D. Nicolae, C. Talianu, E. Carstea, C. Radu, Using classification to derive aerosol number density from lidar measurements, J.Optoelectron. Adv. Mater., 9/11 (2007) 3518-3521

Title: Using classification to derive aerosol number density from lidar measurements

Abstract: This paper reffers to the development of an iterative hybrid regularization algorithm for elastic backscatter lidar data processing which will allow to describe the microphysical properties of the suspended matter particles in the air based on OPAC aerosol classification. This method combines iteratively the direct problem Mie with the inversion method in order to determine the particle number density for which the calculated values of the backscattering coefficient are quasi-identical. The accuracy of lidar ratio profile retrieval will also be demonstrated. This analysis will present results made with synthetic lidar signals, along with advantages and the limitations of this method.

 Key words: Lidar, aerosols, Data inversion, Optical parameters