Abstract

The strategy providing an estimation of both the mean velocity and the temporal and spatial spectra of radial velocity from data of the same pulse coherent Doppler lidar is proposed. Theoretical relations taking into account the averaging over the probing volume while estimating the spectra of fluctuations of the radial velocity measured by lidar are presented. The method of estimation of the turbulent energy dissipation rate and the variance of the vertical component of wind velocity vector from the spectra of radial velocity is carried out. The results of the comparative experiments are discussed and used in further studies of wind turbulence in the atmospheric boundary layer during the formation of low-level jets and propagation of internal gravity waves.

Highlights

  • Turbulence in the stably stratified atmosphere is a subject of study for many decades but still remains poorly understood despite numerous publications

  • At the stable stratification in the atmospheric boundary layer (ABL), low-level jets (LLJs) and internal gravity waves (IGWs) are formed, and turbulence is characterized by intermittence and not always obeys the Kolmogorov–Obukhov law

  • The method of azimuthal structure function (ASF) for estimating the turbulence energy dissipation rate ε and the variance σr2 = < Vr2 > − < Vr >2 of radial velocity Vr from pulsed coherent Doppler lidars (PCDLs) data obtained with conical scanning by a lidar probing beam around the vertical axis was proposed [14,18]

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Summary

Introduction

Turbulence in the stably stratified atmosphere is a subject of study for many decades but still remains poorly understood despite numerous publications. In [7], a method was proposed for estimating the kinetic energy dissipation rate from temporal spectra of the vertical component of wind velocity vector measured by a vertically pointing Doppler lidar. This method was applied to examine variations of the dissipation rate in the atmospheric boundary layer [15]. 2021, 13, 2071 to [7,15], to take into account averaging over the probing volume when estimating the spectra of the radial velocity measured by the lidar These relations are used to substantiate the method for estimation of the turbulence energy dissipation rate ε and the variance of the vertical component of wind velocity σw2 = σr from the spectra of the vertical wind velocity. Algorithm for calculating the relative error in estimating the dissipation rate from spectra of radial velocity is described in Appendix B

Measurement Strategy and Methodology to Estimate the Mean Wind Velocity
Estimation of Wind Turbulence Parameters
Testing the Method for Estimation of Wind Turbulence Parameters from Lidar
Method the Azimuthal
Height–temporal
Findings
Conclusions
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