Computational Challenges in the Geosciences: 156 Softcover reprint of the original 1st ed. 2013 Edition

Computational Challenges in the Geosciences: 156 Softcover reprint of the original 1st ed. 2013 Edition book cover

Computational Challenges in the Geosciences: 156 Softcover reprint of the original 1st ed. 2013 Edition

Author(s): Clint Dawson (Editor), Margot Gerritsen

  • Publisher: Springer
  • Publication Date: 23 Aug. 2016
  • Edition: Softcover reprint of the original 1st ed. 2013
  • Language: English
  • Print length: 176 pages
  • ISBN-10: 1493945769
  • ISBN-13: 9781493945764

Book Description

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.

Editorial Reviews

From the Back Cover

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.

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