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A new ocean surface wind field retrieval method from C-band airborne synthetic aperture radar

Ai Wei-Hua Yan Wei Zhao Xian-Bin Liu Wen-Jun Ma Shuo

A new ocean surface wind field retrieval method from C-band airborne synthetic aperture radar

Ai Wei-Hua, Yan Wei, Zhao Xian-Bin, Liu Wen-Jun, Ma Shuo
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  • Abstract views:  998
  • PDF Downloads:  766
  • Cited By: 0
Publishing process
  • Received Date:  26 June 2012
  • Accepted Date:  14 November 2012
  • Published Online:  05 March 2013

A new ocean surface wind field retrieval method from C-band airborne synthetic aperture radar

  • 1. College of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;
  • 2. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China
Fund Project:  Project supported by the National Natural Science Foundation of China (Grant No. 41005018), the Foundation of Jiangsu Key Laboratory of Meteorological Observation and Information Processing, China (Grant No. KDXS1106), the PLA University of Science and Technology Foundation of China and the Institute of Meteorology and Oceanic of PLA University of Science and Technology Foundation of China.

Abstract: Wind direction retrieval depending on other background sources, e.g., the visible wind-induced streaks, numerical weather prediction model data, scatterometer data and buoy data is the key problem existing in the ocean wind field retrieval using airborne synthetic aperture radar (SAR) data based on geophysical model function which influences the wind speed and direction retrieval accuracies. To solve this problem, a new ocean wind field retrieval method is proposed, with which the wind speed and direction are estimated simultaneously through using the normalized radar cross sections corresponding to different incidence angles and geophysical model function according to the sounding characteristics of airborne SAR. To evaluate the ocean wind field retrieval errors and effects, the simulated data and C band airborne SAR data are used to obtain the wind speed and direction by the proposed method. The verification results show that the wind field retrieval method is suited to retrieve highly accurate wind speed and direction from airborne SAR sounding data without other background sources. The major error can be explained by the insufficient accuracy in calibration of the NRCS for wind speed and wind direction retrieval. The wind speed error increases with the value of speed increasing and at high wind speeds exceeding 18 m/s the error increases distinctly. The value of wind speed has no obvious influence on wind direction retrieval accuracy.

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