Five invited expository articles from an October 2011 workshop in Linz, Austria discuss the processing and handling of large scale data and models in earth sciences, and the efficient extraction of the relevant information from them. They cover the synergy of inverse problems and data assimilation techniques, variational data assimilation for very large environmental problems, ensemble filter techniques for intermittent data assimilation, inverse problems in imaging, and the lost honor of l2-based regularization. They are not indexed. Annotation ©2013 Book News, Inc., Portland, OR (booknews.com)
The book will contain a selection of expository articles on large scale inverse problems in the earth sciences. These include seven survey and proceeding type articles on inverse problems and data Assimilation techniques, inverse problems in applications such as hydrology, geology, geophysics, weather prediction and imaging. Furthermore there will be reports on filter techniques and solvers for optimisation problems arising from data assimilation and inverse problems. Contributions: Roland Potthast, Melina A Freitag: Synergy of inverse problems and data assimilation techniques. Olaf A. Cirpka, Wolfgang Nowak, Ronnie L. Schwede, Wei Li: Geostatistical Approaches of Inverse Modelling in Subsurface Hydrology. Amos Lawless: Variational data assimilation for large-scale environmental problems. Martin Burger, Hendrik Dirks, Jahn Müller: Inverse problems in imaging. Sebastian Reich: Introduction to ensemble filter techniques for intermittent data assimilation. Serge Gratton, Philippe Toint: Optimisation methods for data assimilation in geosciences. Eldad Haber, Lior Horesh, Luis Tenorio: Design in inverse problems.
Mike Cullen, MET Office, Exeter, UK; Melina Freitag, University of Bath, UK; Stefan Kindermann, Johann Kepler University Linz, Austria; Robert Scheichl, University of Bath, UK.
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