Articles | Volume 10, issue 3
https://doi.org/10.5194/amt-10-1215-2017
© 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-10-1215-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Mar 2017
Research article |
| 29 Mar 2017
Assessment of virtual towers performed with scanning wind lidars and Ka-band radars during the XPIA experiment
Mithu Debnath
Wind Fluids and Experiments (WindFluX) Laboratory, Mechanical Engineering Department, The University of Texas at Dallas, Richardson, TX, USA
Giacomo Valerio Iungo
CORRESPONDING AUTHOR
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
Scott Gunter
Department of Earth and Space Sciences, Columbus State University, Columbus, GA, 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
John L. Schroeder
Department of Geosciences, Texas Tech University, Lubbock, TX, 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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18 citations as recorded by crossref.
- Improving measurement technology for the design of sustainable cities E. Pardyjak & R. Stoll 10.1088/1361-6501/aa7c77
- The impact of supporting tower on wind turbine noise emission A. Zagubień & K. Wolniewicz 10.1016/j.apacoust.2019.05.032
- Spatiotemporal Dynamics of the Kinetic Energy in the Atmospheric Boundary Layer from Minisodar Measurements A. Potekaev et al. 10.3390/atmos12040421
- Near-Surface Wind Profiling in a Utility-Scale Onshore Wind Farm Using Scanning Doppler Lidar: Quality Control and Validation T. Ma et al. 10.3390/rs16060989
- 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
- Alignment calibration and correction for offshore wind measurements using scanning lidars K. Gramitzky et al. 10.1088/1742-6596/2767/4/042014
- Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
- The Second Wind Forecast Improvement Project (WFIP2): General Overview W. Shaw et al. 10.1175/BAMS-D-18-0036.1
- 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
- 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
- Analysis of flow in complex terrain using multi-Doppler lidar retrievals T. Bell et al. 10.5194/amt-13-1357-2020
- Improved Moments Estimation for Ground-Based K-Band Doppler Radar Using Cost Function Method Y. Li et al. 10.1109/ACCESS.2022.3159690
- Virtual tower measurements during the American WAKE ExperimeNt (AWAKEN) R. Newsom et al. 10.1063/5.0206844
- Inter-comparison study of wind measurement between the three-lidar-based virtual tower and four lidars using VAD techniques X. Liu et al. 10.1080/10095020.2024.2307930
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo 10.5194/amt-14-1457-2021
- 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
- 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
- Three-dimensional structure of wind turbine wakes as measured by scanning lidar N. Bodini et al. 10.5194/amt-10-2881-2017
18 citations as recorded by crossref.
- Improving measurement technology for the design of sustainable cities E. Pardyjak & R. Stoll 10.1088/1361-6501/aa7c77
- The impact of supporting tower on wind turbine noise emission A. Zagubień & K. Wolniewicz 10.1016/j.apacoust.2019.05.032
- Spatiotemporal Dynamics of the Kinetic Energy in the Atmospheric Boundary Layer from Minisodar Measurements A. Potekaev et al. 10.3390/atmos12040421
- Near-Surface Wind Profiling in a Utility-Scale Onshore Wind Farm Using Scanning Doppler Lidar: Quality Control and Validation T. Ma et al. 10.3390/rs16060989
- 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
- Alignment calibration and correction for offshore wind measurements using scanning lidars K. Gramitzky et al. 10.1088/1742-6596/2767/4/042014
- Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
- The Second Wind Forecast Improvement Project (WFIP2): General Overview W. Shaw et al. 10.1175/BAMS-D-18-0036.1
- 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
- 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
- Analysis of flow in complex terrain using multi-Doppler lidar retrievals T. Bell et al. 10.5194/amt-13-1357-2020
- Improved Moments Estimation for Ground-Based K-Band Doppler Radar Using Cost Function Method Y. Li et al. 10.1109/ACCESS.2022.3159690
- Virtual tower measurements during the American WAKE ExperimeNt (AWAKEN) R. Newsom et al. 10.1063/5.0206844
- Inter-comparison study of wind measurement between the three-lidar-based virtual tower and four lidars using VAD techniques X. Liu et al. 10.1080/10095020.2024.2307930
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo 10.5194/amt-14-1457-2021
- 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
- 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
- Three-dimensional structure of wind turbine wakes as measured by scanning lidar N. Bodini et al. 10.5194/amt-10-2881-2017
Latest update: 14 Dec 2024
Short summary
The XPIA experiment was conducted in 2015 at the Boulder Atmospheric Observatory to estimate capabilities of various remote-sensing techniques for the characterization of complex atmospheric flows. Among different tests, XPIA provided the unique opportunity to perform simultaneous virtual towers with Ka-band radars and scanning Doppler wind lidars. Wind speed and wind direction were assessed against lidar profilers and sonic anemometer data, highlighting a good accuracy of the data retrieved.
The XPIA experiment was conducted in 2015 at the Boulder Atmospheric Observatory to estimate...
