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

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书目名称Computational Challenges in the Geosciences
编辑Clint Dawson,Margot Gerritsen
视频video
概述Includes Interdisciplinary research.Relevant to society and public policy.Use of state of the art models, numerical methods, and computational resources.Includes supplementary material:
丛书名称The IMA Volumes in Mathematics and its Applications
图书封面Titlebook: Computational Challenges in the Geosciences;  Clint Dawson,Margot Gerritsen Conference proceedings 2013 Springer Science+Business Media New
描述.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 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.  .
出版日期Conference proceedings 2013
关键词earth system modeling; hurricane storm surge; multiscale systems; tsunami modeling; meteorology
版次1
doihttps://doi.org/10.1007/978-1-4614-7434-0
isbn_softcover978-1-4939-4576-4
isbn_ebook978-1-4614-7434-0Series ISSN 0940-6573 Series E-ISSN 2198-3224
issn_series 0940-6573
copyrightSpringer Science+Business Media New York 2013
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Methane in Subsurface: Mathematical Modeling and Computational Challenges,ne 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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Modeling Spatial and Structural Uncertainty in the Subsurface,anding of the underlying phenomena and processes taking place. We highlight several issues, techniques, and practical modeling tools available for modeling spatial and structural uncertainty of complex subsurface models. We pay particular attention to the method of training images, since this is a r
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