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

Letizia, Stefano; Zhan, Lu; Iungo, Giacomo Valerio

doi:https://doi.org/10.5194/amt-14-2095-2021

Articles | Volume 14, issue 3

https://doi.org/10.5194/amt-14-2095-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-14-2095-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 3

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

Data sets

LiSBOA Stefano Letizia and Giacomo Valerio Iungo https://github.com/UTD-WindFluX/LiSBOA

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.