Evaluation of atmospheric temperature uncertainty caused by platform attitude fluctuation
Paper
27 November 2023 Evaluation of atmospheric temperature uncertainty caused by platform attitude fluctuation
Xinqi Li, Kai Zhong, Xianzhong Zhang, Tong Wu, Yizhe Zheng, Jing Chi, Degang Xu, Jianquan Yao
Author Affiliations +
Abstract
The measurement uncertainty is an important parameter to evaluate the reliability of the Rayleigh lidar in detecting atmospheric temperature. This presentation aims to study the atmospheric temperature measurement uncertainty of a floating platform-mounted Rayleigh lidar. A model was established for altitude correction considering the platform attitude, and the temperature uncertainty originating from the fluctuation in rolling and pitching angles was evaluated using the Monte Carlo method (MCM). The results show that the atmospheric temperature uncertainty due to platform fluctuation is confined to 10-2 K when the detection altitude is up to 65 km.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xinqi Li, Kai Zhong, Xianzhong Zhang, Tong Wu, Yizhe Zheng, Jing Chi, Degang Xu, and Jianquan Yao "Evaluation of atmospheric temperature uncertainty caused by platform attitude fluctuation", Proc. SPIE 12769, Optical Metrology and Inspection for Industrial Applications X, 127690Y (27 November 2023); https://doi.org/10.1117/12.2687184
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KEYWORDS
Air temperature

LIDAR

Atmospheric sensing

Measurement uncertainty

Monte Carlo methods

Temperature metrology

Atmospheric modeling

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