Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 3
Articles | Volume 11, issue 3
https://doi.org/10.5194/wes-11-825-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-825-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 3
Research article
 | 
17 Mar 2026
Research article |  | 17 Mar 2026

Dual-lidar profilers for measuring atmospheric turbulence

Maxime Thiébaut and Neil Luxcey

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Experimental evaluation of the motion-induced effects on turbulent fluctuations measurement on floating lidar systems
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Revised manuscript not accepted
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Cited articles

Bodini, N., Lundquist, J. K., and Newsom, R. K.: Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign, Atmos. Meas. Tech., 11, 4291–4308, https://doi.org/10.5194/amt-11-4291-2018, 2018. a
Browning, K. A. and Wexler, R.: The determination of kinematic properties of a wind field using Doppler radar, J. Appl. Meteorol. Clim., 7, 105–113, https://doi.org/10.1175/1520-0450(1968)007<0105:tdokpo>2.0.co;2, 1968. a
Brugger, P., Träumner, K., and Jung, C.: Evaluation of a procedure to correct spatial averaging in turbulence statistics from a Doppler lidar by comparing time series with an ultrasonic anemometer, J. Atmos. Ocean. Tech., 33, 2135–2144, https://doi.org/10.1175/jtech-d-15-0136.1, 2016. a
Burchard, H., Craig, P. D., Gemmrich, J. R., van Haren, H., Mathieu, P.-P., Meier, H. M., Smith, W. A. M. N., Prandke, H., Rippeth, T. P., and Skyllingstad, E. D.: Observational and numerical modeling methods for quantifying coastal ocean turbulence and mixing, Prog. Oceanogr., 76, 399–442, https://doi.org/10.1016/j.pocean.2007.09.005, 2008. a
DNV: Lidar-measured turbulence intensity for wind turbines, Tech. Rep. DNV-RP-0661, https://www.dnv.com/energy/standards-guidelines/dnv-rp-0661-lidar-measured-turbulence-intensity-for-wind-turbines/ (last access: 16 March 2026), 2023. a, b
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This study tested a two-lidar system to measure wind variations more accurately than traditional single-lidar methods. By comparing 30 days of measurements with a reference instrument, we found that the new approach better captures turbulence and reduces errors in both along- and cross-wind directions. The results show that it can provide more reliable ground-based wind measurements, supporting improved weather monitoring and wind energy assessments.
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