Researches on data quality control and turbulence detection performance of Doppler wind lidar

Aiming to obtain high precision wind profile and turbulence products and fully understand the application potential of wind lidar, quality control of Doppler wind lidar with five-beam swing (DBS5) mode was investigated in this work using radial velocity and signal-to-noise ratio (SNR). The three-dimensional wind and turbulence obtained by the DBS5 mode of wind lidar were systematically evaluated by a three-dimensional ultrasonic anemometer mounted on a tower. The results show that the wind lidar exhibits excellent observational accuracy, with root mean square errors (RMSEs) as low as 0.4m/s, 0.1m/s, 0.1m/s, 0.1m/s, and 0.5m2/s2 for horizontal wind speed (WS), vertical velocity (w), standard deviation of vertical velocity (), friction velocity (), and turbulent kinetic energy (TKE), respectively, at a height of 140m. Moreover, the impacts of time scale, elevation angle, and spatial scale on observational accuracy of wind lidar were investigated. The results indicate that variations in time scale have little effects on observational accuracy, while elevation angle may effect the accuracy of TKE. Additionally, the RMSEs of WS and TKE gradually increase with the increase of spatial scale, while the accuracy of w, , and remain relatively stable. Further investigation of profile of turbulence and vertical velocity under clear-sky conditions in Beijing indicates that the power spectra of vertical velocity is consistency with the classical -5/3 scaling law at different periods and heights, just that white noise appears in the high-frequency region, which intensifies with height, especially above the boundary layer. Finally, the vertical turbulence of low-level jets (LLJs) observed by Doppler wind lidar show that the turbulence is stronger below the jet height and weaker in and above the jet height.