Nonlinear data assimilation
Author(s)
Bibliographic Information
Nonlinear data assimilation
（Frontiers in applied dynamical systems : reviews and tutorials, v.2）
Springer, c2015
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Note
Includes bibliographical references
Contents of Works
- Review 1: Nonlinear data assimilation for high-dimensional systems - with geophysical applications / Peter Jan van Leeuwen
- Review 2: Assimilating data into scientific models: an optimal coupling perspective / Yuan Cheng and Sebastian Reich
Description and Table of Contents
Description
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.
Table of Contents
Nonlinear Data Assimiliatoin for High-Dimensional Systems.- Assimilating Data into Scientific Models: An Optimal Coupling Perspective.
by "Nielsen BookData"
