Open AccessAtomic vapor filter revisited: a Cabannes scattering temperature/wind lidar at 770 nm
Author(s) -
C. Y. She,
David A. Krueger,
Zhaoai Yan,
Xiong Hu
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.413442
Subject(s) - lidar , materials science , raman scattering , optics , filter (signal processing) , laser , raman spectroscopy , aerosol , scattering , environmental science , remote sensing , physics , meteorology , computer science , computer vision , geology
Using an atomic/molecular vapor as an aerosol blocking filter for atmospheric temperature measurements with a Cabannes lidar is revisited. Different problems in previously used barium and iodine filters prevented them from delivering the 78 times signal advantage (8.8 times less uncertainty) over rotational Raman lidar. We conclude that, despite the sensitivity optimization in rotational Raman lidar, a proposed Cabannes lidar utilizing potassium vapor filters can have 6.1 times less temperature uncertainty. By tuning the laser frequency cyclically to above and below the potassium D 1 transition, the lidar system can measure temperature and wind simultaneously.