Nonlinear Data Assimilation

Van Leeuwen, Peter Jan; Reich, Sebastian; Cheng, Yuan

ISBN 10: 331918346X / ISBN 13: 9783319183466

Edité par Springer, 2015

N° de réf. du vendeur 23669783-n

Synopsis :

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.

À propos de l?auteur:

Peter Jan van Leeuwen is a Professor of Data Assimilation at the University of Reading. His research interests include nonlinear data assimilation, geophysical fluid dynamics, interaction thermohaline and wind-driven ocean circulation, and perturbation theory.

Sebastian Reich is a Professor in the Department of Numerical Mathematics at Universität Potsdam. His research interests include uncertainty quantification, geophysical fluid dynamics, molecular dynamics, and geometric integration.

Détails bibliographiques

Titre : Nonlinear Data Assimilation
Éditeur : Springer
Date d'édition : 2015
Reliure : Couverture souple
Etat : New