Abstract

A method of retrieval of the aerosol particle size distribution (APSD) from multiwavelength lidar signals is presented. Assumed distribution (usually a bimodal combination of lognormal functions) with a few free parameters is directly substituted into the lidar equations. The minimization technique allows one to find the parameters that provide the best fit of the assumed APSD by comparison of theoretically generated and experimental signals. Prior knowledge of the lidar ratio is not required. The approach was tested on a typical synthetic APSD consisting of spherical droplets. Comparison of lidar measurements with results from a condensation particle counter was also performed. For signals registered at $3–5$ wavelengths from the UV to the near IR a satisfactory retrieval of synthetic APSD is possible for the particles within the $100–3000\mathrm{nm}$ range.

© 2008 Optical Society of America

Bayesian assessment of uncertainty in aerosol size distributions and index of refraction retrieved from multiwavelength lidar measurements

Benjamin R. Herman, Barry Gross, Fred Moshary, and Samir Ahmed
Appl. Opt. 47(10) 1617-1627 (2008)

Improved algorithm of aerosol particle size distribution based on remote sensing data

Qing Yan, Huige Di, Jing Zhao, Xiaonan Wen, Yufeng Wang, Yuehui Song, and Dengxin Hua
Appl. Opt. 58(29) 8075-8082 (2019)

Iterative method for the inversion of multiwavelength lidar signals to determine aerosol size distribution

K. Rajeev and K. Parameswaran
Appl. Opt. 37(21) 4690-4700 (1998)

Inversion of multiwavelength Raman lidar data for retrieval of bimodal aerosol size distribution

Igor Veselovskii, Alexei Kolgotin, Vadim Griaznov, Detlef Müller, Kathleen Franke, and David N. Whiteman
Appl. Opt. 43(5) 1180-1195 (2004)

Hybrid regularization method for the ill-posed inversion of multiwavelength lidar data in the retrieval of aerosol size distributions

Christine Böckmann
Appl. Opt. 40(9) 1329-1342 (2001)