LEADER 03367oam 2200481 450 001 9910741199603321 005 20190911103512.0 010 $a1-4614-7434-5 024 7 $a10.1007/978-1-4614-7434-0 035 $a(OCoLC)859664033 035 $a(MiFhGG)GVRL6XJY 035 $a(EXLCZ)993710000000019025 100 $a20130703d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 00$aComputational challenges in the geosciences /$fClint Dawson, Margot Gerritsen, editors 205 $a1st ed. 2013. 210 1$aNew York :$cSpringer,$d2013. 215 $a1 online resource (ix, 167 pages) $cillustrations (some color) 225 1 $aThe IMA Volumes in Mathematics and its Applications,$x0940-6573 ;$v156 300 $a"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. 300 $a"ISSN: 0940-6573." 311 $a1-4614-7433-7 320 $aIncludes bibliographical references. 327 $aPhysical 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. 330 $aComputational Challenges in the Geosciences addresses a cross-section of grand challenge problems arising in geoscience applications, including groundwater and petroleum reservoir simulation, hurricane storm surge, oceanography, volcanic eruptions and landslides, and tsunamis.  Each of these applications gives rise to complex physical and mathematical models spanning multiple space-time scales, which can only be studied through computer simulation.  The data required by the models is often highly uncertain, and the numerical solution of the models requires sophisticated algorithms which are mathematically accurate, computationally efficient and yet must preserve basic physical properties of the models.  This volume summarizes current methodologies and future research challenges in this broad and important field. . 410 0$aIMA volumes in mathematics and its applications ;$vvolume 156. 606 $aEarth sciences$xMathematical models 606 $aEarth sciences$xComputer simulation 615 0$aEarth sciences$xMathematical models. 615 0$aEarth sciences$xComputer simulation. 676 $a550.113 702 $aDawson$b Clinton N. 702 $aGerritsen$b Margot$g(Margot G.), 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910741199603321 996 $aComputational Challenges in the Geosciences$93554243 997 $aUNINA