2002
DOI: 10.1007/0-306-48421-8_8
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Forward-in-time Differencing for Fluids: Simulation of Geophysical Turbulence

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Cited by 35 publications
(77 citation statements)
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“…From the practical point of view, however, their main advantage is that nonlinearly stable turbulent simulations can be produced on relatively coarse grids (Smolarkiewicz and Prusa, 2002;Domaradzki, Xiao, and Smolarkiewicz, 2003;Margolin, Smolarkiewicz, and Wyszogradzki, 2006;Smolarkiewicz and Margolin, 2007), which, in particular, allows long temporal integration, as required in the study of behaviors such as magnetic cycles, developping on timescales very much longer than the turbulent turnover time.…”
Section: The Global Simulationmentioning
confidence: 99%
“…From the practical point of view, however, their main advantage is that nonlinearly stable turbulent simulations can be produced on relatively coarse grids (Smolarkiewicz and Prusa, 2002;Domaradzki, Xiao, and Smolarkiewicz, 2003;Margolin, Smolarkiewicz, and Wyszogradzki, 2006;Smolarkiewicz and Margolin, 2007), which, in particular, allows long temporal integration, as required in the study of behaviors such as magnetic cycles, developping on timescales very much longer than the turbulent turnover time.…”
Section: The Global Simulationmentioning
confidence: 99%
“…Notably, among nonoscillatory schemes MPDATA appears to have unique dissipative properties [17] in mimicking the action of explicit subgrid-scale turbulence models where flow is underresolved -cf. [30][31][32][33] and references therein. This makes MPDATA methods suitable for direct numerical simulation (DNS) and largeeddy simulation (LES) as well as for implicit LES (ILES) [11].…”
Section: Fluid Solversmentioning
confidence: 99%
“…Transporting the auxiliary variable rather than the field variable alone has significant benefits for computational accuracy and stability (Smolarkiewicz et al 2001, Smolarkiewicz andPrusa 2002). The resulting numerical equations represent a system semi-implicit with respect to potential temperature and the wind field.…”
Section: Model Highlightsmentioning
confidence: 99%