Floating lidar systems (FLS) are frequently used for measuring wind conditions in the pre construction phase of offshore wind power projects. They usually offer the most cost-effective method for acquiring high quality wind data. Stage-3 rated FLSs like the Fugro SEAWATCH Wind LiDAR Buoy (SWLB) have demonstrated a great track record of measuring primary wind data like mean wind speeds and directions accurately. Though, for estimates of second order statistics like turbulence intensity (TI) the evidence base is thin. It is known that the influence of lidar motion leads to overestimation of TI values from FLS compared to what fixed lidar systems would measure. Fugro has developed a motion compensation algorithm that effectively takes the motion out of floating lidar and hence solves the issue of motion-induced TI. This poster suggest and answer to the question of how to validate TI estimates from FLS.