DOI: 10.5176/2251-1911_CMCGS15.09
Authors: C. Bockmann, S. Samaras
Abstract: Retrieving the distribution of Aerosol particles in our atmosphere via remote sensing techniques is a highly complex task that requires dealing with a wide range of different problems stemming both from Physics and Mathematics. We focus on retrieving this distribution from multi-wavelength lidar data for aerosol ensembles consisting of spherical and non-spherical particles via different regularization methods. The optical efficiencies for spheroidal scatterers are examined to account for the behavior of the underlying integral equation. The ill-posedness of the problem and the conditioning of the discretized problem are analyzed. The methods take special care of the fact that the reconstruction of the distribution via spline collocation is very sensitive to the choice of base points of the chosen spline basis.
Keywords: Inverse ill-posed problem, Regularization methods, Remote sensing of atmosphere, Retrieval of aerosol particle size Distribution, Spherical and non-spherical particles
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