Remote Sensing System Flow Curvature Correction for Complex Terrain
Study validates the use of WindSim flow corrections to improve the accuracy and uncertainty of your Triton data in complex terrain
Flow curvature bias is one of the leading concerns in using remote sensing for wind resource assessment in complex terrain. Vaisala and WindSim, a leading provider of Computational Fluid Dynamic (CFD) modeling services, have developed a method that mitigates the effects of complex terrain on wind measurements collected by remote sensing units. Users of the Triton Wind Profiler can now take advantage of this method to make their wind data better.
The methodology involves using WindSim-configured CFD simulations to calculate directional correction factors, and applying these factors to Triton data. An unprecedented global collocation study validated the methodology and showed that the correction reduced the mean wind-speed difference between Tritons and nearby met towers and also reduced the standard deviation between sites.
"The accuracy of remote sensing data has widely been recognized as on a par with that of met towers in all aspects - except when it comes to operating in complex terrain. The use of CFD simulations to adjust Triton data removes this concern, levelling the playing field in terms of data quality, and allowing developers to take full advantage of the Triton’s versatility."
—Dr. Arne Gravdahl, WindSim founder and CTO