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Data Assimilation : The Ensemble Kalman Filter
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction
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Chapter 2
Statistical definitions
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Chapter 3
Analysis scheme
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Chapter 4
Sequential data assimilation
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Chapter 5
Variational inverse problems
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Chapter 6
Nonlinear variational inverse problems
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Chapter 7
Probabilistic formulation
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Chapter 8
Generalized Inverse
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Chapter 9
Ensemble methods
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Chapter 10
Statistical optimization
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Chapter 11
Sampling strategies for the EnKF
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Chapter 12
Model errors
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Chapter 13
Square Root Analysis schemes
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Chapter 14
Rank issues
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Chapter 15
An ocean prediction system
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Chapter 16
Estimation in an oil reservoir simulator
Overall attention for this book and its chapters
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Mentioned by
syllabi
2
institutions with syllabi
wikipedia
2
Wikipedia pages
Citations
dimensions_citation
349
Dimensions
Readers on
mendeley
397
Mendeley
Book overview
1. Introduction
2. Statistical definitions
3. Analysis scheme
4. Sequential data assimilation
5. Variational inverse problems
6. Nonlinear variational inverse problems
7. Probabilistic formulation
8. Generalized Inverse
9. Ensemble methods
10. Statistical optimization
11. Sampling strategies for the EnKF
12. Model errors
13. Square Root Analysis schemes
14. Rank issues
15. An ocean prediction system
16. Estimation in an oil reservoir simulator
Summary
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
2
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
Florida State University
1
Unknown
Unknown
1
Unknown