### Abstract

Mathematical Modeling of Earth's Dynamical Systemsgives Earth scientists the essential skills for translating chemical and physical systems into mathematical and computational models that provide enhanced insight into Earth's processes. Using a step-by-step method, the book identifies the important geological variables of physical-chemical geoscience problems and describes the mechanisms that control these variables.This book is directed toward upper-level undergraduate students, graduate students, researchers, and professionals who want to learn how to abstract complex systems into sets of dynamic equations. It shows students how to recognize domains of interest and key factors, and how to explain assumptions in formal terms. The book reveals what data best tests ideas of how nature works, and cautions against inadequate transport laws, unconstrained coefficients, and unfalsifiable models. Various examples of processes and systems, and ample illustrations, are provided. Students using this text should be familiar with the principles of physics, chemistry, and geology, and have taken a year of differential and integral calculus.Mathematical Modeling of Earth's Dynamical Systemshelps Earth scientists develop a philosophical framework and strong foundations for conceptualizing complex geologic systems.Step-by-step lessons for representing complex Earth systems as dynamical modelsExplains geologic processes in terms of fundamental laws of physics and chemistryNumerical solutions to differential equations through the finite difference techniqueA philosophical approach to quantitative problem-solvingVarious examples of processes and systems, including the evolution of sandy coastlines, the global carbon cycle, and much more.

Original language | English (US) |
---|---|

Publisher | Princeton University Press |

ISBN (Print) | 9780691145136 |

State | Published - Mar 28 2011 |

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### All Science Journal Classification (ASJC) codes

- Physics and Astronomy(all)
- Mathematics(all)
- Earth and Planetary Sciences(all)

### Cite this

*Mathematical modeling of earth's dynamical systems: A primer*. Princeton University Press.

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*Mathematical modeling of earth's dynamical systems: A primer*. Princeton University Press.

**Mathematical modeling of earth's dynamical systems : A primer.** / Slingerland, Rudy; Kump, Lee.

Research output: Book/Report › Book

TY - BOOK

T1 - Mathematical modeling of earth's dynamical systems

T2 - A primer

AU - Slingerland, Rudy

AU - Kump, Lee

PY - 2011/3/28

Y1 - 2011/3/28

N2 - Mathematical Modeling of Earth's Dynamical Systemsgives Earth scientists the essential skills for translating chemical and physical systems into mathematical and computational models that provide enhanced insight into Earth's processes. Using a step-by-step method, the book identifies the important geological variables of physical-chemical geoscience problems and describes the mechanisms that control these variables.This book is directed toward upper-level undergraduate students, graduate students, researchers, and professionals who want to learn how to abstract complex systems into sets of dynamic equations. It shows students how to recognize domains of interest and key factors, and how to explain assumptions in formal terms. The book reveals what data best tests ideas of how nature works, and cautions against inadequate transport laws, unconstrained coefficients, and unfalsifiable models. Various examples of processes and systems, and ample illustrations, are provided. Students using this text should be familiar with the principles of physics, chemistry, and geology, and have taken a year of differential and integral calculus.Mathematical Modeling of Earth's Dynamical Systemshelps Earth scientists develop a philosophical framework and strong foundations for conceptualizing complex geologic systems.Step-by-step lessons for representing complex Earth systems as dynamical modelsExplains geologic processes in terms of fundamental laws of physics and chemistryNumerical solutions to differential equations through the finite difference techniqueA philosophical approach to quantitative problem-solvingVarious examples of processes and systems, including the evolution of sandy coastlines, the global carbon cycle, and much more.

AB - Mathematical Modeling of Earth's Dynamical Systemsgives Earth scientists the essential skills for translating chemical and physical systems into mathematical and computational models that provide enhanced insight into Earth's processes. Using a step-by-step method, the book identifies the important geological variables of physical-chemical geoscience problems and describes the mechanisms that control these variables.This book is directed toward upper-level undergraduate students, graduate students, researchers, and professionals who want to learn how to abstract complex systems into sets of dynamic equations. It shows students how to recognize domains of interest and key factors, and how to explain assumptions in formal terms. The book reveals what data best tests ideas of how nature works, and cautions against inadequate transport laws, unconstrained coefficients, and unfalsifiable models. Various examples of processes and systems, and ample illustrations, are provided. Students using this text should be familiar with the principles of physics, chemistry, and geology, and have taken a year of differential and integral calculus.Mathematical Modeling of Earth's Dynamical Systemshelps Earth scientists develop a philosophical framework and strong foundations for conceptualizing complex geologic systems.Step-by-step lessons for representing complex Earth systems as dynamical modelsExplains geologic processes in terms of fundamental laws of physics and chemistryNumerical solutions to differential equations through the finite difference techniqueA philosophical approach to quantitative problem-solvingVarious examples of processes and systems, including the evolution of sandy coastlines, the global carbon cycle, and much more.

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AN - SCOPUS:84883952293

SN - 9780691145136

BT - Mathematical modeling of earth's dynamical systems

PB - Princeton University Press

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