Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 10, issue 8
Articles | Volume 10, issue 8
https://doi.org/10.5194/amt-10-2881-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-2881-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 8
Research article
 | 
14 Aug 2017
Research article |  | 14 Aug 2017

Three-dimensional structure of wind turbine wakes as measured by scanning lidar

Nicola Bodini, Dino Zardi, and Julie K. Lundquist

Viewed

Total article views: 5,554 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,501 1,867 186 5,554 260 200 208
  • HTML: 3,501
  • PDF: 1,867
  • XML: 186
  • Total: 5,554
  • Supplement: 260
  • BibTeX: 200
  • EndNote: 208
Views and downloads (calculated since 10 Apr 2017)
Cumulative views and downloads (calculated since 10 Apr 2017)

Viewed (geographical distribution)

Total article views: 5,554 (including HTML, PDF, and XML) Thereof 5,413 with geography defined and 141 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 2025
Download
Short summary
Wind turbine wakes have considerable impacts on downwind turbines in wind farms, given their slower wind speeds and increased turbulence. Based on lidar measurements, we apply a quantitative algorithm to assess wake parameters for wakes from a row of four turbines in CWEX-13 campaign. We describe how wake characteristics evolve, and for the first time we quantify the relation between wind veer and a stretching of the wake structures, and we highlight different results for inner and outer wakes.
Read more
Share