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Chapter 1 - Introduction
Pages 1-4 - Book chapterAbstract only
Chapter 2 - Overview of Linear Algebra
Pages 5-27 - Book chapterAbstract only
Chapter 3 - Univariate Distribution Theory
Pages 29-124 - Book chapterAbstract only
Chapter 4 - Multivariate Distribution Theory
Pages 125-161 - Book chapterAbstract only
Chapter 5 - Introduction to Calculus of Variation
Pages 163-196 - Book chapterAbstract only
Chapter 6 - Introduction to Control Theory
Pages 197-234 - Book chapterAbstract only
Chapter 7 - Optimal Control Theory
Pages 235-272 - Book chapterAbstract only
Chapter 8 - Numerical Solutions to Initial Value Problems
Pages 273-315 - Book chapterAbstract only
Chapter 9 - Numerical Solutions to Boundary Value Problems
Pages 317-360 - Book chapterAbstract only
Chapter 10 - Introduction to Semi-Lagrangian Advection Methods
Pages 361-441 - Book chapterAbstract only
Chapter 11 - Introduction to Finite Element Modeling
Pages 443-482 - Book chapterAbstract only
Chapter 12 - Numerical Modeling on the Sphere
Pages 483-554 - Book chapterAbstract only
Chapter 13 - Tangent Linear Modeling and Adjoints
Pages 555-598 - Book chapterAbstract only
Chapter 14 - Observations
Pages 599-626 - Book chapterAbstract only
Chapter 15 - Non-variational Sequential Data Assimilation Methods
Pages 627-671 - Book chapterAbstract only
Chapter 16 - Variational Data Assimilation
Pages 673-703 - Book chapterAbstract only
Chapter 17 - Subcomponents of Variational Data Assimilation
Pages 705-751 - Book chapterAbstract only
Chapter 18 - Observation Space Variational Data Assimilation Methods
Pages 753-763 - Book chapterAbstract only
Chapter 19 - Kalman Filter and Smoother
Pages 765-782 - Book chapterAbstract only
Chapter 20 - Ensemble-Based Data Assimilation
Pages 783-821 - Book chapterAbstract only
Chapter 21 - Non-Gaussian Variational Data Assimilation
Pages 823-868 - Book chapterAbstract only
Chapter 22 - Markov Chain Monte Carlo and Particle Filter Methods
Pages 869-885 - Book chapterAbstract only
Chapter 23 - Applications of Data Assimilation in the Geosciences
Pages 887-916 - Book chapterNo access
Chapter 24 - Solutions to Select Exercise
Pages 917-922 - Book chapterNo access
Bibliography
Pages 923-939 - Book chapterNo access
Index
Pages 941-957
About the book
Description
Data Assimilation for the Geosciences: From Theory to Application brings together all of the mathematical,statistical, and probability background knowledge needed to formulate data assimilation systems in one place. It includes practical exercises for understanding theoretical formulation and presents some aspects of coding the theory with a toy problem.
The book also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to the atmosphere, oceans, as well as the land surface and other geophysical situations. It offers a comprehensive presentation of the subject, from basic principles to advanced methods, such as Particle Filters and Markov-Chain Monte-Carlo methods. Additionally, Data Assimilation for the Geosciences: From Theory to Application covers the applications of data assimilation techniques in various disciplines of the geosciences, making the book useful to students, teachers, and research scientists.
Data Assimilation for the Geosciences: From Theory to Application brings together all of the mathematical,statistical, and probability background knowledge needed to formulate data assimilation systems in one place. It includes practical exercises for understanding theoretical formulation and presents some aspects of coding the theory with a toy problem.
The book also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to the atmosphere, oceans, as well as the land surface and other geophysical situations. It offers a comprehensive presentation of the subject, from basic principles to advanced methods, such as Particle Filters and Markov-Chain Monte-Carlo methods. Additionally, Data Assimilation for the Geosciences: From Theory to Application covers the applications of data assimilation techniques in various disciplines of the geosciences, making the book useful to students, teachers, and research scientists.
Key Features
- Includes practical exercises, enabling readers to apply concepts in a theoretical formulation
- Offers explanations for how to code certain parts of the theory
- Presents a step-by-step guide on how, and why, data assimilation works and can be used
- Includes practical exercises, enabling readers to apply concepts in a theoretical formulation
- Offers explanations for how to code certain parts of the theory
- Presents a step-by-step guide on how, and why, data assimilation works and can be used
Details
ISBN
978-0-12-804444-5
Language
English
Published
2017
Copyright
Copyright © 2017 Elsevier Inc. All rights reserved.
Imprint
Elsevier