Paper
15 October 2015 The observations of aerosol optical and microphysical properties by using a multi-wavelength lidar
Jiangfeng Shao, Jiandong Mao
Author Affiliations +
Proceedings Volume 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology; 96741H (2015) https://doi.org/10.1117/12.2199489
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
Abstract
In order to detect the atmospheric aerosol optical, micro-physical characteristics and the mixed layer height, an all time multi-wavelength lidar was developed at Beifang University of Nationalities and some observations were carried out over Yinchuan area. The geometric overlap factors are corrected. The data processing and inversion algorithms of multi-wavelength lidar were discussed. Also the Angstrom indexes and the mixed layer height under different weather were analyzed. In sunny weather the mixed layer height is significantly higher. However in fog weather the mixed layer height is lower than that of sunny weather. The Angstrom index is used to analyze the particle size distribution in different weather. In the lower troposphere the Angstrom index A1064/355 is biggest, the A1064/532 is middle and the A532/355 is smallest in sunny day. However in fog day, the A532/355 is biggest, the middle is A1064/532 and the smallest is A1064/355. Therefore compared with the sunny day the situation is contrast in the fog day. The results show that in sunny day the fine particles are dominant in the atmosphere and in fog day the coarse particles are the main in the atmosphere. The observation results are beneficial to analyze the spatial and temporal evolution of aerosol particles in Yinchuan area.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiangfeng Shao and Jiandong Mao "The observations of aerosol optical and microphysical properties by using a multi-wavelength lidar", Proc. SPIE 9674, AOPC 2015: Optical and Optoelectronic Sensing and Imaging Technology, 96741H (15 October 2015); https://doi.org/10.1117/12.2199489
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KEYWORDS
Atmospheric particles

LIDAR

Aerosols

Fiber optic gyroscopes

Atmospheric sensing

Atmospheric optics

Signal detection

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