Article: Wang, H.; Barthelmie, R. J.; Doubrawa, P.; Pryor, S. C.; “Errors in Radial Velocity Variance from Doppler Wind Lidar”, Atmospheric Measurement Techniques, 9(8):4123-4139
Abstract: A high-fidelity lidar turbulence measurement technique relies on accurate estimates of radial velocity variance that are subject to both systematic and random errors determined by the autocorrelation function of radial velocity, the sampling rate, and the sampling duration. Using both statistically simulated and observed data, this paper quantifies the effect of the volumetric averaging in lidar radial velocity measurements on the autocorrelation function and the dependence of the systematic and random errors on the sampling duration. For current-generation scanning lidars and sampling durations of about 30 min and longer, during which the stationarity assumption is valid for atmospheric flows, the systematic error is negligible but the random error exceeds about 10 %.
Funding Acknowledgement: US National Science Foundation [1464383, 1540393]; US Department of Energy [DE-EE0005379]
Funding Text: This work was funded by the US National Science Foundation (award no. 1464383 and 1540393) and the US Department of Energy (award no. DE-EE0005379).