Parameterization of the Inherent Averaging of Doppler Wind Lidars: A Mann Model Simulator Approach

This work presents a simulator approach to quantify and parametrize the inherent averaging error in wind turbulence measurements by Doppler Wind Lidars (DWL). The simulator replicates the instrumental setup of the IJmuiden campaign, which included an offshore meteorological mast with a DWL and an anemometer measuring wind at the same height as a reference (90 m a.s.l.). The Mann turbulence model was used to simulate wind turbulence boxes with a wide range of turbulence conditions, enabling the quantification of measurement errors as a function of the turbulence spectral characteristics via the Mann model parameters. The study found that only the Mann turbulence length scale (L<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">MM</inf>) affected the DWL measurement of turbulence. Additionally, the inherent averaging error for the IJmuiden setup was parameterized using an analytical function, significantly reducing the computational effort required to retrieve it.