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Data Assimilation: The Ensemble Kalman Filter

Data Assimilation: The Ensemble Kalman Filter

Paperback

General MathematicsGeologyProbability & Statistics

ISBN10: 3642424767
ISBN13: 9783642424762
Publisher: Springer Nature
Published: Nov 26 2014
Pages: 307
Weight: 1.03
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English

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.

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