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Record Nr. |
UNINA9910741199603321 |
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Titolo |
Computational Challenges in the Geosciences / / edited by Clint Dawson, Margot Gerritsen |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (ix, 167 pages) : illustrations (some color) |
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Collana |
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The IMA Volumes in Mathematics and its Applications, , 2198-3224 ; ; 156 |
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Disciplina |
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Soggetti |
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Mathematical physics |
Climatology |
Geophysics |
Mathematical Physics |
Climate Sciences |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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"This volume is based on the workshop 'Societally Relevant Computing' held at the Institute for Mathematics and Its Applications (IMA) at the University of Minnesota, April 11-15, 2010"--P. v. |
"ISSN: 0940-6573." |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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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Sommario/riassunto |
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Computational Challenges in the Geosciences addresses a cross- |
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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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