Data Assimilation for the Geosciences
eBook - ePub

Data Assimilation for the Geosciences

From Theory to Application

  1. 1,128 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Assimilation for the Geosciences

From Theory to Application

About this book

Data Assimilation for the Geosciences: From Theory to Application, Second Edition brings together all of the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place. It includes practical exercises enabling readers to apply theory in both a theoretical formulation as well as teach them how to code the theory with toy problems to verify their understanding. It also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to land surface, the atmosphere, ocean and other geophysical situations. The second edition of Data Assimilation for the Geosciences has been revised with up to date research that is going on in data assimilation, as well as how to apply the techniques. The new edition features an introduction of how machine learning and artificial intelligence are interfacing and aiding data assimilation. In addition to appealing to students and researchers across the geosciences, this now also appeals to new students and scientists in the field of data assimilation as it will now have even more information on the techniques, research, and applications, consolidated into one source. - Includes practical exercises and solutions enabling readers to apply theory in both a theoretical formulation as well as enabling them to code theory - Provides the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place - New to this edition: covers new topics such as Observing System Experiments (OSE) and Observing System Simulation Experiments; and expanded approaches for machine learning and artificial intelligence

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Yes, you can access Data Assimilation for the Geosciences by Steven J. Fletcher in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Geophysics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Elsevier
Year
2022
eBook ISBN
9780323972536
Edition
2
Subtopic
Geophysics

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Contents
  6. List of Illustrations
  7. List of Tables
  8. Chapter 1 : Introduction
  9. Chapter 2 : Overview of Linear Algebra
  10. Chapter 3 : Univariate Distribution Theory
  11. Chapter 4 : Multivariate Distribution Theory
  12. Chapter 5 : Introduction to Calculus of Variation
  13. Chapter 6 : Introduction to Control Theory
  14. Chapter 7 : Optimal Control Theory
  15. Chapter 8 : Numerical Solutions to Initial Value Problems
  16. Chapter 9 : Numerical Solutions to Boundary Value Problems
  17. Chapter 10 : Introduction to Semi-Lagrangian Advection Methods
  18. Chapter 11 : Introduction to Finite Element Modeling
  19. Chapter 12 : Numerical Modeling on the Sphere
  20. Chapter 13 : Tangent Linear Modeling and Adjoints
  21. Chapter 14 : Observations
  22. Chapter 15 : Non-Variational Sequential Data Assimilation Methods
  23. Chapter 16 : Variational Data Assimilation
  24. Chapter 17 : Subcomponents of Variational Data Assimilation
  25. Chapter 18 : Observation Space Variational Data Assimilation Methods
  26. Chapter 19 : Kalman Filter and Smoother
  27. Chapter 20 : Ensemble-Based Data Assimilation
  28. Chapter 21 : Non-Gaussian Based Data Assimilation
  29. Chapter 22 : Markov Chain Monte Carlo, Particle Filters, Particle Smoothers, and Sigma Point Filters
  30. Chapter 23 : Lagrangian Data Assimilation
  31. Chapter 24 : Artificial Intelligence and Data Assimilation
  32. Chapter 25 : Applications of Data Assimilation in the Geosciences
  33. Chapter 26 : Solutions to Select Exercise
  34. Bibliography
  35. Index
  36. 0–9