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.
It started like every other hike they had done for thirty-five years. They spread out on the trail with the stronger hikers in the lead. Then it happened. The two-way radio, the lifeline that kept them connected when they hiked, went eerily silent. The next moments changed their lives forever. A frantic nonstop race to save their friend begins. It…
How to download book
Buy this book
You can buy this book now only for $33.89. This is the lowest price for this book.
Download book free
If you want to download this book for free, please register, approve your account and get one book for free.
After that you may download book «Nonlinear Data Assimilation»: