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Nonlinear Data Assimilation

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Nonlinear Data Assimilation/ by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich.
Author:	Van Leeuwen, Peter Jan.
other author:	Cheng, Yuan.
Description:	XII, 118 p. 19 illus., 15 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Dynamics. -
Online resource:	https://doi.org/10.1007/978-3-319-18347-3
ISBN:	9783319183473

Nonlinear Data Assimilation
Van Leeuwen, Peter Jan.

Nonlinear Data Assimilation[electronic resource] /by Peter Jan Van Leeuwen, Yuan Cheng, Sebastian Reich. - 1st ed. 2015. - XII, 118 p. 19 illus., 15 illus. in color.online resource. - Frontiers in Applied Dynamical Systems: Reviews and Tutorials,22364-4532 ;. - Frontiers in Applied Dynamical Systems: Reviews and Tutorials,1.

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.

ISBN: 9783319183473

Standard No.: 10.1007/978-3-319-18347-3doiSubjects--Topical Terms:

592238
Dynamics.

LC Class. No.: QA313

Dewey Class. No.: 515.39

Nonlinear Data Assimilation
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