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A new method to predict the wind direction from HF radar Doppler spectrum

Mao Yuan Guo Li-Xin Din Hui-Fen Liu Wei

A new method to predict the wind direction from HF radar Doppler spectrum

Mao Yuan, Guo Li-Xin, Din Hui-Fen, Liu Wei
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Publishing process
  • Received Date:  07 January 2011
  • Accepted Date:  11 May 2011
  • Published Online:  05 February 2012

A new method to predict the wind direction from HF radar Doppler spectrum

  • 1. School of Science, Xidian University, Xi’an 710071, China
Fund Project:  Project supported by the National Natural Science Foundation of China (Grant No.60971067), the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20100203110016), and the Fundamental Research Funds for the Central Universities.

Abstract: According to the relationship between the first-order Doppler of HF radar and the wind direction over the sea surface, a new method of predicting wind direction is proposed with considering the combination of neural network and the method of the beam sampling. Using the simulated data under different input and output parameters of neural network, the wind direction is predicted when the expansion factor is odd number, the combination of the neural network and the beam sampling is utilized to predict the wind direction when the expansion factor is even number, which can eliminate the fuzziness of the wind direction. The predicted result shows a good agreement with the simulated data. From the predicted results by the neural network and the beam sampling, it is find that the error of the wind direction is about 4-6 and the mean error of the expansion factor of the wind direction is 0.26, which provides a new idea and method of predicting the wind field over the sea surface.

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