Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.668
IF3.668
IF 5-year value: 3.707
IF 5-year
3.707
CiteScore value: 6.3
CiteScore
6.3
SNIP value: 1.383
SNIP1.383
IPP value: 3.75
IPP3.75
SJR value: 1.525
SJR1.525
Scimago H <br class='widget-line-break'>index value: 77
Scimago H
index
77
h5-index value: 49
h5-index49
AMT | Articles | Volume 13, issue 2
Atmos. Meas. Tech., 13, 521–536, 2020
https://doi.org/10.5194/amt-13-521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 13, 521–536, 2020
https://doi.org/10.5194/amt-13-521-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 07 Feb 2020

Research article | 07 Feb 2020

Wind sensing with drone-mounted wind lidars: proof of concept

Nikola Vasiljević et al.

Related authors

Multi-lidar wind resource mapping in complex terrain
Robert Menke, Nikola Vasiljević, Johannes Wagner, Steven P. Oncley, and Jakob Mann
Wind Energ. Sci., 5, 1059–1073, https://doi.org/10.5194/wes-5-1059-2020,https://doi.org/10.5194/wes-5-1059-2020, 2020
Short summary
Uncertainty model for dual-Doppler retrievals of wind speed and wind direction
Nikola Vasiljević, Michael Courtney, and Anders Tegtmeier Pedersen
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-321,https://doi.org/10.5194/amt-2020-321, 2020
Preprint under review for AMT
Short summary
The Alaiz Experiment: untangling multi-scale stratified flows over complex terrain
Pedro Santos, Jakob Mann, Nikola Vasiljević, Elena Cantero, Javier Sanz Rodrigo, Fernando Borbón, Daniel Martínez-Villagrasa, Belén Martí, and Joan Cuxart
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2020-89,https://doi.org/10.5194/wes-2020-89, 2020
Preprint under review for WES
Short summary
Digitalization of scanning lidar measurement campaign planning
Nikola Vasiljević, Andrea Vignaroli, Andreas Bechmann, and Rozenn Wagner
Wind Energ. Sci., 5, 73–87, https://doi.org/10.5194/wes-5-73-2020,https://doi.org/10.5194/wes-5-73-2020, 2020
Short summary
Characterization of flow recirculation zones at the Perdigão site using multi-lidar measurements
Robert Menke, Nikola Vasiljević, Jakob Mann, and Julie K. Lundquist
Atmos. Chem. Phys., 19, 2713–2723, https://doi.org/10.5194/acp-19-2713-2019,https://doi.org/10.5194/acp-19-2713-2019, 2019
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Instruments and Platforms
Joint analysis of convective structure from the APR-2 precipitation radar and the DAWN Doppler wind lidar during the 2017 Convective Processes Experiment (CPEX)
F. Joseph Turk, Svetla Hristova-Veleva, Stephen L. Durden, Simone Tanelli, Ousmane Sy, G. David Emmitt, Steve Greco, and Sara Q. Zhang
Atmos. Meas. Tech., 13, 4521–4537, https://doi.org/10.5194/amt-13-4521-2020,https://doi.org/10.5194/amt-13-4521-2020, 2020
Short summary
First observations of the McMurdo–South Pole oblique ionospheric HF channel
Alex T. Chartier, Juha Vierinen, and Geonhwa Jee
Atmos. Meas. Tech., 13, 3023–3031, https://doi.org/10.5194/amt-13-3023-2020,https://doi.org/10.5194/amt-13-3023-2020, 2020
Short summary
Vertical wind profiling from the troposphere to the lower mesosphere based on high-resolution heterodyne near-infrared spectroradiometry
Alexander V. Rodin, Dmitry V. Churbanov, Sergei G. Zenevich, Artem Y. Klimchuk, Vladimir M. Semenov, Maxim V. Spiridonov, and Iskander S. Gazizov
Atmos. Meas. Tech., 13, 2299–2308, https://doi.org/10.5194/amt-13-2299-2020,https://doi.org/10.5194/amt-13-2299-2020, 2020
Short summary
Effect of OH emission on the temperature and wind measurements derived from limb-viewing observations of the 1.27 µm O2 dayglow
Kuijun Wu, Weiwei He, Yutao Feng, Yuanhui Xiong, and Faquan Li
Atmos. Meas. Tech., 13, 1817–1824, https://doi.org/10.5194/amt-13-1817-2020,https://doi.org/10.5194/amt-13-1817-2020, 2020
Short summary
Doppler lidar at Observatoire de Haute-Provence for wind profiling up to 75 km altitude: performance evaluation and observations
Sergey M. Khaykin, Alain Hauchecorne, Robin Wing, Philippe Keckhut, Sophie Godin-Beekmann, Jacques Porteneuve, Jean-Francois Mariscal, and Jerome Schmitt
Atmos. Meas. Tech., 13, 1501–1516, https://doi.org/10.5194/amt-13-1501-2020,https://doi.org/10.5194/amt-13-1501-2020, 2020
Short summary

Cited articles

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
Bingöl, F.: Complex Terrain and Wind Lidars, PhD thesis, available at: http://orbit.dtu.dk/files/5245709/ris-phd-52.pdf (last access: 28 January 2020), 2010. a
Borraccino, A., Courtney, M., and Wagner, R.: Generic Methodology for Field Calibration of Nacelle-Based Wind Lidars, Remote Sensing, 8, 907, https://doi.org/10.3390/rs8110907, 2016. a, b
Brosy, C., Krampf, K., Zeeman, M., Wolf, B., Junkermann, W., Schäfer, K., Emeis, S., and Kunstmann, H.: Simultaneous multicopter-based air sampling and sensing of meteorological variables, Atmos. Meas. Tech., 10, 2773–2784, https://doi.org/10.5194/amt-10-2773-2017, 2017. a, b, c, d
Browning, K. A. and Wexler, R.: The Determination of Kinematic Properties of a Wind Field Using Doppler Radar, J. Appl. Meteorol., 7, 105–113, https://doi.org/10.1175/1520-0450(1968)007<0105:TDOKPO>2.0.CO;2, 1968. a
Publications Copernicus
Download
Short summary
In this paper we present the preliminary results of the proof-of-concept (POC) stage of a drone-based wind lidar system development process. To test the POC drone–lidar system we hovered the drone next to mast-mounted sonic anemometers at the Risø test center. The preliminary results of the intercomparison between the measurements derived from the POC system and those of the sonic anemometers show good agreement.
In this paper we present the preliminary results of the proof-of-concept (POC) stage of a...
Citation