Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7795
Title: An adaptive base point algorithm for the retrieval of aerosol microphysical properties
Authors: Osterloh, Lukas 
Böckmann, Christine 
Mamouri, Rodanthi-Elisavet 
Keywords: Aerosols;Algorithms;Microphysics;Optical radar;Open access publishing
Issue Date: 2011
Publisher: Bentham Science
Source: Open Atmospheric Science Journal, 2011, Volume 5, Issue 1, Pages 61-73
Abstract: We propose a new iterative algorithm for the retrieval of the microphysical properties of stratospheric and tropospheric aerosols from multiwavelength lidar data. We consider the basic equation as an ill-posed problem and solve the system derived from spline collocation via a Padé iteration. The algorithm takes 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. The algorithm makes use of this fact by changing the base points used for the spline collocation at certain iteration steps. In addition, the effects of projection to ensure a nonnegative solution are examined. We tested how well this and other algorithms are suitable for retrieving the complex refractive index of the particles as well. We also examine whether the algorithm is capable of distinguishing between different, very small imaginary parts of the refractive index, which is often a main problem in practice. Finally, the algorithm is applied to real multiwavelength Raman lidar data and our results are partially validated by the thermodynamic chemical model Isorropia II.
URI: http://ktisis.cut.ac.cy/handle/10488/7795
ISSN: 18742823
DOI: 10.2174/1874282301105010061
Rights: © Author(s)
Type: Article
Appears in Collections:Άρθρα/Articles

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