Articles | Volume 5, issue 2
https://doi.org/10.5194/wes-5-519-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-5-519-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar
NTNU, Department of Energy and Process Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway
DTU Wind Energy, Technical University of Denmark, 4000 Roskilde, Denmark
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Cited
16 citations as recorded by crossref.
- Numerical optimization of auxiliary biaxial receiver to detect blind zone of pulsed coherent wind lidar M. Zhao et al. 10.1364/OE.520026
- Turbulence statistics from three different nacelle lidars W. Fu et al. 10.5194/wes-7-831-2022
- Experimental Evaluation of the Motion-Induced Effects for Turbulent Fluctuations Measurement on Floating Lidar Systems M. Thiébaut et al. 10.3390/rs16081337
- On the lidar-turbulence paradox and possible countermeasures A. Peña et al. 10.5194/wes-10-83-2025
- Towards improved turbulence estimation with Doppler wind lidar velocity-azimuth display (VAD) scans N. Wildmann et al. 10.5194/amt-13-4141-2020
- Characterization of the offshore wind dynamics for wind energy production in the Gulf of Lion, Western Mediterranean Sea M. Thiébaut et al. 10.1016/j.weer.2024.100002
- Quantification and Correction of Wave-Induced Turbulence Intensity Bias for a Floating LIDAR System T. Désert et al. 10.3390/rs13152973
- Atmospheric visibility correlates with photon travel time delay from frequency modulated continuous-wave Doppler wind lidar M. Queißer et al. 10.1080/01431161.2023.2214273
- Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance E. Simley et al. 10.5194/wes-6-1427-2021
- 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
- Performance Evaluation of LIDAR and SODAR Wind Profilers on the Brazilian Equatorial Margin A. Torres Junior et al. 10.3390/su142114654
- Evaluating the enhanced sampling rate for turbulence measurement with a wind lidar profiler M. Thiébaut et al. 10.5194/wes-10-1869-2025
- Wind speed reconstruction from mono-static wind lidar eliminating the effect of turbulence P. Rosenbusch et al. 10.1063/5.0048810
- Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar F. Kelberlau & J. Mann 10.5194/wes-5-519-2020
- Taking the Motion out of Floating Lidar: Turbulence Intensity Estimates with a Continuous-Wave Wind Lidar F. Kelberlau et al. 10.3390/rs12050898
- Statistic and Coherence Response of Ship-based Lidar Observations to Motion Compensation C. Duscha et al. 10.1088/1742-6596/1669/1/012020
12 citations as recorded by crossref.
- Numerical optimization of auxiliary biaxial receiver to detect blind zone of pulsed coherent wind lidar M. Zhao et al. 10.1364/OE.520026
- Turbulence statistics from three different nacelle lidars W. Fu et al. 10.5194/wes-7-831-2022
- Experimental Evaluation of the Motion-Induced Effects for Turbulent Fluctuations Measurement on Floating Lidar Systems M. Thiébaut et al. 10.3390/rs16081337
- On the lidar-turbulence paradox and possible countermeasures A. Peña et al. 10.5194/wes-10-83-2025
- Towards improved turbulence estimation with Doppler wind lidar velocity-azimuth display (VAD) scans N. Wildmann et al. 10.5194/amt-13-4141-2020
- Characterization of the offshore wind dynamics for wind energy production in the Gulf of Lion, Western Mediterranean Sea M. Thiébaut et al. 10.1016/j.weer.2024.100002
- Quantification and Correction of Wave-Induced Turbulence Intensity Bias for a Floating LIDAR System T. Désert et al. 10.3390/rs13152973
- Atmospheric visibility correlates with photon travel time delay from frequency modulated continuous-wave Doppler wind lidar M. Queißer et al. 10.1080/01431161.2023.2214273
- Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance E. Simley et al. 10.5194/wes-6-1427-2021
- 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
- Performance Evaluation of LIDAR and SODAR Wind Profilers on the Brazilian Equatorial Margin A. Torres Junior et al. 10.3390/su142114654
- Evaluating the enhanced sampling rate for turbulence measurement with a wind lidar profiler M. Thiébaut et al. 10.5194/wes-10-1869-2025
4 citations as recorded by crossref.
- Wind speed reconstruction from mono-static wind lidar eliminating the effect of turbulence P. Rosenbusch et al. 10.1063/5.0048810
- Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar F. Kelberlau & J. Mann 10.5194/wes-5-519-2020
- Taking the Motion out of Floating Lidar: Turbulence Intensity Estimates with a Continuous-Wave Wind Lidar F. Kelberlau et al. 10.3390/rs12050898
- Statistic and Coherence Response of Ship-based Lidar Observations to Motion Compensation C. Duscha et al. 10.1088/1742-6596/1669/1/012020
Latest update: 01 Nov 2025
Short summary
Wind speeds can be measured remotely from the ground with lidars. Their estimates are accurate for mean speeds, but turbulence leads to measurement errors. We predict these errors using computer-generated data and compare lidar measurements with data from a meteorological mast. The comparison shows that deviations depend on wind direction, measurement height, and wind conditions. Our method to reduce the measurement error is successful when the wind is aligned with one of the lidar beams.
Wind speeds can be measured remotely from the ground with lidars. Their estimates are accurate...
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