
- 976 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
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.
- 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
Frequently asked questions
Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Perlego offers two plans: Essential and Complete
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
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 image
- Title page
- Table of Contents
- Copyright
- 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 Variational Data Assimilation
- Chapter 22: Markov Chain Monte Carlo and Particle Filter Methods
- Chapter 23: Applications of Data Assimilation in the Geosciences
- Chapter 24: Solutions to Select Exercise
- Bibliography
- Index