Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

High Resolution Profiling the Turbulence in an Atmosphere Using UAVs Flight Logs

Version 1 : Received: 30 April 2023 / Approved: 1 May 2023 / Online: 1 May 2023 (11:31:32 CEST)

How to cite: Shelekhov, A.; Afanasiev, A.; Shelekhova, E.; Kobzev, A.; Tel’minov, A.; Molchunov, A.; Poplevina, O. High Resolution Profiling the Turbulence in an Atmosphere Using UAVs Flight Logs. Preprints 2023, 2023050029. https://doi.org/10.20944/preprints202305.0029.v1 Shelekhov, A.; Afanasiev, A.; Shelekhova, E.; Kobzev, A.; Tel’minov, A.; Molchunov, A.; Poplevina, O. High Resolution Profiling the Turbulence in an Atmosphere Using UAVs Flight Logs. Preprints 2023, 2023050029. https://doi.org/10.20944/preprints202305.0029.v1

Abstract

Capabilities of hovering unmanned aerial vehicles (UAVs) in low-altitude sensing of atmospheric turbulence with high spatial resolution are studied experimentally. The experiment was carried out at the Basic Experimental Observatory of the V.E. Zuev Institute of Atmospheric Optics SB RAS. UAV findings are compared with objective data on the state of the atmosphere that were measured by acoustic anemometers installed at weather towers at altitudes of 4, 10, and 27 m. Profiles of atmospheric turbulence were recorded with three UAVs hovering at the same heights at a distance of 5 m from the anemometers. The behavior of the longitudinal and lateral wind velocity components is studied in the frequency band 0-10 Hz before and after one-minute smoothing, which reveals long turbulent wind gusts. The discrepancy between the UAV and anemometer data is analyzed. It is found that after smoothing, the discrepancy does not exceed 0.5 m/s in 95% cases. This value meets the requirements of the World Meteorological Organization for some applications in wind velocity measurements. The spectral and correlation analysis of the UAV and anemometer measurements is carried out. The profiles of the longitudinal and lateral scales of turbulence are examined based on the UAV data and are found to be in agreement with the anemometer data to a good accuracy.

Keywords

profile; turbulence; wind velocity; UAV; anemometer; spectra; correlation; scales of turbulence

Subject

Environmental and Earth Sciences, Remote Sensing

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