Articles | Volume 9, issue 5
Atmos. Meas. Tech., 9, 1993–2013, 2016
https://doi.org/10.5194/amt-9-1993-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 9, 1993–2013, 2016
https://doi.org/10.5194/amt-9-1993-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
03 May 2016
Research article
| 03 May 2016
Evaluation of three lidar scanning strategies for turbulence measurements
Jennifer F. Newman et al.
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Cited
30 citations as recorded by crossref.
- Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the Perdigão 2017 experiment N. Wildmann et al. 10.1088/1742-6596/1037/5/052006
- Mean wind vector estimation using the velocity–azimuth display (VAD) method: an explicit algebraic solution G. Teschke & V. Lehmann 10.5194/amt-10-3265-2017
- Turbulence characterization from a forward-looking nacelle lidar A. Peña et al. 10.5194/wes-2-133-2017
- Dynamic Data Filtering of Long-Range Doppler LiDAR Wind Speed Measurements H. Beck & M. Kühn 10.3390/rs9060561
- Effect of Wind Transport of Turbulent Inhomogeneities on Estimation of the Turbulence Energy Dissipation Rate from Measurements by a Conically Scanning Coherent Doppler Lidar I. Smalikho & V. Banakh 10.3390/rs12172802
- Wind speed reconstruction from mono-static wind lidar eliminating the effect of turbulence P. Rosenbusch et al. 10.1063/5.0048810
- Exploring the Feasibility of Using Commercially Available Vertically Pointing Wind Profiling Lidars to Acquire Thunderstorm Wind Profiles W. Gunter 10.3389/fbuil.2019.00119
- Improvement of vertical velocity statistics measured by a Doppler lidar through comparison with sonic anemometer observations T. Bonin et al. 10.5194/amt-9-5833-2016
- Comparison of turbulence measurements by a CSAT3B sonic anemometer and a high-resolution bistatic Doppler lidar M. Mauder et al. 10.5194/amt-13-969-2020
- An error reduction algorithm to improve lidar turbulence estimates for wind energy J. Newman & A. Clifton 10.5194/wes-2-77-2017
- Detection of Range-Folded Returns in Doppler Lidar Observations T. Bonin & W. Alan Brewer 10.1109/LGRS.2017.2652360
- Estimating the Parameters of Wind Turbulence from Spectra of Radial Velocity Measured by a Pulsed Doppler Lidar V. Banakh et al. 10.3390/rs13112071
- A New Generation of Ground-Based Mobile Platforms for Active and Passive Profiling of the Boundary Layer T. Wagner et al. 10.1175/BAMS-D-17-0165.1
- An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain L. Pauscher et al. 10.3390/rs8090782
- Influence of regional nighttime atmospheric regimes on canopy turbulence and gradients at a closed and open forest in mountain-valley terrain S. Wharton et al. 10.1016/j.agrformet.2017.01.020
- Better turbulence spectra from velocity–azimuth display scanning wind lidar F. Kelberlau & J. Mann 10.5194/amt-12-1871-2019
- Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar F. Kelberlau & J. Mann 10.5194/wes-5-519-2020
- Evaluation of turbulence measurement techniques from a single Doppler lidar T. Bonin et al. 10.5194/amt-10-3021-2017
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 2: Applications to lidar measurements of wind turbine wakes S. Letizia et al. 10.5194/amt-14-2095-2021
- Comparison of Convective Boundary Layer Characteristics from Aircraft and Wind Lidar Observations B. Adler et al. 10.1175/JTECH-D-18-0118.1
- Quantification and Correction of Wave-Induced Turbulence Intensity Bias for a Floating LIDAR System T. Désert et al. 10.3390/rs13152973
- Nocturnal atmospheric conditions and their impact on air pollutant concentrations in the city of Stuttgart O. Kiseleva et al. 10.1002/met.2037
- Lidar Estimates of the Anisotropy of Wind Turbulence in a Stable Atmospheric Boundary Layer . Banakh & . Smalikho 10.3390/rs11182115
- Experimental investigation on power performance testing using nacelle lidar measurements over excavated terrain U. Tumenbayar et al. 10.1016/j.jweia.2021.104671
- Improving lidar turbulence estimates for wind energy J. Newman et al. 10.1088/1742-6596/753/7/072010
- Spatial and temporal variability of turbulence dissipation rate in complex terrain N. Bodini et al. 10.5194/acp-19-4367-2019
- Overview and Applications of the New York State Mesonet Profiler Network B. Shrestha et al. 10.1175/JAMC-D-21-0104.1
- Errors in radial velocity variance from Doppler wind lidar H. Wang et al. 10.5194/amt-9-4123-2016
- The spectral signature of wind turbine wake meandering: A wind tunnel and field-scale study M. Heisel et al. 10.1002/we.2189
- Testing and validation of multi‐lidar scanning strategies for wind energy applications J. Newman et al. 10.1002/we.1978
29 citations as recorded by crossref.
- Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the Perdigão 2017 experiment N. Wildmann et al. 10.1088/1742-6596/1037/5/052006
- Mean wind vector estimation using the velocity–azimuth display (VAD) method: an explicit algebraic solution G. Teschke & V. Lehmann 10.5194/amt-10-3265-2017
- Turbulence characterization from a forward-looking nacelle lidar A. Peña et al. 10.5194/wes-2-133-2017
- Dynamic Data Filtering of Long-Range Doppler LiDAR Wind Speed Measurements H. Beck & M. Kühn 10.3390/rs9060561
- Effect of Wind Transport of Turbulent Inhomogeneities on Estimation of the Turbulence Energy Dissipation Rate from Measurements by a Conically Scanning Coherent Doppler Lidar I. Smalikho & V. Banakh 10.3390/rs12172802
- Wind speed reconstruction from mono-static wind lidar eliminating the effect of turbulence P. Rosenbusch et al. 10.1063/5.0048810
- Exploring the Feasibility of Using Commercially Available Vertically Pointing Wind Profiling Lidars to Acquire Thunderstorm Wind Profiles W. Gunter 10.3389/fbuil.2019.00119
- Improvement of vertical velocity statistics measured by a Doppler lidar through comparison with sonic anemometer observations T. Bonin et al. 10.5194/amt-9-5833-2016
- Comparison of turbulence measurements by a CSAT3B sonic anemometer and a high-resolution bistatic Doppler lidar M. Mauder et al. 10.5194/amt-13-969-2020
- An error reduction algorithm to improve lidar turbulence estimates for wind energy J. Newman & A. Clifton 10.5194/wes-2-77-2017
- Detection of Range-Folded Returns in Doppler Lidar Observations T. Bonin & W. Alan Brewer 10.1109/LGRS.2017.2652360
- Estimating the Parameters of Wind Turbulence from Spectra of Radial Velocity Measured by a Pulsed Doppler Lidar V. Banakh et al. 10.3390/rs13112071
- A New Generation of Ground-Based Mobile Platforms for Active and Passive Profiling of the Boundary Layer T. Wagner et al. 10.1175/BAMS-D-17-0165.1
- An Inter-Comparison Study of Multi- and DBS Lidar Measurements in Complex Terrain L. Pauscher et al. 10.3390/rs8090782
- Influence of regional nighttime atmospheric regimes on canopy turbulence and gradients at a closed and open forest in mountain-valley terrain S. Wharton et al. 10.1016/j.agrformet.2017.01.020
- Better turbulence spectra from velocity–azimuth display scanning wind lidar F. Kelberlau & J. Mann 10.5194/amt-12-1871-2019
- Cross-contamination effect on turbulence spectra from Doppler beam swinging wind lidar F. Kelberlau & J. Mann 10.5194/wes-5-519-2020
- Evaluation of turbulence measurement techniques from a single Doppler lidar T. Bonin et al. 10.5194/amt-10-3021-2017
- LiSBOA (LiDAR Statistical Barnes Objective Analysis) for optimal design of lidar scans and retrieval of wind statistics – Part 2: Applications to lidar measurements of wind turbine wakes S. Letizia et al. 10.5194/amt-14-2095-2021
- Comparison of Convective Boundary Layer Characteristics from Aircraft and Wind Lidar Observations B. Adler et al. 10.1175/JTECH-D-18-0118.1
- Quantification and Correction of Wave-Induced Turbulence Intensity Bias for a Floating LIDAR System T. Désert et al. 10.3390/rs13152973
- Nocturnal atmospheric conditions and their impact on air pollutant concentrations in the city of Stuttgart O. Kiseleva et al. 10.1002/met.2037
- Lidar Estimates of the Anisotropy of Wind Turbulence in a Stable Atmospheric Boundary Layer . Banakh & . Smalikho 10.3390/rs11182115
- Experimental investigation on power performance testing using nacelle lidar measurements over excavated terrain U. Tumenbayar et al. 10.1016/j.jweia.2021.104671
- Improving lidar turbulence estimates for wind energy J. Newman et al. 10.1088/1742-6596/753/7/072010
- Spatial and temporal variability of turbulence dissipation rate in complex terrain N. Bodini et al. 10.5194/acp-19-4367-2019
- Overview and Applications of the New York State Mesonet Profiler Network B. Shrestha et al. 10.1175/JAMC-D-21-0104.1
- Errors in radial velocity variance from Doppler wind lidar H. Wang et al. 10.5194/amt-9-4123-2016
- The spectral signature of wind turbine wake meandering: A wind tunnel and field-scale study M. Heisel et al. 10.1002/we.2189
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 08 Feb 2023
Short summary
Remote sensing devices known as lidars are often used to take measurements at potential wind farm sites. These instruments are however not optimized for measuring turbulence, small-scale changes in wind speed. In this manuscript, the impact of lidar configurations and atmospheric conditions on turbulence accuracy is explored. A new method was developed to correct lidar turbulence measurements and is described in detail such that other lidar users can apply it to their own instruments.
Remote sensing devices known as lidars are often used to take measurements at potential wind...
