Six Myths About Mathematical Modeling in Geomorphology

  1. Peter R. Wilcock and
  2. Richard M. Iverson
  1. Rafael L. Bras1,
  2. Gregory E. Tucker2 and
  3. Vanessa Teles1

Published Online: 29 MAR 2013

DOI: 10.1029/135GM06

Prediction in Geomorphology

Prediction in Geomorphology

How to Cite

Bras, R. L., Tucker, G. E. and Teles, V. (2003) Six Myths About Mathematical Modeling in Geomorphology, in Prediction in Geomorphology (eds P. R. Wilcock and R. M. Iverson), American Geophysical Union, Washington, D. C.. doi: 10.1029/135GM06

Author Information

  1. 1

    Department of Civil and Environmental Engineering, MIT, Cambridge, Massachusetts

  2. 2

    School of Geography and the Environment, Oxford University, Mansfield Road, Oxford, UK

Publication History

  1. Published Online: 29 MAR 2013
  2. Published Print: 1 JAN 2003

ISBN Information

Print ISBN: 9780875909936

Online ISBN: 9781118668559

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Keywords:

  • Geomorphology—Mathematical models

Summary

This chapter contains sections titled:

  • Introduction

  • Behind Every Good Model there is a Solution to Partial Differential Equations

  • A Model is Verified when it Predicts Observed Features of Landscapes

  • The Function of a Model is to Make Quantitative Predictions for Comparison with Nature

  • A Rejected Model is a Failed Experiment

  • Complex Models Must Yield Complex Results

  • Complex Mathematical Models Results Should Agree with Guiding Principles of Behavior

  • Conclusions