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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Bibliographic Details
Other Authors: Dawson, Clint (Publishing director), Gerritsen, Margot (Publishing director)
Format: Livre numérique
Language:Anglais
Published: New York, NY : Springer New York 2013.
Cham : Springer Nature
Series:The IMA Volumes in Mathematics and its Applications 156
Online Access:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
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
Table of Contents:
  • 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