Articles | Volume 14, issue 3
https://doi.org/10.5194/amt-14-2095-2021
https://doi.org/10.5194/amt-14-2095-2021
Research article
 | 
16 Mar 2021
Research article |  | 16 Mar 2021

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

Stefano Letizia, Lu Zhan, and Giacomo Valerio Iungo

Viewed

Total article views: 1,853 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,196 619 38 1,853 49 53
  • HTML: 1,196
  • PDF: 619
  • XML: 38
  • Total: 1,853
  • BibTeX: 49
  • EndNote: 53
Views and downloads (calculated since 31 Aug 2020)
Cumulative views and downloads (calculated since 31 Aug 2020)

Viewed (geographical distribution)

Total article views: 1,853 (including HTML, PDF, and XML) Thereof 1,715 with geography defined and 138 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Apr 2024
Short summary
The LiDAR Statistical Barnes Objective Analysis (LiSBOA) is applied to lidar data collected in the wake of wind turbines to reconstruct mean wind speed and turbulence intensity. Various lidar scans performed during a field campaign for a wind farm in complex terrain are analyzed. The results endorse the application of the LiSBOA for lidar-based wind resource assessment and farm diagnosis.