Wind velocity inversion algorithm for triple-channel Rayleigh Doppler wind lidars
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1.
Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China;
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2.
School of Space and Earth Science, University of Science and Technology of China, Hefei 230026, China
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Corresponding author:
XU Wen-jing, sds@ustc.edu.cn
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Received Date:
2010-09-15
Accepted Date:
2010-01-13
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Abstract
In order to get the more exact profile of horizontal wind speed,the wind field was measured with the first domestic Rayleigh Doppler wind lidar based on a triple Fabry-Perot etalon,a method was brought up to retrieve the laser frequency in which the location of the etalon was adjusted in time according to the real detected data.The errors caused by the jitter and drift of the laser can be effectively reduced by means of this wind inversion algorithm.In addition,improving the traditional method,a nonlinear iteration inversion method was proposed.After processing the same Monte-Carlo simulated data with both the methods,it was found that the nonlinear iteration inversion method had a better precision.The profile of horizontal wind speed from 10km to 40km was obtained after processing the Rayleigh Doppler wind lidar signal data by means of the nonlinear iteration inversion method.The results show that this inversion method is feasible,and can effectively improve the inversion precision.
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