AbstractThe natural sound generated by an unmanned aerial vehicle is used in conjunction with tomography to remotely sense the virtual temperature and wind profiles of the atmosphere in a horizontal plane up to an altitude of 1,200m and over a baseline of 600m. Sound fields recorded onboard the aircraft and by an array of microphones on the ground are compared and converted to sound speed estimates for the ray paths intersecting the intervening medium. Tomographic inversion is then used to transform these sound speed values into two-dimensional profiles of virtual temperature and wind vector, which enables the atmosphere to be visualised and monitored over time. The wind vector and temperature estimates are compared to measurements taken by a co-located mid-range Doppler SODAR and sensors onboard the aircraft. Large eddy simulations of daytime atmospheric boundary layers and error models of the tomographic inversion and SODAR are also used to assess the magnitude and nature of anticipated differences. The simulations and field trials data both show similar levels of correspondence between the tomographically-derived and independently observed measurements.
Journal of Atmospheric and Oceanic Technology – American Meteorological Society
Published: Sep 12, 2017
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