Articles | Volume 14, issue 3
Atmos. Meas. Tech., 14, 2095–2113, 2021
https://doi.org/10.5194/amt-14-2095-2021
Atmos. Meas. Tech., 14, 2095–2113, 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 et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Mario Ebel on behalf of the Authors (28 Nov 2020)  Author's response
ED: Referee Nomination & Report Request started (01 Dec 2020) by Ulla Wandinger
RR by Anonymous Referee #1 (08 Dec 2020)
RR by Anonymous Referee #2 (13 Dec 2020)
ED: Publish subject to minor revisions (review by editor) (14 Dec 2020) by Ulla Wandinger
AR by Valerio Iungo on behalf of the Authors (20 Jan 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (22 Jan 2021) by Ulla Wandinger
AR by Valerio Iungo on behalf of the Authors (27 Jan 2021)  Author's response    Manuscript
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.