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https://doi.org/10.5194/wes-2019-81
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2019-81
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
12 Nov 2019
| 12 Nov 2019
Status: this preprint was under review for the journal WES but the revision was not accepted.
Flying UltraSonic – A new way to measure the wind
Abstract. Measurements of flow conditions at complex sites that are difficult to install a met mast are expensive and can only be carried out with great effort. Concepts and new measuring methods are needed to evaluate these sites. This article presents an experiment in which an unmanned aerial vehicle (UAV), more precisely a helicopter, was equipped with a standard 3-D ultrasonic anemometer. This UAV was positioned closed to a meteorological measuring mast and remained stationary at a constant altitude to measure the wind speed components. The data of the UAV were compared with the measurements of an ultrasonic sensor installed on the met mast. The measurements shows a deviation of 0.1 m/s for the horizontal speed. A comparison of the PSDs shows a very good agreement.
How to cite. Hofsäß, M., Bergmann, D., Denzel, J., and Cheng, P. W.: Flying UltraSonic – A new way to measure the wind, Wind Energ. Sci. Discuss. [preprint], https://doi.org/10.5194/wes-2019-81, 2019.
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Review of wes-201981', Anonymous Referee #1, 13 Dec 2019
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RC2: 'Review', Anonymous Referee #2, 13 Dec 2019
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AC1: 'Replay to reviewers', Martin Hofsäß, 23 Jan 2020
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC1: 'Review of wes-201981', Anonymous Referee #1, 13 Dec 2019
-
RC2: 'Review', Anonymous Referee #2, 13 Dec 2019
-
AC1: 'Replay to reviewers', Martin Hofsäß, 23 Jan 2020
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Cited
4 citations as recorded by crossref.
- Experimental Characterization of Propeller-Induced Flow (PIF) below a Multi-Rotor UAV A. Flem et al. 10.3390/atmos15030242
- A review of plume dispersion and measurement techniques applicable to marine cloud brightening D. Hernandez-Jaramillo et al. 10.3389/fmars.2025.1450175
- SAMURAI-S: Sonic Anemometer on a MUlti-Rotor drone for Atmospheric turbulence Investigation in a Sling load configuration M. Ghirardelli et al. 10.5194/amt-18-2103-2025
- Research challenges and needs for the deployment of wind energy in hilly and mountainous regions A. Clifton et al. 10.5194/wes-7-2231-2022
Latest update: 19 Jul 2025
Martin Hofsäß
Stuttgart Wind Energy @ Insitute of Aircraft Design (SWE), University of Stuttgart, Allmandring 5b, 70569 Stuttgart Germany
Dominique Bergmann
Insitute of Aircraft Design (IFB), University of Stuttgart, Pfaffenwaldring 31, 70569 Stuttgart, Germany
Jan Denzel
Insitute of Aircraft Design (IFB), University of Stuttgart, Pfaffenwaldring 31, 70569 Stuttgart, Germany
Po Wen Cheng
Stuttgart Wind Energy @ Insitute of Aircraft Design (SWE), University of Stuttgart, Allmandring 5b, 70569 Stuttgart Germany
Short summary
We needed a way to measure wind vectors and turbulence in complex, hard-to-access terrain. We equipped a model helicopter with a standard 3-D ultrasonic anemometer. Due to the hovering capabilities, stationary point measurements are possible. The first measurements were made in flat terrain. A 100 m high stationary wind measuring mast served as reference. The results were investigated in the time domain as well as in the frequency domain.
We needed a way to measure wind vectors and turbulence in complex, hard-to-access terrain. We...
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