Abstract. Continuous-wave (cw) lidar systems offer the possibility to remotely sense wind
speed but are also affected by differences in their measurement process
compared to more traditional anemometry like cup or sonic anemometers. Their
large measurement volume leads to an attenuation of turbulence. In this paper
we study how different methods to derive the radial wind speed from a lidar
Doppler spectrum can mitigate turbulence attenuation. The centroid, median
and maximum methods are compared by estimating transfer functions and
calculating root mean squared errors (RMSEs) between a lidar and a sonic
anemometer. Numerical simulations and experimental results both indicate that
the median method performed best in terms of RMSE and also had slight
improvements over the centroid method in terms of volume averaging reduction.
The maximum, even though it uses the least amount of information from the
Doppler spectrum, performs best at mitigating the volume averaging effect.
However, this benefit comes at the cost of increased signal noise due to
discretisation of the maximum method. Thus, when the aim is to mitigate the
effect of turbulence attenuation and obtain wind speed time series with low
noise, from the results of this study we recommend using the median method.
If the goal is to measure average wind speeds, all three methods perform
equally well.