Articles | Volume 14, issue 3
Atmos. Meas. Tech., 14, 2065–2093, 2021
https://doi.org/10.5194/amt-14-2065-2021
Atmos. Meas. Tech., 14, 2065–2093, 2021
https://doi.org/10.5194/amt-14-2065-2021

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 1: Theoretical framework

Stefano Letizia et al.

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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: Reconsider after major revisions (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: Referee Nomination & Report Request started (22 Jan 2021) by Ulla Wandinger
RR by Anonymous Referee #2 (22 Jan 2021)
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
A LiDAR Statistical Barnes Objective Analysis (LiSBOA) for the optimal design of lidar scans and retrieval of velocity statistics is proposed. The LiSBOA is validated and characterized via a Monte Carlo approach applied to a synthetic velocity field. The optimal design of lidar scans is formulated as a two-cost-function optimization problem, including the minimization of the volume not sampled with adequate spatial resolution and the minimization of the error on the mean of the velocity field.