Data Assimilation: The Ensemble Kalman Filter 1st Edition

Ebook Details


Geir Evensen

Year 2006
Pages 280
Publisher Springer
Language en
ISBN 9783540383000
File Size 12.33 MB
File Format PDF
Download Counter 91
Amazon Link

Ebook Description

Data Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation. This text and reference focuses on various popular data assimilation methods, such as weak and strong constraint variational methods and ensemble filters and smoothers. It is demonstrated how the different methods can be derived from a common theoretical basis, as well as how they differ and/or are related to each other, and which properties characterize them, using several examples.