Atmospheric aerosol particle size distribution from Lidar data based on the lognormal distribution mode

Yuchen Shi; Wenqing Liu; Yunsheng Dong; Xuesong Zhao; Yan Xiang; Tianshu Zhang; Lihui Lv

doi:10.1016/j.heliyon.2022.e09975

Atmospheric aerosol particle size distribution from Lidar data based on the lognormal distribution mode

Heliyon. 2022 Jul 19;8(8):e09975. doi: 10.1016/j.heliyon.2022.e09975. eCollection 2022 Aug.

Authors

Yuchen Shi^{1

2}, Wenqing Liu², Yunsheng Dong², Xuesong Zhao², Yan Xiang², Tianshu Zhang², Lihui Lv²

Affiliations

¹ University of Science and Technology of China, School of Environmental Science and Optoelectronic Technology, 96 Jinzhai Road, Hefei, Anhui, CN, 230000, China.
² Hefei Institutes of Physical Science, Anhui Institute of Optics and Fine Mechanics, ChuangXin Avenue, LuYang District, Hefei, Anhui, CN, 230000, China.

Abstract

Analysis of the atmospheric Aerosol Particle Size Distribution (APSD) retrieved from Light Detection and Ranging (Lidar) data is one of the popular fields in atmospheric remote sensing. An APSD retrieval method based on the lognormal particle size distribution, the Mie theory, and the Second Simulation of the Satellite Signal in the Solar Spectrum (6S) were studied. According to the 6S, this method divides the main body of the aerosols into four basic components and calculates the APSD from Lidar data and the optical and microphysical characteristics of these components. Numerical simulation and experimental observations reveal that this method can obtain the APSD for particle sizes of >0.15 μm in the different vertical layers with good reliability.

Keywords: 6S; APSD; Lidar; Lognormal particle size distribution.