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Improvement of wind retrieval algorithm for Rayleigh Doppler lidar

Shen Fa-Hua Shu Zhi-Feng Sun Dong-Song Wang Zhong-Chun Xue Xiang-Hui Chen Ting-Di Dou Xian-Kang

Improvement of wind retrieval algorithm for Rayleigh Doppler lidar

Shen Fa-Hua, Shu Zhi-Feng, Sun Dong-Song, Wang Zhong-Chun, Xue Xiang-Hui, Chen Ting-Di, Dou Xian-Kang
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  • Received Date:  07 May 2011
  • Accepted Date:  13 June 2011
  • Published Online:  15 March 2012

Improvement of wind retrieval algorithm for Rayleigh Doppler lidar

  • 1. Department of Physics, Yancheng Teachers University, Yancheng 224002, China;
  • 2. Anhui Institute of Optics and Fine Mechanics, the Chinese Academy of Sciences, Hefei 230031, China;
  • 3. School of Space and Earth Science, University of Science and Technology of China, Hefei 230026, China
Fund Project:  Project supported by the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China (Grant No.10KJB170012).

Abstract: In the process of wind retrieval for Rayleigh Doppler lidar, besides atmospheric temperature and pressure, the accuracy of the wind retrieval result is also affected by Mie signal. When the Mie scattering sigal is large, especially in the cases such as high altitude clouds or volcanic ash and so on, the wind retrieval result will largely deviate from the ture value if the aerosol signal is ignored due to temperature uncertainty and Mie signal contamination. A nonlinear iterative algorithm is proposed, which can retrieve both wind and atmospheric temperature by using the mesured signal with outgoing laser pointing to the zenith. The initial operating point of laser is optimized. Simulation results show that the proposed algorithm can retrieve scattering ratio effectively, and by combination with the nonlinear iterative algorithm of wind retrieval, this algorithm can eliminate the effect of aerosol backscattering signal and then improve the atmopheric wind speed and the temperature retrieval accuracy effectively.

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