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Computational Challenges in the Geosciences

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Clint Dawson

    1. The University of Texas at Austin Institute for Computational Engineering, Austin, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Margot Gerritsen

    1. Stanford University Department of Energy Resources Engineeri, Stanford, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Includes Interdisciplinary research
  • Relevant to society and public policy
  • Use of state of the art models, numerical methods, and computational resources
  • Includes supplementary material: sn.pub/extras

Part of the book series: The IMA Volumes in Mathematics and its Applications (IMA, volume 156)

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Table of contents (6 papers)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Physical and Computational Issues in the Numerical Modeling of Ocean Circulation

    • Robert L. Higdon
    Pages 1-23

  3. Modeling Hazardous, Free-Surface Geophysical Flows with Depth-Averaged Hyperbolic Systems and Adaptive Numerical Methods

    • D. L. George
    Pages 25-48

  4. Real-Time Forecasting and Visualization of Hurricane Waves and Storm Surge Using SWAN+ADCIRC and FigureGen

    • J. C. Dietrich, C. N. Dawson, J. M. Proft, M. T. Howard, G. Wells, J. G. Fleming et al.
    Pages 49-70

  5. Methane in Subsurface: Mathematical Modeling and Computational Challenges

    • Malgorzata Peszynska
    Pages 71-100

  6. Fast Algorithms for Bayesian Inversion

    • Sivaram Ambikasaran, Arvind K. Saibaba, Eric F. Darve, Peter K. Kitanidis
    Pages 101-142

  7. Modeling Spatial and Structural Uncertainty in the Subsurface

    • Margot Gerritsen, Jef Caers
    Pages 143-167
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Keywords

About this book

Computational Challenges in the Geosciences addresses a cross-section of grand challenge problems arising in geoscience applications, including groundwater and petroleum reservoir simulation, hurricane storm surge, oceanography, volcanic eruptions and landslides, and tsunamis.  Each of these applications gives rise to complex physical and mathematical models spanning multiple space-time scales, which can only be studied through computer simulation.  The data required by the models is often highly uncertain, and the numerical solution of the models requires sophisticated algorithms which are mathematically accurate, computationally efficient and yet must preserve basic physical properties of the models.  This volume summarizes current methodologies and future research challenges in this broad and important field. 

Editors and Affiliations

  • The University of Texas at Austin Institute for Computational Engineering, Austin, USA

    Clint Dawson

  • Stanford University Department of Energy Resources Engineeri, Stanford, USA

    Margot Gerritsen

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