Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
568829 | Environmental Modelling & Software | 2007 | 10 Pages |
Abstract
In this study, we present an error analysis for Tikhonov regularization in a semi-stochastic setting. The analysis is carried out in such a way that it can be applied to any kind of inverse problem in atmospheric remote sensing. A method for selecting the optimal regularization parameter relying on the minimization of an estimator of the bound of the error between the first iterate and the exact solution is also discussed. Numerical simulations are performed for NO2 retrieval from SCIAMACHY limb scatter measurements.
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Adrian Doicu, Franz Schreier, Siegfried Hilgers, Michael Hess,