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
19 citations as recorded by crossref.
- Wind lidars reveal turbulence transport mechanism in the wake of a tree N. Angelou et al. 10.5194/acp-22-2255-2022
- Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. 10.5194/amt-16-6007-2023
- Characterizing wind gusts in complex terrain F. Letson et al. 10.5194/acp-19-3797-2019
- Turbulence statistics from three different nacelle lidars W. Fu et al. 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 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. 10.3390/rs14153576
- Wind sensing with drone-mounted wind lidars: proof of concept N. Vasiljević et al. 10.5194/amt-13-521-2020
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo 10.5194/amt-14-1457-2021
- Source Location and Suppression of Phase Induced Intensity Noise in Fiber-Based Continuous-Wave Coherent Doppler Lidar Z. Tang et al. 10.1109/JPHOT.2021.3078769
- Updates on the OpenFAST Lidar Simulator F. Guo et al. 10.1088/1742-6596/2265/4/042030
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. 10.5194/amt-17-2721-2024
- Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. 10.5194/wes-8-677-2023
- The lidar probe volume averaging effect: A wind tunnel investigation in streamwise turbulence with continuous-wave lidar S. Uluocak et al. 10.1088/1742-6596/2767/4/042027
- High-fidelity retrieval from instantaneous line-of-sight returns of nacelle-mounted lidar including supervised machine learning K. Brown & T. Herges 10.5194/amt-15-7211-2022
- Lidar estimation of rotor-effective wind speed – an experimental comparison D. Held & J. Mann 10.5194/wes-4-421-2019
- A Motion-Correction Method for Turbulence Estimates from Floating Lidars A. Peña et al. 10.3390/rs14236065
- Modelling the spectral shape of continuous-wave lidar measurements in a turbulent wind tunnel M. van Dooren et al. 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. 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. 10.1088/1742-6596/2626/1/012020
19 citations as recorded by crossref.
- Wind lidars reveal turbulence transport mechanism in the wake of a tree N. Angelou et al. 10.5194/acp-22-2255-2022
- Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. 10.5194/amt-16-6007-2023
- Characterizing wind gusts in complex terrain F. Letson et al. 10.5194/acp-19-3797-2019
- Turbulence statistics from three different nacelle lidars W. Fu et al. 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 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. 10.3390/rs14153576
- Wind sensing with drone-mounted wind lidars: proof of concept N. Vasiljević et al. 10.5194/amt-13-521-2020
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo 10.5194/amt-14-1457-2021
- Source Location and Suppression of Phase Induced Intensity Noise in Fiber-Based Continuous-Wave Coherent Doppler Lidar Z. Tang et al. 10.1109/JPHOT.2021.3078769
- Updates on the OpenFAST Lidar Simulator F. Guo et al. 10.1088/1742-6596/2265/4/042030
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. 10.5194/amt-17-2721-2024
- Dependence of turbulence estimations on nacelle lidar scanning strategies W. Fu et al. 10.5194/wes-8-677-2023
- The lidar probe volume averaging effect: A wind tunnel investigation in streamwise turbulence with continuous-wave lidar S. Uluocak et al. 10.1088/1742-6596/2767/4/042027
- High-fidelity retrieval from instantaneous line-of-sight returns of nacelle-mounted lidar including supervised machine learning K. Brown & T. Herges 10.5194/amt-15-7211-2022
- Lidar estimation of rotor-effective wind speed – an experimental comparison D. Held & J. Mann 10.5194/wes-4-421-2019
- A Motion-Correction Method for Turbulence Estimates from Floating Lidars A. Peña et al. 10.3390/rs14236065
- Modelling the spectral shape of continuous-wave lidar measurements in a turbulent wind tunnel M. van Dooren et al. 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. 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. 10.1088/1742-6596/2626/1/012020
Latest update: 17 Jul 2024
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...
