Articles | Volume 10, issue 2
https://doi.org/10.5194/amt-10-393-2017
© 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-10-393-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Feb 2017
Research article |
| 02 Feb 2017
Identification of tower-wake distortions using sonic anemometer and lidar measurements
Katherine McCaffrey
CORRESPONDING AUTHOR
Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, Colorado, USA
National Oceanic and Atmospheric Administration, Earth Systems Research Laboratory Physical Sciences Division, Boulder, Colorado, USA
Paul T. Quelet
Department of Atmospheric and Oceanic Sciences, University of Colorado at Boulder, Boulder, Colorado, USA
Aditya Choukulkar
Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, Colorado, USA
National Oceanic and Atmospheric Administration, Earth Systems Research Laboratory Chemical Sciences Division, Boulder, Colorado, USA
James M. Wilczak
National Oceanic and Atmospheric Administration, Earth Systems Research Laboratory Physical Sciences Division, Boulder, Colorado, USA
Daniel E. Wolfe
National Oceanic and Atmospheric Administration, Earth Systems Research Laboratory Physical Sciences Division, Boulder, Colorado, USA
Steven P. Oncley
National Center for Atmospheric Research, Boulder, Colorado, USA
W. Alan Brewer
National Oceanic and Atmospheric Administration, Earth Systems Research Laboratory Chemical Sciences Division, Boulder, Colorado, USA
Mithu Debnath
Department of Mechanical Engineering, University of Texas at Dallas, Dallas, Texas, USA
Ryan Ashton
Department of Mechanical Engineering, University of Texas at Dallas, Dallas, Texas, USA
G. Valerio Iungo
Department of Mechanical Engineering, University of Texas at Dallas, Dallas, Texas, USA
Julie K. Lundquist
Department of Atmospheric and Oceanic Sciences, University of Colorado at Boulder, Boulder, Colorado, USA
National Renewable Energy Laboratory, Golden, Colorado, USA
Viewed
Total article views: 2,946 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jul 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,876 | 971 | 99 | 2,946 | 134 | 128 |
- HTML: 1,876
- PDF: 971
- XML: 99
- Total: 2,946
- BibTeX: 134
- EndNote: 128
Total article views: 2,449 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 02 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,639 | 717 | 93 | 2,449 | 125 | 118 |
- HTML: 1,639
- PDF: 717
- XML: 93
- Total: 2,449
- BibTeX: 125
- EndNote: 118
Total article views: 497 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Jul 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 237 | 254 | 6 | 497 | 9 | 10 |
- HTML: 237
- PDF: 254
- XML: 6
- Total: 497
- BibTeX: 9
- EndNote: 10
Cited
25 citations as recorded by crossref.
- Multilevel Validation of Doppler Wind Lidar by the 325 m Meteorological Tower in the Planetary Boundary Layer of Beijing L. Dai et al. 10.3390/atmos11101051
- A method to assess the accuracy of sonic anemometer measurements A. Peña et al. 10.5194/amt-12-237-2019
- Spatial and temporal variability of turbulence dissipation rate in complex terrain N. Bodini et al. 10.5194/acp-19-4367-2019
- Extracting Hidden Features of an Atmospheric Turbulent Flow Through Implementing Discrete Wavelet Analysis on Sodar’s Signal M. Saberivahidaval et al. 10.1007/s13538-021-01039-7
- The Iowa Atmospheric Observatory: Revealing the Unique Boundary Layer Characteristics of a Wind Farm E. Takle et al. 10.1175/EI-D-17-0024.1
- The Second Wind Forecast Improvement Project (WFIP2): General Overview W. Shaw et al. 10.1175/BAMS-D-18-0036.1
- Evaluation of turbulence measurement techniques from a single Doppler lidar T. Bonin et al. 10.5194/amt-10-3021-2017
- On the output frequency measurement within cup anemometer calibrations A. Ramos-Cenzano et al. 10.1016/j.measurement.2019.01.015
- Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error D. Vassallo et al. 10.5194/wes-6-295-2021
- A comparison of vertical velocity variance measurements from wind profiling radars and sonic anemometers K. McCaffrey et al. 10.5194/amt-10-999-2017
- Østerild: A natural laboratory for atmospheric turbulence A. Peña 10.1063/1.5121486
- Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign N. Bodini et al. 10.5194/amt-11-4291-2018
- Improved observations of turbulence dissipation rates from wind profiling radars K. McCaffrey et al. 10.5194/amt-10-2595-2017
- Characterizing Thunderstorm Gust Fronts near Complex Terrain N. Luchetti et al. 10.1175/MWR-D-19-0316.1
- Validating precision estimates in horizontal wind measurements from a Doppler lidar R. Newsom et al. 10.5194/amt-10-1229-2017
- Tilted lidar profiling: Development and testing of a novel scanning strategy for inhomogeneous flows S. Letizia et al. 10.1063/5.0209729
- Turbulence Dissipation Rate in the Atmospheric Boundary Layer: Observations and WRF Mesoscale Modeling during the XPIA Field Campaign D. Muñoz-Esparza et al. 10.1175/MWR-D-17-0186.1
- 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
- Identification of Tower-Wake Distortion Using LIDAR Measurement M. Okorie & F. Inambao 10.1016/j.promfg.2019.06.012
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. 10.5194/amt-17-2721-2024
- Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign A. Choukulkar et al. 10.5194/amt-10-247-2017
- 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
- Spectral structure of 5 year time series of horizontal wind speed at the Boulder Atmospheric Observatory S. Kang & H. Won 10.1002/2016JD025289
- Vertical profiles of the 3-D wind velocity retrieved from multiple wind lidars performing triple range-height-indicator scans M. Debnath et al. 10.5194/amt-10-431-2017
- 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
20 citations as recorded by crossref.
- Multilevel Validation of Doppler Wind Lidar by the 325 m Meteorological Tower in the Planetary Boundary Layer of Beijing L. Dai et al. 10.3390/atmos11101051
- A method to assess the accuracy of sonic anemometer measurements A. Peña et al. 10.5194/amt-12-237-2019
- Spatial and temporal variability of turbulence dissipation rate in complex terrain N. Bodini et al. 10.5194/acp-19-4367-2019
- Extracting Hidden Features of an Atmospheric Turbulent Flow Through Implementing Discrete Wavelet Analysis on Sodar’s Signal M. Saberivahidaval et al. 10.1007/s13538-021-01039-7
- The Iowa Atmospheric Observatory: Revealing the Unique Boundary Layer Characteristics of a Wind Farm E. Takle et al. 10.1175/EI-D-17-0024.1
- The Second Wind Forecast Improvement Project (WFIP2): General Overview W. Shaw et al. 10.1175/BAMS-D-18-0036.1
- Evaluation of turbulence measurement techniques from a single Doppler lidar T. Bonin et al. 10.5194/amt-10-3021-2017
- On the output frequency measurement within cup anemometer calibrations A. Ramos-Cenzano et al. 10.1016/j.measurement.2019.01.015
- Utilizing physics-based input features within a machine learning model to predict wind speed forecasting error D. Vassallo et al. 10.5194/wes-6-295-2021
- A comparison of vertical velocity variance measurements from wind profiling radars and sonic anemometers K. McCaffrey et al. 10.5194/amt-10-999-2017
- Østerild: A natural laboratory for atmospheric turbulence A. Peña 10.1063/1.5121486
- Estimation of turbulence dissipation rate and its variability from sonic anemometer and wind Doppler lidar during the XPIA field campaign N. Bodini et al. 10.5194/amt-11-4291-2018
- Improved observations of turbulence dissipation rates from wind profiling radars K. McCaffrey et al. 10.5194/amt-10-2595-2017
- Characterizing Thunderstorm Gust Fronts near Complex Terrain N. Luchetti et al. 10.1175/MWR-D-19-0316.1
- Validating precision estimates in horizontal wind measurements from a Doppler lidar R. Newsom et al. 10.5194/amt-10-1229-2017
- Tilted lidar profiling: Development and testing of a novel scanning strategy for inhomogeneous flows S. Letizia et al. 10.1063/5.0209729
- Turbulence Dissipation Rate in the Atmospheric Boundary Layer: Observations and WRF Mesoscale Modeling during the XPIA Field Campaign D. Muñoz-Esparza et al. 10.1175/MWR-D-17-0186.1
- 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
- Identification of Tower-Wake Distortion Using LIDAR Measurement M. Okorie & F. Inambao 10.1016/j.promfg.2019.06.012
- Rotary-wing drone-induced flow – comparison of simulations with lidar measurements L. Jin et al. 10.5194/amt-17-2721-2024
5 citations as recorded by crossref.
- Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign A. Choukulkar et al. 10.5194/amt-10-247-2017
- 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
- Spectral structure of 5 year time series of horizontal wind speed at the Boulder Atmospheric Observatory S. Kang & H. Won 10.1002/2016JD025289
- Vertical profiles of the 3-D wind velocity retrieved from multiple wind lidars performing triple range-height-indicator scans M. Debnath et al. 10.5194/amt-10-431-2017
- 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
Discussed (final revised paper)
Latest update: 23 Nov 2024
Short summary
During the eXperimental Planetary boundary layer Instrumentation Assessment (XPIA) field campaign, the wake and flow distortion from a 300-meter meteorological tower was identified using pairs of sonic anemometers mounted on opposite sides of the tower, as well as profiling and scanning lidars. Wind speed deficits up to 50% and TKE increases of 2 orders of magnitude were observed at wind directions in the wake, along with wind direction differences (flow deflection) outside of the wake.
During the eXperimental Planetary boundary layer Instrumentation Assessment (XPIA) field...
