Journal of Atmospheric and Environmental Optics ›› 2021, Vol. 16 ›› Issue (5): 383-391.

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Observation of Turbulence Using Doppler Wind Lidar in Shenzhen

LIU Jiaxin1, YUN Long2, SHAO Shiyong3, CHENG Xueling4, SONG Xiaoquan1;5∗   

  1. 1 College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China; 2 Shenzhen Environmental Monitoring Center Station, Shenzhen 518049, China; 3 Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China; 4 State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 5 Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China
  • Received:2020-08-18 Revised:2021-08-19 Online:2021-09-28 Published:2021-09-28
  • Contact: Xiao-Quan SONG E-mail:E-mail: songxq@ouc.edu.cn

Abstract: Lidar can quickly realize non-invasive measurement of atmospheric wind field and obtain accurate wind vectors. In order to verify the feasibility of turbulence observation with lidar and obtain the turbulent characteristics, an observation experiment was carried out in Shenzhen, China, by using coherent Doppler lidar. According to the principle of Reynolds decomposition, wavelet decomposition is used to obtain the turbulent pulsating and analyze the turbulent motion characteristics. The results show that daily average turbulence intensity in Shenzhen presents a “single peak and single valley” structure, which is correlated with the temperature change during the observation. The vertical transportation caused by turbulent kinetic energy is mainly concentrated after 12:00 in the daytime and the correlation coefficient between turbulent kinetic energy and turbulent dissipation rate is 0.77. The turbulent power spectral density is basically consistent with Kolmogorov “-5/3” law in the inertial sub-range. The research results verify that the wind lidar can estimate the turbulence parameters accurately.

Key words: Doppler wind lidar, atmospheric turbulence, wavelet decomposition, turbulent kinetic energy

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