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Abstract
The wind profiles and its random error from the Doppler lidar measurements in the planetary boundary layer (PBL) are simulated numerically. The wind velocity retrievals are performed by minimizing the least-squares fit cost function, which is the difference between the modeled and observed radial wind velocity. The random error in wind profiles is studied using analysis of the Doppler shift of a non-Gaussian random signal. Numerical simulation is based on “e-l” model of atmospheric turbulence and one-dimensional model of the homogeneous PBL, which take into account diurnal variations of meteorological parameters and the turbulent structure of the PBL. In the paper the results of the numerical simulation of profiles of the wind components, its random errors, as well as potential temperature, TKE, TKE-rare are presented for the case when the atmospheric stratification varies significantly during daytime.