Articles | Volume 14, issue 3
https://doi.org/10.5194/amt-14-2065-2021
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, Lu Zhan, and Giacomo Valerio Iungo

Data sets

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

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.