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Nonlinear Data Assimilation

Nonlinear Data Assimilation
Catalogue Information
Field name Details
Dewey Class 515.39
515.48
Title Nonlinear Data Assimilation ([EBook]) / by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich.
Author Van Leeuwen, Peter Jan
Added Personal Name Cheng, Yuan
Reich, Sebastian
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2015.
Publication Cham : Springer International Publishing , 2015.
Physical Details XII, 118 p. 19 illus., 15 illus. in color. : online resource.
Series Frontiers in Applied Dynamical Systems: Reviews and Tutorials 2364-4532 ; ; 2
ISBN 9783319183473
Summary Note This book contains two review articles on nonlinear data assimilation that deal with closely related topics but were written and can be read independently. Both contributions focus on so-called particle filters. The first contribution by Jan van Leeuwen focuses on the potential of proposal densities. It discusses the issues with present-day particle filters and explorers new ideas for proposal densities to solve them, converging to particle filters that work well in systems of any dimension, closing the contribution with a high-dimensional example. The second contribution by Cheng and Reich discusses a unified framework for ensemble-transform particle filters. This allows one to bridge successful ensemble Kalman filters with fully nonlinear particle filters, and allows a proper introduction of localization in particle filters, which has been lacking up to now.:
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site http://dx.doi.org/10.1007/978-3-319-18347-3
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