Articles | Volume 14, issue 5
Atmos. Meas. Tech., 14, 3795–3814, 2021
https://doi.org/10.5194/amt-14-3795-2021
Atmos. Meas. Tech., 14, 3795–3814, 2021
https://doi.org/10.5194/amt-14-3795-2021
Research article
26 May 2021
Research article | 26 May 2021

Distributed wind measurements with multiple quadrotor unmanned aerial vehicles in the atmospheric boundary layer

Tamino Wetz et al.

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Cited articles

Abichandani, P., Lobo, D., Ford, G., Bucci, D., and Kam, M.: Wind Measurement and Simulation Techniques in Multi-Rotor Small Unmanned Aerial Vehicles, IEEE Access, 8, 54910–54927, 2020. a
Barbieri, L., Kral, S., Bailey, S., Frazier, A., Jacob, J., Reuder, J., Brus, D., Chilson, P., Crick, C., Detweiler, C., Doddi, A., Elston, J., Foroutan, H., González-Rocha, J., Greene, B., Guzman, M., Houston, A., Islam, A., Kemppinen, O., Lawrence, D., Pillar-Little, E., Ross, S., Sama, M., Schmale, D., Schuyler, T., Shankar, A., Smith, S., 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
Bartholmai, M. and Neumann, P. P.: Adaptive ortsaufgelöste Gaskonzentrationsmessung mit einer Mikrodrohne, Tech. Mess., 78, 470–478, https://doi.org/10.1524/teme.2011.0158, 2011. a
Bell, T. M., Greene, B. R., Klein, P. M., Carney, M., and Chilson, P. B.: Confronting the boundary layer data gap: evaluating new and existing methodologies of probing the lower atmosphere, Atmos. Meas. Tech., 13, 3855–3872, https://doi.org/10.5194/amt-13-3855-2020, 2020. a
Beyrich, F. and Adam, W.: Site and Data Report for the Lindenberg Reference Site in CEOP – Phase I, Selbstverlag des Deutschen Wetterdienstes: Berichte des Deutschen Wetterdienstes, Offenbach a. M., Germany, 55 pp., 2007. a
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A fleet of quadrotors is presented as a system to measure the spatial distribution of atmospheric boundary layer flow. The big advantage of this approach is that multiple and flexible measurement points in space can be sampled synchronously. The algorithm to calculate the horizontal wind is based on the principle of aerodynamic drag and the related quadrotor dynamics. The validation reveals that an average accuracy of < 0.3 m s−1 for the wind speed and < 8° for the wind direction was achieved.