Articles | Volume 10, issue 2
https://doi.org/10.5194/amt-10-431-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-431-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
06 Feb 2017
Research article |
| 06 Feb 2017
Vertical profiles of the 3-D wind velocity retrieved from multiple wind lidars performing triple range-height-indicator scans
Mithu Debnath
CORRESPONDING AUTHOR
Wind Fluids and Experiments (WindFluX) Laboratory, Mechanical Engineering Department, The University of Texas at Dallas, Richardson, TX, USA
G. Valerio Iungo
Wind Fluids and Experiments (WindFluX) Laboratory, Mechanical Engineering Department, The University of Texas at Dallas, Richardson, TX, USA
Ryan Ashton
Wind Fluids and Experiments (WindFluX) Laboratory, Mechanical Engineering Department, The University of Texas at Dallas, Richardson, TX, USA
W. Alan Brewer
National Oceanic and Atmospheric Administration, Earth Sciences Research Laboratory, Boulder, CO, USA
Aditya Choukulkar
National Oceanic and Atmospheric Administration, Earth Sciences Research Laboratory, Boulder, CO, USA
Ruben Delgado
Atmospheric Physics Department, University of Maryland Baltimore County, Baltimore, MD, USA
Julie K. Lundquist
National Renewable Energy Laboratory, Golden, CO, USA
Department of Atmospheric and Oceanic Sciences, University of Colorado at Boulder, Boulder, CO, USA
William J. Shaw
Pacific Northwest National Laboratory, Richland, WA, USA
James M. Wilczak
National Oceanic and Atmospheric Administration, Earth Sciences Research Laboratory, Boulder, CO, USA
Daniel Wolfe
Physical Sciences Division, National Oceanic and Atmospheric Administration, Boulder, CO, USA
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Cited
16 citations as recorded by crossref.
- High-Order Taylor Expansion for Wind Field Retrieval Based on Ground-Based Scanning Lidar H. Gao et al. 10.1109/TGRS.2022.3170990
- Effects of the thrust force induced by wind turbine rotors on the incoming wind field: A wind LiDAR experiment S. Letizia et al. 10.1088/1742-6596/2265/2/022033
- Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data S. El‐Asha et al. 10.1002/we.2123
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework S. Letizia et al. 10.5194/amt-14-2065-2021
- Vertical wind profiling with fiber-Mach-Zehnder-interferometer-based incoherent Doppler lidar L. Wang et al. 10.1016/j.optlaseng.2019.03.020
- Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment M. Debnath et al. 10.5194/amt-10-1215-2017
- The VERTEX field campaign: observations of near-ground effects of wind turbine wakes C. Archer et al. 10.1080/14685248.2019.1572161
- LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes L. Zhan et al. 10.1002/we.2430
- Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments N. Vasiljević et al. 10.5194/amt-10-3463-2017
- Wind turbine wake measurements with automatically adjusting scanning trajectories in a multi-Doppler lidar setup N. Wildmann et al. 10.5194/amt-11-3801-2018
- Quantification of the axial induction exerted by utility-scale wind turbines by coupling LiDAR measurements and RANS simulations G. Valerio Iungo et al. 10.1088/1742-6596/1037/7/072023
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo 10.5194/amt-14-1457-2021
- Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. 10.5194/amt-16-6007-2023
- A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect H. Sun et al. 10.1016/j.rser.2020.110042
- Identification of the energy contributions associated with wall-attached eddies and very-large-scale motions in the near-neutral atmospheric surface layer through wind LiDAR measurements M. Puccioni et al. 10.1017/jfm.2022.1080
- Assessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign J. Lundquist et al. 10.1175/BAMS-D-15-00151.1
15 citations as recorded by crossref.
- High-Order Taylor Expansion for Wind Field Retrieval Based on Ground-Based Scanning Lidar H. Gao et al. 10.1109/TGRS.2022.3170990
- Effects of the thrust force induced by wind turbine rotors on the incoming wind field: A wind LiDAR experiment S. Letizia et al. 10.1088/1742-6596/2265/2/022033
- Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data S. El‐Asha et al. 10.1002/we.2123
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 1: Theoretical framework S. Letizia et al. 10.5194/amt-14-2065-2021
- Vertical wind profiling with fiber-Mach-Zehnder-interferometer-based incoherent Doppler lidar L. Wang et al. 10.1016/j.optlaseng.2019.03.020
- Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment M. Debnath et al. 10.5194/amt-10-1215-2017
- The VERTEX field campaign: observations of near-ground effects of wind turbine wakes C. Archer et al. 10.1080/14685248.2019.1572161
- LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes L. Zhan et al. 10.1002/we.2430
- Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments N. Vasiljević et al. 10.5194/amt-10-3463-2017
- Wind turbine wake measurements with automatically adjusting scanning trajectories in a multi-Doppler lidar setup N. Wildmann et al. 10.5194/amt-11-3801-2018
- Quantification of the axial induction exerted by utility-scale wind turbines by coupling LiDAR measurements and RANS simulations G. Valerio Iungo et al. 10.1088/1742-6596/1037/7/072023
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo 10.5194/amt-14-1457-2021
- Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. 10.5194/amt-16-6007-2023
- A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect H. Sun et al. 10.1016/j.rser.2020.110042
- Identification of the energy contributions associated with wall-attached eddies and very-large-scale motions in the near-neutral atmospheric surface layer through wind LiDAR measurements M. Puccioni et al. 10.1017/jfm.2022.1080
Latest update: 14 Dec 2024
Short summary
Triple RHI scans were performed with three simultaneous scanning Doppler wind lidars and assessed with lidar profiler and sonic anemometer data. This test is part of the XPIA experiment. The scan strategy consists in two lidars performing co-planar RHI scans, while a third lidar measures the transversal velocity component. The results show that horizontal velocity and wind direction are measured with good accuracy, while the vertical velocity is typically measured with a significant error.
Triple RHI scans were performed with three simultaneous scanning Doppler wind lidars and...
