Comparative Analysis and Optimal Selection of Calibration Functions in Pure Rotational Raman Lidar Technique

Comparative Analysis and Optimal Selection of Calibration Functions in Pure Rotational Raman Lidar Technique

The pure rotational Raman (PRR) lidar technique relies on calibration functions (CFs) to extract temperature information from raw detection data. The choice of CF significantly impacts the accuracy of the retrieved temperature. In this study, we propose a method that combines multiple Monte Carlo si...

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Bibliographic Details
Main Authors: Yinghong Yu, Siying Chen, Wangshu Tan, Rongzheng Cao, Yixuan Xie, He Chen, Pan Guo, Jie Yu, Rui Hu, Haokai Yang, Xin Li
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
pure rotational Raman temperature measurement technology
calibration function comparison
Monte Carlo method
least squares fitting
Online Access:https://www.mdpi.com/2072-4292/16/19/3690
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