Introduction to Numerical Modeling in the Earth Sciences
This textbook provides an introduction to the world of numerical modeling in the physical sciences, focusing more specifically on earth and planetary sciences. It is designed to lead the reader through the process of defining the mathematical or physical model of interest and applying numerical methods to approximate and explore the solutions to these models, while also providing a quantitative assessment of the limitations, performance and quality of these approximations.

The book is designed to provide a self-contained reference by including the mathematical foundations required to understand the models and their convergence. It includes a detailed discussion of models for ordinary systems of equation and partial differential equations, with pseudo-codes detailing the solution procedure. Examples are drawn from the fields of earth and planetary sciences, including, geochemical box models, non-linear ordinary differential equations describing the evolution of subvolcanic magma chambers, the mass conservation of cosmogenic nuclides in soils, diffusion in minerals, the hillslope equation, the advection-diffusion and wave equations and the shallow water equations.

Featuring numerous examples drawn from earth and planetary sciences, the content of this book has been used by the author to teach numerical methods classes at the undergraduate and graduate levels over several years, and will provide an excellent resources for teachers and learners in this area.
1147258996
Introduction to Numerical Modeling in the Earth Sciences
This textbook provides an introduction to the world of numerical modeling in the physical sciences, focusing more specifically on earth and planetary sciences. It is designed to lead the reader through the process of defining the mathematical or physical model of interest and applying numerical methods to approximate and explore the solutions to these models, while also providing a quantitative assessment of the limitations, performance and quality of these approximations.

The book is designed to provide a self-contained reference by including the mathematical foundations required to understand the models and their convergence. It includes a detailed discussion of models for ordinary systems of equation and partial differential equations, with pseudo-codes detailing the solution procedure. Examples are drawn from the fields of earth and planetary sciences, including, geochemical box models, non-linear ordinary differential equations describing the evolution of subvolcanic magma chambers, the mass conservation of cosmogenic nuclides in soils, diffusion in minerals, the hillslope equation, the advection-diffusion and wave equations and the shallow water equations.

Featuring numerous examples drawn from earth and planetary sciences, the content of this book has been used by the author to teach numerical methods classes at the undergraduate and graduate levels over several years, and will provide an excellent resources for teachers and learners in this area.
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Introduction to Numerical Modeling in the Earth Sciences

Introduction to Numerical Modeling in the Earth Sciences

by Christian Huber
Introduction to Numerical Modeling in the Earth Sciences

Introduction to Numerical Modeling in the Earth Sciences

by Christian Huber

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Overview

This textbook provides an introduction to the world of numerical modeling in the physical sciences, focusing more specifically on earth and planetary sciences. It is designed to lead the reader through the process of defining the mathematical or physical model of interest and applying numerical methods to approximate and explore the solutions to these models, while also providing a quantitative assessment of the limitations, performance and quality of these approximations.

The book is designed to provide a self-contained reference by including the mathematical foundations required to understand the models and their convergence. It includes a detailed discussion of models for ordinary systems of equation and partial differential equations, with pseudo-codes detailing the solution procedure. Examples are drawn from the fields of earth and planetary sciences, including, geochemical box models, non-linear ordinary differential equations describing the evolution of subvolcanic magma chambers, the mass conservation of cosmogenic nuclides in soils, diffusion in minerals, the hillslope equation, the advection-diffusion and wave equations and the shallow water equations.

Featuring numerous examples drawn from earth and planetary sciences, the content of this book has been used by the author to teach numerical methods classes at the undergraduate and graduate levels over several years, and will provide an excellent resources for teachers and learners in this area.

Product Details

ISBN-13: 9780198802723
Publisher: Oxford University Press
Publication date: 09/26/2025
Pages: 272
Product dimensions: 7.30(w) x 9.30(h) x 0.60(d)

About the Author

Christian Huber, Professor of Geophysics, Department of Earth, Environmental and Planetary Sciences, Brown University

Chistian Huber grew up in Geneva, Switzerland, where he studied earth sciences and physics. He then moved to the University of California Berkeley where he gained his PhD in earth and planetary sciences, before joining the faculty at the Georgia Institute of Technology and then moving to Brown University in 2016. His main interests are in magmatic processes and planetary geodynamics.

Table of Contents

Part I - Mathematical concepts1. Introduction to real valued calculus2. Introduction to multivariate calculus3. Elements of complex calculus4. Elements of linear algebra5. Treating functions as vectors6. Ordinary Differential Equations (ODEs)7. Partial Differential Equations (PDEs)Part II - Numerical Modeling, Ordinary Differential Equations (ODEs)8. First order ODE (time integration): The nuclear decay equation as a starting point9. What controls convergence? What relates convergence and stability? 10. Box Models: from single to multiple coupled ODEs11. Higher order ODEs12. Higher order discretization methodsPart III - Numerical Modeling, Partial Differential Equations (PDEs)13. Important mathematical notions when working with PDEs14. Von Neumann stability analysis: concepts15. 1-D advection equation16. Diffusion equation17. 1-D advection-diffusion equation18. 1-D wave equation19. The shallow water equationPart IV - Overview of other numerical methods20. Top-down approaches21. Bottom-up approaches
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