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The sonic anemometer makes rapid measurements of air temperature and wind velocity which are then used to quantify atmospheric turbulence. Turbulence strength is estimated from the parameters of a curve fit to a structure function computed from the measured data. This procedure was carried out for both experimental and simulated data and the differences between the results obtained were examined. Averaging effects due to the measurement interval caused changes in both measured and simulated results mostly represented by an offset in the simple theoretical structure function. An additional offset was observed in the simulated results due to frequencies cut off by the simulation method. This study also examined the effect of the finite sample length on the computed power spectrum and structure function. This effect appears to be unimportant for the Kolmogorov power spectrum usually presumed here, but it is shown that non-Kolmogorov power spectra don’t necessarily produce accurate results even in simulation.
Conference Presentation
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Jack E. McCrae Jr., Santasri Bose-Pillai, Benjamin Wilson, Steven T. Fiorino, "Sonic anemometry with simulated and measured atmospheric turbulence," Proc. SPIE 12693, Unconventional Imaging, Sensing, and Adaptive Optics 2023, 126930O (3 October 2023); https://doi.org/10.1117/12.2677853