Retrieving wind statistics from average spectrum of continuous-wave lidar

Emmanuel Branlard, Anders Tegtmeier Pedersen, Jakob Mann, Nikolas Angelou, Andreas Fischer, Torben Mikkelsen, M. Harris, C. Slinger, B. F. Montes

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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.
Original languageEnglish
JournalAtmospheric Measurement Techniques
Pages (from-to)1673-1683
Publication statusPublished - 2013

Bibliographical note

© Author(s) 2013. This work is distributed under the Creative Commons Attribution 3.0 License.


  • Earth and Environmental Sciences


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