Algorithm of Retrieving Boundary Layer Height Based on Raman Lidar Water Vapor Data

被引：0
|
作者：
Chu Y. [1 ,2 ]
Liu D. [1 ,2 ]
Wu D. [1 ,2 ]
Wang Y. [1 ,2 ]
机构：
[1] Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei
[2] University of Science and Technology of China, Hefei
来源：
Wang, Yingjian (wyj@aiofm.ac.cn) | 1600年 / Science Press卷 / 47期
关键词：
Atmospheric optics; Boundary layer height; Douglas-Peucker algorithm; Lidar; Raman; Water vapor;
D O I：
10.3788/CJL202047.1204009
中图分类号：
学科分类号：
摘要：
Vertical stratification of the atmospheric boundary layer can hinder or change the vertical and horizontal transmission of energy, momentum, moisture, and trace substances. Therefore, the boundary layer height is particularly important for atmospheric research. The continuous changes in boundary layer height throughout the day in time cannot be obtained based on the sounding data. Further, the aerosol content gradient at the top of the boundary layer is not obvious, so the boundary layer height cannot be accurately given. In this paper, based on the water vapor mixing ratio data of Raman lidar, the boundary layer height is inverted by the slope method and the Dougls-Peucker (DP) algorithm, and the results are compared with the sounding data. The results show that the two are in good agreement. © 2020, Chinese Lasers Press. All right reserved.
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