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

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 Simulat...

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Detalles Bibliográficos
Autores principales: Shi, Yuchen, Liu, Wenqing, Dong, Yunsheng, Zhao, Xuesong, Xiang, Yan, Zhang, Tianshu, Lv, Lihui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350875/
https://www.ncbi.nlm.nih.gov/pubmed/35936234
http://dx.doi.org/10.1016/j.heliyon.2022.e09975
Descripción
Sumario: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.