Computational challenges in the geosciences

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 applica...

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Weitere Verfasser: Dawson, Clint (Verlagsleitung), Gerritsen, Margot (Verlagsleitung)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: New York, NY : Springer New York 2013.
Cham : Springer Nature
Schriftenreihe:The IMA Volumes in Mathematics and its Applications 156
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Edition sous un autre format:• Computational challenges in the geosciences, Clint Dawson, Margot Gerritsen, editors, New York, Springer, 2013, 1 vol. (IX-167 pages), The IMA Volumes in Mathematics and its Applications, 978-1-4614-7433-3
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505 1 |a Physical and Computational Issues in the Numerical Modeling of Ocean Circulation, R.L. Higdon Modeling Hazardous, Free-Surface Geophysical Flows with Depth-Averaged Hyperbolic Systems and Adaptive Numerical Methods, D.L. George 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, R.A. Luettich, Jr., J.J. Westerink, Z. Cobell, M. Vitse, H. Lander, B.O. Blanton, C.M. Szpilka, J.H. Atkinson Methane in Surbsurface: Mathematical  Modeling and Computational Challenges, M. Peszynska Fast Algorithms for Bayesian Inversion, S. Ambikasaran, A. K. Saibaba, E.F. Darve and P.K. Kitanidis Modeling Spatial and Structural Uncertainty in the Subsurface , M. Gerritsen and J. Caers 
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520 |a 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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