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Data assimilation for the geosciences : from theory to application /

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Bibliographic Details
Main Authors: Fletcher, Steven J. (Steven James)
Corporate Authors: Elsevier Science & Technology.
Published: Elsevier,
Publisher Address: Amsterdam, Netherlands :
Publication Dates: 2017.
Literature type: eBook
Language: English
Subjects:
Coding theory.
Earth sciences > Data processing.
COMPUTERS > Data Processing.
SCIENCE > System Theory.
TECHNOLOGY & ENGINEERING > Operations Research.
Electronic books.
Online Access: https://www.sciencedirect.com/science/book/9780128044445
Carrier Form: 1 online resource (xviii, 957 pages) : illustrations
Bibliography: Includes bibliographical references and index.
ISBN: 9780128044841
0128044845
Index Number: QA268
CLC: O157.4
Contents: Chapter 1. Introduction -- Chapter 2. Overview of Linear Algebra -- Chapter 3. Univariate Distribution Theory -- Chapter 4. Multivariate Distribution Theory -- Chapter 5. Introduction to Calculus of Variation -- Chapter 6. Introduction to Control Theory -- Chapter 7. Optimal Control Theory -- Chapter 8. Numerical Solutions to Initial Value Problems -- Chapter 9. Numerical Solutions to Boundary Problems -- Chapter 10. Introduction to Semi-Langrangian Advection Methods -- Chapter 11. Introduction to Finite Element Modeling -- Chapter 12. Numerical Modeling of the Sphere -- Chapter 13. Tangent Linear Modeling and Adjoints -- Chapter 14. Observations -- Chapter 15. Non-variational Sequential Data Assimilation Methods -- Chapter 16. Variational Data Assimilation -- Chapter 17. Subcomponents of Variational Data Assimilation -- Chapter 18. Observation pf Space VAR DA Methods -- Chapter 19. Kalman Filter and Smoother -- Chapter 20. Ensemble-Based Data Asssimilation -- Chapter 21. Non-Gaussian Variational Data Assimilation -- Chapter 22. Markov Chain Monte Carlo Methods -- Chapter 23. Application of Data Asssimilation in the Geosciences -- Chapter 24. Solutions to Select Exercise -- Bibliography -- Index.

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