Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 1, 1(2023)

Inversion methods of slant turbulence parameters based on coherent Doppler lidar

CHEN Xiaomin1, ZHANG Hongwei1, SUN Kangwen1, and WU Songhua1,2、*
Author Affiliations
  • 1College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China,Qingdao 266100, China
  • 2Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory forMarine Science and Technology, Qingdao 266237, China
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    Atmospheric turbulence is widespread in the atmosphere, in which the slant turbulence has a significant impact on aerospace and military activities. On the one hand, the high spatial and temporal resolution wind field data obtained from the coherent Doppler lidar is used. On the other hand, according to the velocity structure function method based on Kolmogorov's local uniform homogeneous theory, i.e. the characteristics of turbulence in the inertial sub-region are only related to the turbulent eddy dissipation rate ε, the velocity structure function method is applied to the lidar glide-path scans mode for aircraft landing period. By fitting the measured data velocity structure function with the model velocity structure function least square, the atmospheric turbulence parameters (wind speed variance, turbulence integration scale and ε, etc) within the lidar swath are estimated. Furthermore, based on the spatial and temporal distribution characteristics of the data in the slant scanning area, the slant spatial distribution of the atmospheric turbulence parameters is presented and compared with the wind-shear intensity data obtained from the lidar glide-path scans mode developed by Ocean University of China. It is found that the two data are in good agreement, which validates the reliabiltiy of the proposed slant turbulence parameter retrieval method.

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    Xiaomin CHEN, Hongwei ZHANG, Kangwen SUN, Songhua WU. Inversion methods of slant turbulence parameters based on coherent Doppler lidar[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(1): 1

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    Paper Information

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    Received: Apr. 30, 2021

    Accepted: --

    Published Online: Apr. 17, 2023

    The Author Email: WU Songhua (wush@ouc.edu.cn)

    DOI:10.3969/j.issn.1673-6141.2023.01.001

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