Articles | Volume 14, issue 1
https://doi.org/10.5194/amt-14-173-2021
https://doi.org/10.5194/amt-14-173-2021
Research article
 | 
11 Jan 2021
Research article |  | 11 Jan 2021

An approach to minimize aircraft motion bias in multi-hole probe wind measurements made by small unmanned aerial systems

Loiy Al-Ghussain and Sean C. C. Bailey

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Axford, D. N.: On the Accuracy of Wind Measurements Using an Inertial Platform in an Aircraft, and an Example of a Measurement of the Vertical Mesostructure of the Atmosphere, J. Appl. Meteorol., 7, 645–666, https://doi.org/10.1175/1520-0450(1968)007<0645:OTAOWM>2.0.CO;2, 1968. a
Bailey, S. C. C., Canter, C. A., Sama, M. P., Houston, A. L., and Smith, S. W.: Unmanned aerial vehicles reveal the impact of a total solar eclipse on the atmospheric surface layer, P. Roy. Soc. A-Math Phy., 475, 20190212, https://doi.org/10.1098/rspa.2019.0212, 2019. a, b, c
Bailey, S. C. C., Smith, S. W., and Sama, M. P.: University of Kentucky files from LAPSE-RATE, Data set, Zenodo, https://doi.org/10.5281/zenodo.3701845, 2020. a
Balsley, B. B., Lawrence, D. A., Woodman, R. F., and Fritts, D. C.: Fine-scale characteristics of temperature, wind, and turbulence in the lower atmosphere (0–1,300 m) over the south Peruvian coast, Bound.-Lay. Meteorol., 147, 165–178, 2013. a, b
Barbieri, L., Kral, S. T., Bailey, S. C. C., Frazier, A. E., Jacob, J. D., Reuder, J., Brus, D., Chilson, P. B., Crick, C., Detweiler, C., Doddi, A., Elston, J., Foroutan, H., González-Rocha, J., Greene, B. R., Guzman, M. I., Houston, A. L., Islam, A., Kemppinen, O., Lawrence, D., Pillar-Little, E. A., Ross, S. D., Sama, M. P., Schmale, D. G., Schuyler, T. J., Shankar, A., Smith, S. W., Waugh, S., Dixon, C., Borenstein, S., and de Boer, G.: Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science during the LAPSE-RATE Campaign, Sensors, 19, 2179, https://doi.org/10.3390/s19092179, 2019. a, b, c
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Short summary
Unmanned aerial vehicles equipped with multi-hole probes are an effective approach to measure the wind vector with high spatial and temporal resolution. However, the aircraft motion must be removed from the measured signal first, a process often introducing bias due to small errors in the relative orientation of coordinates. We present an approach that has successfully been applied in post-processing, which was found to minimize the influence of aircraft motion on wind measurements.