Titlebook: Computational Challenges in the Geosciences; Clint Dawson,Margot Gerritsen Conference proceedings 2013 Springer Science+Business Media New

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J. Broeckhove,B. Feyen,P. Van Leuvenare described. These shallow flows are often modeled with two-dimensional depth-averaged equations that possess similar mathematical structure: they are usually nonconservative hyperbolic systems with source terms. Some numerical challenges presented by these systems, particularly with regard to fea

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C. A. Nicolini,A. Diaspro,P. Germanoand landscapes. Computer modeling of storm surge is useful for two primary purposes: forecasting of storm impacts for response planning, particularly the evacuation of vulnerable coastal populations; and hindcasting of storms for determining risk, development of mitigation strategies, coastal restor

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C. A. Nicolini,A. Diaspro,P. Germanone gas in the subsurface. In particular, we develop advanced models of adsorption occurring in coalbed methane recovery processes, and discuss the underlying conservation laws with nonstandard terms. Next we describe the phase transitions relevant for modeling methane hydrates in subsea sediments, w

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C. A. Nicolini,A. Diaspro,P. Germanon to the Bayesian stochastic inverse methodology, we review the following computational techniques, to solve large scale problems: the fast Fourier transform, the fast multipole method (classical and a black-box version), and finallym the hierarchical matrix approach. We emphasize that this is mainl

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https://doi.org/10.1007/978-1-4614-7434-0earth system modeling; hurricane storm surge; multiscale systems; tsunami modeling; meteorology

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978-1-4939-4576-4Springer Science+Business Media New York 2013

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Real-Time Forecasting and Visualization of Hurricane Waves and Storm Surge Using SWAN+ADCIRC and Fives and storm surge as computed by these models. The system was applied recently to forecast Hurricane Isaac (2012) as it made landfall in southern Louisiana. Model results are shown to be an accurate warning of the impacts of waves and circulation along the northern Gulf coastline, especially when

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Modeling Spatial and Structural Uncertainty in the Subsurface,f, for example, the exploration and extraction of natural resources including groundwater, fossil fuels, and geothermal energy; the storage of nuclear material; and sequestration of carbon dioxide. Although we focus on the subsurface, many of the techniques discussed are applicable to other areas of