Numerical Regularization for Atmospheric Inverse Problems

by Adrian Doicu, Franz Schreier, Thomas Trautmann

The retrieval problems arising in atmospheric remote sensing belong to the class of the - called discrete ill-posed problems. These problems are unstable under data perturbations, and can be solved by numerical regularization methods, in which the solution is stabilized by taking additional information into account. The goal of this research monograph is to present and analyze numerical algorithms for atmospheric retrieval. The book is aimed at physicists...

• Format: Hardcover
• Language: English
• ISBN: 3642054382
• ISBN13: 9783642054389
• Release Date: September 2010
• Publisher: Springer
• Length: 426 Pages
• Weight: 1.90 lbs.
• Dimensions: 1.1" x 6.6" x 9.5"