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Runge-Kutta type regularization method for inversion of spheroidal particle distribution from limited optical data

  • The Runge-Kutta type regularization method was recently proposed as a potent tool for the iterative solution of nonlinear ill-posed problems. In this paper we analyze the applicability of this regularization method for solving inverse problems arising in atmospheric remote sensing, particularly for the retrieval of spheroidal particle distribution. Our numerical simulations reveal that the Runge-Kutta type regularization method is able to retrieve two-dimensional particle distributions using optical backscatter and extinction coefficient profiles, as well as depolarization information.

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Metadaten
Author details:Christine BöckmannORCiDGND, Lukas Osterloh
DOI:https://doi.org/10.1080/17415977.2013.830615
ISSN:1741-5977
ISSN:1741-5985
Title of parent work (English):Inverse problems in science and engineering
Publisher:Routledge, Taylor & Francis Group
Place of publishing:Abingdon
Publication type:Article
Language:English
Year of first publication:2014
Publication year:2014
Release date:2017/03/27
Tag:47A52; 65R20; 65R32; 78A46; aerosol size distribution; integral equation; inverse ill-posed problem; inverse scattering; iterative regularization; laser remote sensing
Volume:22
Issue:1
Number of pages:16
First page:150
Last Page:165
Funding institution:European Union [289923]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Mathematik
Peer review:Referiert
External remark:Zweitveröffentlichung in der Schriftenreihe Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe ; 907
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