Data assimilation for the geosciences : from theory to application /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fletcher, Steven J. (Steven James) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, 2017.
Temas:
Coding theory.
Earth sciences > Data processing.
COMPUTERS > Data Processing.
SCIENCE > System Theory.
TECHNOLOGY & ENGINEERING > Operations Research.
Coding theory
Earth sciences > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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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