Retrieving wind statistics from average spectrum of continuous-wave lidar

Branlard, E.; Pedersen, A. T.; Mann, J.; Angelou, N.; Fischer, A.; Mikkelsen, T.; Harris, M.; Slinger, C.; Montes, B. F.

The aim of this study is to experimentally demonstrate that the time-average Doppler spectrum of a continuous-wave (cw) lidar is proportional to the probability density function of the line-of-sight velocities. This would open the possibility of using cw lidars for the determination of the second-order atmospheric turbulence statistics. An atmospheric field campaign and a wind tunnel experiment are carried out to show that the use of an average Doppler spectrum instead of a time series of velocities determined from individual Doppler spectra significantly reduces the differences with the standard deviation measured using ordinary anemometers, such as ultra-sonic anemometers or hotwires. The proposed method essentially removes the spatial averaging effect intrinsic to the cw lidar systems.

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Branlard, E. / Pedersen, A. T. / Mann, J. / et al: Retrieving wind statistics from average spectrum of continuous-wave lidar. 2013. Copernicus Publications.

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