Error analysis and minimum bound method for atmospheric remote sensing
نویسندگان
چکیده
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. 2006 Elsevier Ltd. All rights reserved.
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عنوان ژورنال:
- Environmental Modelling and Software
دوره 22 شماره
صفحات -
تاریخ انتشار 2007