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001 978-1-4614-7434-0
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007 cr nn 008mamaa
008 130916s2013 xxu| s |||| 0|eng d
020 _a9781461474340
_9978-1-4614-7434-0
024 7 _a10.1007/978-1-4614-7434-0
_2doi
050 4 _aQC19.2-20.85
072 7 _aPBWH
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
245 1 0 _aComputational Challenges in the Geosciences
_h[electronic resource] /
_cedited by Clint Dawson, Margot Gerritsen.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2013.
300 _aIX, 167 p. 57 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aThe IMA Volumes in Mathematics and its Applications,
_x0940-6573 ;
_v156
505 0 _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.
520 _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. .
650 0 _aMathematics.
650 0 _aMeteorology.
650 0 _aGeophysics.
650 0 _aMathematical physics.
650 1 4 _aMathematics.
650 2 4 _aMathematical Applications in the Physical Sciences.
650 2 4 _aMeteorology.
650 2 4 _aGeophysics/Geodesy.
700 1 _aDawson, Clint.
_eeditor.
700 1 _aGerritsen, Margot.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461474333
830 0 _aThe IMA Volumes in Mathematics and its Applications,
_x0940-6573 ;
_v156
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-7434-0
912 _aZDB-2-SMA
999 _c370760
_d370760