Articles | Volume 10, issue 1
https://doi.org/10.5194/amt-10-247-2017
© 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-10-247-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Jan 2017
Research article |
| 23 Jan 2017
Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign
Aditya Choukulkar
CORRESPONDING AUTHOR
Cooperative Institute for Research in Environmental Sciences, Boulder, CO, USA
Chemical Sciences Division, National Oceanic and Atmospheric Administration, Boulder, CO, USA
W. Alan Brewer
Chemical Sciences Division, National Oceanic and Atmospheric Administration, Boulder, CO, USA
Scott P. Sandberg
Chemical Sciences Division, National Oceanic and Atmospheric Administration, Boulder, CO, USA
Ann Weickmann
Cooperative Institute for Research in Environmental Sciences, Boulder, CO, USA
Chemical Sciences Division, National Oceanic and Atmospheric Administration, Boulder, CO, USA
Timothy A. Bonin
Cooperative Institute for Research in Environmental Sciences, Boulder, CO, USA
Chemical Sciences Division, National Oceanic and Atmospheric Administration, Boulder, CO, USA
R. Michael Hardesty
Cooperative Institute for Research in Environmental Sciences, Boulder, CO, USA
Chemical Sciences Division, National Oceanic and Atmospheric Administration, Boulder, CO, USA
Julie K. Lundquist
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, CO, USA
National Renewable Energy Laboratory, Golden, CO, USA
Ruben Delgado
Atmospheric Physics Department, University of Maryland Baltimore County, MD, USA
G. Valerio Iungo
Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX, USA
Ryan Ashton
Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX, USA
Mithu Debnath
Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX, USA
Laura Bianco
Cooperative Institute for Research in Environmental Sciences, Boulder, CO, USA
Physical Sciences Division, National Oceanic and Atmospheric Administration, Boulder, CO, USA
James M. Wilczak
Physical Sciences Division, National Oceanic and Atmospheric Administration, Boulder, CO, USA
Steven Oncley
National Center for Atmospheric Research, 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.
- 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
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo 10.5194/amt-14-1457-2021
- 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
- Observations of Stably Stratified Flow through a Microscale Gap D. Vassallo et al. 10.1175/JAS-D-20-0087.1
- A New Research Approach for Observing and Characterizing Land–Atmosphere Feedback V. Wulfmeyer et al. 10.1175/BAMS-D-17-0009.1
- 100 Years of Progress in Atmospheric Observing Systems J. Stith et al. 10.1175/AMSMONOGRAPHS-D-18-0006.1
- The Second Wind Forecast Improvement Project (WFIP2): General Overview W. Shaw et al. 10.1175/BAMS-D-18-0036.1
- Analysis of flow in complex terrain using multi-Doppler lidar retrievals T. Bell et al. 10.5194/amt-13-1357-2020
- Low-Level Wind Shear Identification along the Glide Path at BCIA by the Pulsed Coherent Doppler Lidar H. Zhang et al. 10.3390/atmos12010050
- 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
- Evaluating modelled winds over an urban area using ground‐based Doppler lidar observations M. Filioglou et al. 10.1002/met.2052
- Urban Atmospheric Boundary-Layer Structure in Complex Topography: An Empirical 3D Case Study for Stuttgart, Germany M. Zeeman et al. 10.3389/feart.2022.840112
- Ensemble-Averaging Resolves Rapid Atmospheric Response to the 2017 Total Solar Eclipse C. Higgins et al. 10.3389/feart.2019.00198
- Simultaneous Observations of Surface Layer Profiles of Humidity, Temperature, and Wind Using Scanning Lidar Instruments F. Späth et al. 10.1029/2021JD035697
- The VERTEX field campaign: observations of near-ground effects of wind turbine wakes C. Archer et al. 10.1080/14685248.2019.1572161
- Large eddy simulation with realistic geophysical inflow of Alpha Ventus wind farm: a comparison with LIDAR field experiments T. Chatterjee et al. 10.1088/1742-6596/1037/7/072056
16 citations as recorded by crossref.
- 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
- Spectral correction of turbulent energy damping on wind lidar measurements due to spatial averaging M. Puccioni & G. Iungo 10.5194/amt-14-1457-2021
- 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
- Observations of Stably Stratified Flow through a Microscale Gap D. Vassallo et al. 10.1175/JAS-D-20-0087.1
- A New Research Approach for Observing and Characterizing Land–Atmosphere Feedback V. Wulfmeyer et al. 10.1175/BAMS-D-17-0009.1
- 100 Years of Progress in Atmospheric Observing Systems J. Stith et al. 10.1175/AMSMONOGRAPHS-D-18-0006.1
- The Second Wind Forecast Improvement Project (WFIP2): General Overview W. Shaw et al. 10.1175/BAMS-D-18-0036.1
- Analysis of flow in complex terrain using multi-Doppler lidar retrievals T. Bell et al. 10.5194/amt-13-1357-2020
- Low-Level Wind Shear Identification along the Glide Path at BCIA by the Pulsed Coherent Doppler Lidar H. Zhang et al. 10.3390/atmos12010050
- 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
- Evaluating modelled winds over an urban area using ground‐based Doppler lidar observations M. Filioglou et al. 10.1002/met.2052
- Urban Atmospheric Boundary-Layer Structure in Complex Topography: An Empirical 3D Case Study for Stuttgart, Germany M. Zeeman et al. 10.3389/feart.2022.840112
- Ensemble-Averaging Resolves Rapid Atmospheric Response to the 2017 Total Solar Eclipse C. Higgins et al. 10.3389/feart.2019.00198
- Simultaneous Observations of Surface Layer Profiles of Humidity, Temperature, and Wind Using Scanning Lidar Instruments F. Späth et al. 10.1029/2021JD035697
- The VERTEX field campaign: observations of near-ground effects of wind turbine wakes C. Archer et al. 10.1080/14685248.2019.1572161
- Large eddy simulation with realistic geophysical inflow of Alpha Ventus wind farm: a comparison with LIDAR field experiments T. Chatterjee et al. 10.1088/1742-6596/1037/7/072056
Latest update: 02 Jun 2023
Short summary
This paper discusses trade-offs among various wind measurement strategies using scanning Doppler lidars. It is found that the trade-off exists between being able to make highly precise point measurements versus covering large spatial extents. The highest measurement precision is achieved when multiple lidar systems make wind measurements at one point in space, while highest spatial coverage is achieved through using single lidar scanning measurements and using complex retrieval techniques.
This paper discusses trade-offs among various wind measurement strategies using scanning Doppler...
