Data Assimilation: The Ensemble Kalman Filter 2nd ed. 2009 Edition

Ebook Details


Geir Evensen

Year 2009
Pages 307
Publisher Springer
Language en
ISBN 9783642037108
File Size 9.87 MB
File Format PDF
Download Counter 123
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Ebook Description

This book reviews popular data-assimilation methods, such as weak and strong constraint variational methods, ensemble filters and smoothers. The author shows how different methods can be derived from a common theoretical basis, as well as how they differ or are related to each other, and which properties characterize them, using several examples. Readers will appreciate the included introductory material and detailed derivations in the text, and a supplemental web site.