Preprints
https://doi.org/10.5194/amt-2023-184
https://doi.org/10.5194/amt-2023-184
12 Mar 2024
 | 12 Mar 2024
Status: this preprint is currently under review for the journal AMT.

Analysis of the measurement uncertainty for a 3D wind-LiDAR

Wolf Knöller, Gholamhossein Bagheri, Philipp von Olshausen, and Michael Wilczek

Abstract. High-resolution three-dimensional (3D) wind velocity measurements are of major importance for the characterization of atmospheric turbulence. The use of a multi-beam wind-LiDAR focusing on a measurement volume from different directions is a promising approach for obtaining such wind data. This paper provides a detailed study on the propagation of measurement uncertainty of a three-beam wind-LiDAR designed for mounting on airborne platforms with geometrical constraints that lead to increased measurement uncertainties of the wind components transverse to the main axis of the system. The uncertainty analysis is based on synthetic wind data generated by an Ornstein-Uhlenbeck process as well as on experimental wind data from airborne and ground-based 3D ultrasonic anemometers. For typical atmospheric conditions, we show that the measurement uncertainty of the transverse components can be reduced by about 30 %–50 % by applying an appropriate post-processing algorithm. Optimized post-processing parameters can be determined in an actual experiment by characterizing measured data in terms of variance and correlation time of wind fluctuations. These results allow an optimized design of a multi-beam wind-LiDAR with strong geometrical limitations.

Wolf Knöller, Gholamhossein Bagheri, Philipp von Olshausen, and Michael Wilczek

Status: open (until 16 Apr 2024)

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  • RC1: 'Comment on amt-2023-184', Anonymous Referee #1, 01 Apr 2024 reply
  • RC2: 'Comment on amt-2023-184', Anonymous Referee #3, 01 Apr 2024 reply
Wolf Knöller, Gholamhossein Bagheri, Philipp von Olshausen, and Michael Wilczek
Wolf Knöller, Gholamhossein Bagheri, Philipp von Olshausen, and Michael Wilczek

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Short summary
Three-dimensional (3D) wind velocity measurements are of major importance for the characterization of atmospheric turbulence. This paper presents a detailed study of the measurement uncertainty of a three-beam wind-LiDAR designed for mounting on airborne platforms. Considering the geometrical constraints, the analysis provides quantitative estimates for the measurement uncertainty of all components of the 3D wind vector. As a result, we propose an optimized post-processing for error reduction.