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19 December 2022 Evaluation of atmospheric temperature measurement uncertainty of a Rayleigh scattering lidar by the GUM method
Xinqi Li, Kai Zhong, Xianzhong Zhang, Yijian Zhang, Yu Wang, Degang Xu, Jianquan Yao
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Proceedings Volume 12319, Optical Metrology and Inspection for Industrial Applications IX; 123190E (2022) https://doi.org/10.1117/12.2642115
Event: SPIE/COS Photonics Asia, 2022, Online Only
Abstract
The atmospheric temperature measurement uncertainty was evaluated by the Guide to the Expression of Uncertainty in Measurement (GUM) method. The lidar measurement model was introduced considering the design of actual lidar instruments and standard retrieval method. The detection noise and the auxiliary temperature uncertainty were considered as two main uncertainty sources. Based on the simulation data of Rayleigh scattering lidar operating at 532 nm with 2- hour integration period, it was calculated that two main uncertainty sources resulted temperature standard uncertainties of around 2 K and 5 K at 60 km, respectively, and the combined standard uncertainty was 6 K.
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Xinqi Li, Kai Zhong, Xianzhong Zhang, Yijian Zhang, Yu Wang, Degang Xu, and Jianquan Yao "Evaluation of atmospheric temperature measurement uncertainty of a Rayleigh scattering lidar by the GUM method", Proc. SPIE 12319, Optical Metrology and Inspection for Industrial Applications IX, 123190E (19 December 2022); https://doi.org/10.1117/12.2642115
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KEYWORDS
LIDAR
Atmospheric sensing
Atmospheric modeling
Temperature metrology
Measurement uncertainty
Rayleigh scattering
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