σ0C, swhku and swhC. The neural networks algorithm is available for HY2 altimeter wind speed retrieval.

Keywords

Neural network, wind speed retrieval, backscatter coefficient, multi-parameter algorithm.

References

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