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Data assimilation for the geosciences : from theory to application / Steven J. Fletcher, Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA.

By: Material type: TextTextDescription: xviii, 957 pages : illustrations (some color)ISBN:
  • 9780128044445
  • 0128044446
Subject(s): DDC classification:
  • 550.285 FLE.D
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 of Space Variation Data Assimilation 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 and Particle Filter Methods -- Chapter 23. Applications of Data Asssimilation in the Geosciences -- Chapter 24. Solutions to Select Exercise -- Bibliography -- Index.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Geology Processing Center Dept. of Geology 519.5 FLE.D (Browse shelf(Opens below)) Available GEO4973

Includes bibliographical references (pages 923-939) and index.

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 of Space Variation Data Assimilation 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 and Particle Filter Methods -- Chapter 23. Applications of Data Asssimilation in the Geosciences -- Chapter 24. Solutions to Select Exercise -- Bibliography -- Index.

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