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Data Assimilation: The Ensemble Kalman Filter [Hardcover]

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Item description for Data Assimilation: The Ensemble Kalman Filter by Geir Evensen...

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.

Rather than emphasize a particular discipline such as oceanography or meteorology, it presents the mathematical framework and derivations in a way which is common for any discipline where dynamics is merged with measurements. The mathematics level is modest, although it requires knowledge of basic spatial statistics, Bayesian statistics, and calculus of variations. Readers will also appreciate the introduction to the mathematical methods used and detailed derivations, which should be easy to follow, are given throughout the book. The codes used in several of the data assimilation experiments are available on a web page. In particular, this webpage contains a complete ensemble Kalman filter assimilation system, which forms an ideal starting point for a user who wants to implement the ensemble Kalman filter with his/her own dynamical model.

The focus on ensemble methods, such as the ensemble Kalman filter and smoother, also makes it a solid reference to the derivation, implementation and application of such techniques. Much new material, in particular related to the formulation and solution of combined parameter and state estimation problems and the general properties of the ensemble algorithms, is available here for the first time.

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Item Specifications...

Pages   280
Est. Packaging Dimensions:   Length: 9.37" Width: 6.38" Height: 0.87"
Weight:   1.46 lbs.
Binding  Hardcover
Release Date   Nov 14, 2006
Publisher   Springer
ISBN  354038300X  
ISBN13  9783540383000  

Availability  0 units.

More About Geir Evensen

Register your artisan biography and upload your photo! Geir Evensen obtained his Ph.D. in applied mathematics at the University in Bergen in 1992. Thereafter he has worked as a Research Director at the Nansen Environmental and Remote Sensing Center/Mohn-Sverdrup Center, as Prof. II at the Department of Mathematics at the University in Bergen, and as a Principal Engineer at the Hydro Research Center in Bergen. He is author or coauthor of more that 40 refereed publications related to modelling and data assimilation, and he has been the coordinator of international research projects on the development of data assimilation methodologies and systems.

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Product Categories

1Books > Special Features > New & Used Textbooks > Computer Science & Information Systems > Algorithms
2Books > Special Features > New & Used Textbooks > Sciences > Earth Sciences
3Books > Special Features > New & Used Textbooks > Sciences > Mathematics > Statistics
4Books > Subjects > Computers & Internet > Programming > Algorithms > General
5Books > Subjects > Professional & Technical > Professional Science > Earth Sciences > General
6Books > Subjects > Professional & Technical > Professional Science > Earth Sciences > Geology
7Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > General
8Books > Subjects > Professional & Technical > Professional Science > Mathematics > Applied > Statistics
9Books > Subjects > Science > Earth Sciences > General
10Books > Subjects > Science > Mathematics > Applied > General
11Books > Subjects > Science > Mathematics > Applied > Probability & Statistics
12Books > Subjects > Science > Mathematics > General

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