Abstract

Atmospheric line-of-sight (LOS) wind measurement by means of incoherent Cabannes–Mie lidar with three frequency analyzers with nearly the same maximum transmission of $\sim 80\%$ that could be fielded at different wavelengths is analytically considered. These frequency analyzers are (a) a double-edge Fabry–Perot interferometer (FPI) at $1064\text{\hspace{0.17em} nm}$ (IR-FPI), (b) a double-edge Fabry–Perot interferometer at $\text{355 nm}$ (UV-FPI), and (c) an iodine vapor filter (IVF) at $\text{532 nm}$ with two different methods, using either one absorption edge, single edge (se-IVF), or both absorption edges, double edge (de-IVF). The effect of the backscattered aerosol mixing ratio, $R_b$, defined as the ratio of the aerosol volume backscatter coefficient to molecular volume backscatter coefficient, on LOS wind uncertainty is discussed. Assuming a known aerosol mixing ratio, $R_b$, and 100,000 photons owing to Cabannes scattering to the receiver, in shot-noise-limited detection without sky background, the LOS wind uncertainty of the UV-FPI in the aerosol-free air $\left(R_b=0\right)$, is lower by $\sim 16\%$ than that of de-IVF, which has the lowest uncertainty for $R_b$ between 0.02 and 0.08; for $R_b>0.08$, the IR-FPI yielded the lowest wind uncertainty. The wind uncertainty for se-IVF is always higher than that of de-IVF, but by less than a factor of 2 under all aerosol conditions, if the split between the reference and measurement channels is optimized. The design flexibility, which allows the desensitization of either aerosol or molecular scattering, exists only with the FPI system, leading to the common practice of using IR-FPI for the planetary boundary layer and using UV-FPI for higher altitudes. Without this design flexibility, there is little choice but to use a single wavelength IVF system at $532\text{\hspace{0.17em} nm}$ for all atmospheric altitudes.

© 2007 Optical Society of America

Direct-detection Doppler wind measurements with a Cabannes–Mie lidar: B. Impact of aerosol variation on iodine vapor filter methods

Chiao-Yao She, Jia Yue, Zhao-Ai Yan, Johnathan W. Hair, Jin-Jia Guo, Song-Hua Wu, and Zhi-Shen Liu
Appl. Opt. 46(20) 4444-4454 (2007)

Fabry-Perot interferometer based Mie Doppler lidar for low tropospheric wind observation

Haiyun Xia, Dongsong Sun, Yuanhong Yang, Fahua Shen, Jingjing Dong, and Takao Kobayashi
Appl. Opt. 46(29) 7120-7131 (2007)

Low-altitude atmospheric wind measurement from the combined Mie and Rayleigh backscattering by Doppler lidar with an iodine filter

Zhi-Shen Liu, Dong Wu, Jin-Tao Liu, Kai-Lin Zhang, Wei-Biao Chen, Xiao-Quan Song, Johnathan W. Hair, and Chiao-Yao She
Appl. Opt. 41(33) 7079-7086 (2002)

Iodine-filter-based mobile Doppler lidar to make continuous and full-azimuth-scanned wind measurements: data acquisition and analysis system, data retrieval methods, and error analysis

Zhangjun Wang, Zhishen Liu, Liping Liu, Songhua Wu, Bingyi Liu, Zhigang Li, and Xinzhao Chu
Appl. Opt. 49(36) 6960-6978 (2010)

High-spectral-resolution Mie Doppler lidar based on a two-stage Fabry–Perot etalon for tropospheric wind and aerosol accurate measurement

Fahua Shen, Jie Ji, Chenbo Xie, Zhao Wang, and Bangxin Wang
Appl. Opt. 58(9) 2216-2225 (2019)