Articles | Volume 11, issue 11
https://doi.org/10.5194/amt-11-6339-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-6339-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Nov 2018
Research article |
| 27 Nov 2018
| 27 Nov 2018
Comparison of methods to derive radial wind speed from a continuous-wave coherent lidar Doppler spectrum
DTU Wind Energy, Roskilde 4000, Denmark
Windar Photonics A/S, Taastrup 2630, Denmark
Jakob Mann
DTU Wind Energy, Roskilde 4000, Denmark
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Cited
25 citations as recorded by crossref.
- Characterizing wind gusts in complex terrain F. Letson et al. https://doi.org/10.5194/acp-19-3797-2019
- Turbulence statistics from three different nacelle lidars W. Fu et al. https://doi.org/10.5194/wes-7-831-2022
- Residual uncertainty in processed line-of-sight returns from nacelle-mounted lidar due to spectral artifacts K. Brown & T. Herges https://doi.org/10.1088/1742-6596/1618/3/032052
- Investigating Suppression of Cloud Return with a Novel Optical Configuration of a Doppler Lidar L. Jin et al. https://doi.org/10.3390/rs14153576
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo https://doi.org/10.5194/amt-14-1457-2021
- Harmonised boundary layer wind profile dataset from six ground-based Doppler wind lidars in a transect across Paris, France W. Morrison et al. https://doi.org/10.5194/essd-17-6507-2025
- Updates on the OpenFAST Lidar Simulator F. Guo et al. https://doi.org/10.1088/1742-6596/2265/4/042030
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. https://doi.org/10.5194/amt-17-2721-2024
- KSR-Huber: A Robust Method for Wind Vector Retrieval from Doppler Wind Lidar Observations Y. Zhao et al. https://doi.org/10.3390/rs18162698
- Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. https://doi.org/10.5194/wes-8-677-2023
- Lidar observations of turbulence for tall offshore wind turbines A. Patel et al. https://doi.org/10.1017/jfm.2025.11103
- The lidar probe volume averaging effect: A wind tunnel investigation in streamwise turbulence with continuous-wave lidar S. Uluocak et al. https://doi.org/10.1088/1742-6596/2767/4/042027
- Lidar estimation of rotor-effective wind speed – an experimental comparison D. Held & J. Mann https://doi.org/10.5194/wes-4-421-2019
- On the Attenuation of Turbulence Measurements from Scanning Lidars L. Pauscher et al. https://doi.org/10.1088/1742-6596/3224/2/022034
- Wind lidars reveal turbulence transport mechanism in the wake of a tree N. Angelou et al. https://doi.org/10.5194/acp-22-2255-2022
- Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. https://doi.org/10.5194/amt-16-6007-2023
- Wind sensing with drone-mounted wind lidars: proof of concept N. Vasiljević et al. https://doi.org/10.5194/amt-13-521-2020
- Research on impact of range resolutions on wind detection performance using virtual lidar J. Liu et al. https://doi.org/10.1364/OE.562053
- Source Location and Suppression of Phase Induced Intensity Noise in Fiber-Based Continuous-Wave Coherent Doppler Lidar Z. Tang et al. https://doi.org/10.1109/JPHOT.2021.3078769
- High-fidelity retrieval from instantaneous line-of-sight returns of nacelle-mounted lidar including supervised machine learning K. Brown & T. Herges https://doi.org/10.5194/amt-15-7211-2022
- On Wind Directions Estimated by Nacelle Lidar Under Different Reconstruction Methods F. Guo et al. https://doi.org/10.1002/we.70098
- A Motion-Correction Method for Turbulence Estimates from Floating Lidars A. Peña et al. https://doi.org/10.3390/rs14236065
- Modelling the spectral shape of continuous-wave lidar measurements in a turbulent wind tunnel M. van Dooren et al. https://doi.org/10.5194/amt-15-1355-2022
- Feedforward pitch control for a 15 MW wind turbine using a spinner-mounted single-beam lidar W. Fu et al. https://doi.org/10.5194/wes-8-1893-2023
- Impact of probe volume and peak detection methods on lidar rotor effective wind speed and turbulence intensity estimations F. Costa et al. https://doi.org/10.1088/1742-6596/2626/1/012020
25 citations as recorded by crossref.
- Characterizing wind gusts in complex terrain F. Letson et al. https://doi.org/10.5194/acp-19-3797-2019
- Turbulence statistics from three different nacelle lidars W. Fu et al. https://doi.org/10.5194/wes-7-831-2022
- Residual uncertainty in processed line-of-sight returns from nacelle-mounted lidar due to spectral artifacts K. Brown & T. Herges https://doi.org/10.1088/1742-6596/1618/3/032052
- Investigating Suppression of Cloud Return with a Novel Optical Configuration of a Doppler Lidar L. Jin et al. https://doi.org/10.3390/rs14153576
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo https://doi.org/10.5194/amt-14-1457-2021
- Harmonised boundary layer wind profile dataset from six ground-based Doppler wind lidars in a transect across Paris, France W. Morrison et al. https://doi.org/10.5194/essd-17-6507-2025
- Updates on the OpenFAST Lidar Simulator F. Guo et al. https://doi.org/10.1088/1742-6596/2265/4/042030
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. https://doi.org/10.5194/amt-17-2721-2024
- KSR-Huber: A Robust Method for Wind Vector Retrieval from Doppler Wind Lidar Observations Y. Zhao et al. https://doi.org/10.3390/rs18162698
- Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. https://doi.org/10.5194/wes-8-677-2023
- Lidar observations of turbulence for tall offshore wind turbines A. Patel et al. https://doi.org/10.1017/jfm.2025.11103
- The lidar probe volume averaging effect: A wind tunnel investigation in streamwise turbulence with continuous-wave lidar S. Uluocak et al. https://doi.org/10.1088/1742-6596/2767/4/042027
- Lidar estimation of rotor-effective wind speed – an experimental comparison D. Held & J. Mann https://doi.org/10.5194/wes-4-421-2019
- On the Attenuation of Turbulence Measurements from Scanning Lidars L. Pauscher et al. https://doi.org/10.1088/1742-6596/3224/2/022034
- Wind lidars reveal turbulence transport mechanism in the wake of a tree N. Angelou et al. https://doi.org/10.5194/acp-22-2255-2022
- Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. https://doi.org/10.5194/amt-16-6007-2023
- Wind sensing with drone-mounted wind lidars: proof of concept N. Vasiljević et al. https://doi.org/10.5194/amt-13-521-2020
- Research on impact of range resolutions on wind detection performance using virtual lidar J. Liu et al. https://doi.org/10.1364/OE.562053
- Source Location and Suppression of Phase Induced Intensity Noise in Fiber-Based Continuous-Wave Coherent Doppler Lidar Z. Tang et al. https://doi.org/10.1109/JPHOT.2021.3078769
- High-fidelity retrieval from instantaneous line-of-sight returns of nacelle-mounted lidar including supervised machine learning K. Brown & T. Herges https://doi.org/10.5194/amt-15-7211-2022
- On Wind Directions Estimated by Nacelle Lidar Under Different Reconstruction Methods F. Guo et al. https://doi.org/10.1002/we.70098
- A Motion-Correction Method for Turbulence Estimates from Floating Lidars A. Peña et al. https://doi.org/10.3390/rs14236065
- Modelling the spectral shape of continuous-wave lidar measurements in a turbulent wind tunnel M. van Dooren et al. https://doi.org/10.5194/amt-15-1355-2022
- Feedforward pitch control for a 15 MW wind turbine using a spinner-mounted single-beam lidar W. Fu et al. https://doi.org/10.5194/wes-8-1893-2023
- Impact of probe volume and peak detection methods on lidar rotor effective wind speed and turbulence intensity estimations F. Costa et al. https://doi.org/10.1088/1742-6596/2626/1/012020
Saved (final revised paper)
Latest update: 05 Sep 2026
Short summary
In this paper we study the effect of different methods to derive the radial wind speed from a lidar Doppler spectrum. Numerical simulations and experimental results both indicate that the median method has slight improvements over the centroid method in terms of turbulent attenuation and also showed the lowest root mean squared error. Thus, when the aim is to reduce the volume averaging effect and obtain time series with a high temporal resolution, we recommend using the median method.
In this paper we study the effect of different methods to derive the radial wind speed from a...
