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Data assimilation for the geosciences : from theory to application / Steven J. Fletcher.

By: Contributor(s): Publisher: Amsterdam, Netherlands : Elsevier, 2017Description: 1 online resource (xviii, 957 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780128044841
  • 0128044845
Subject(s): Genre/Form: Additional physical formats: Print version:: Data assimilation for the geosciences.LOC classification:
  • QA268
Online resources:
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.
Item type: eBooks
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Includes bibliographical references and index.

Online resource; title from PDF title page (ScienceDirect, viewed March 22, 2017).

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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