
- 1,128 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
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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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
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
Table of contents
- Cover
- Front Matter
- Table of Contents
- Copyright
- Contents
- List of Illustrations
- List of Tables
- 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 Value Problems
- Chapter 10 : Introduction to Semi-Lagrangian Advection Methods
- Chapter 11 : Introduction to Finite Element Modeling
- Chapter 12 : Numerical Modeling on 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 Space Variational Data Assimilation Methods
- Chapter 19 : Kalman Filter and Smoother
- Chapter 20 : Ensemble-Based Data Assimilation
- Chapter 21 : Non-Gaussian Based Data Assimilation
- Chapter 22 : Markov Chain Monte Carlo, Particle Filters, Particle Smoothers, and Sigma Point Filters
- Chapter 23 : Lagrangian Data Assimilation
- Chapter 24 : Artificial Intelligence and Data Assimilation
- Chapter 25 : Applications of Data Assimilation in the Geosciences
- Chapter 26 : Solutions to Select Exercise
- Bibliography
- Index
- 0–9