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Frontiers in computational physics: modeling the earth system

Abgrall, Rémi; Smolarkiewicz, Piotr; Xiao, Feng; Zaleski, Stéphane (2014). Frontiers in computational physics: modeling the earth system. Journal of Computational Physics, 271:1.

Abstract

In January 2013, the Journal of Computational Physics announced an open call for quality papers to topical issues on Frontiers in Computational Physics devoted to modeling the Earth System. Computational models play an essential role in diagnosis and prognosis of all elements of the Earth System, from solar variability through space weather, geomechanics, terrestrial climate and weather, down to ground water flow. The current topical issue is meant to provide a forum for exchanging and sharing experience and knowledge across disciplines on advanced computational techniques, methods and models to improve the simulation of the Earth System. With computational aspects in focus, the physical emphasis is on natural problems that are complex, coupled and multiscale. The emphasized themes of particular interest include: global systems and complexity models; global and regional climate; uncertainty quantification; solar variability and space weather; weather, deep atmosphere, planetary boundary layer, air quality; ocean, anisotropy, eddy resolving computations; water cycle, glaciology, ground water flow; geology and geomechanics; multiscale interactions, turbulence, extreme events, and subgrid-scale parameterizations. All the contributions reflect well the multiscale, multiphysics intricacies of the Earth System, while stressing the importance of computational models in advancing our knowledge beyond observations. All the papers selected for publication underwent the usual review process, according to the journal standards.

Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:510 Mathematics
Scopus Subject Areas:Physical Sciences > Numerical Analysis
Physical Sciences > Modeling and Simulation
Physical Sciences > Physics and Astronomy (miscellaneous)
Physical Sciences > General Physics and Astronomy
Physical Sciences > Computer Science Applications
Physical Sciences > Computational Mathematics
Physical Sciences > Applied Mathematics
Language:English
Date:15 August 2014
Deposited On:08 Mar 2018 09:14
Last Modified:18 Jan 2025 02:37
Publisher:Elsevier
ISSN:0021-9991
OA Status:Closed
Publisher DOI:https://doi.org/10.1016/j.jcp.2014.04.002
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