The retrieval problems arising in atmospheric remote sensing belong to the class of the - called discrete ill-posed problems. These problems are unstable under

Provides a basic understanding of both the underlying mathematics and the computational methods used to solve inverse problems.

Data assimilation aims at determining as accurately as possible the state of a dynamical system by combining heterogeneous sources of information in an optimal

This book is aimed at description of recent progress in radiative transfer, atmospheric remote sensing, snow optics, and light scattering. Light scattering/ rad

"Optimization and Regularization for Computational Inverse Problems and Applications" focuses on advances in inversion theory and recent developments with pract