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Large-Eddy Simulations of Magnetohydrodynamic Turbulence in Heliophysics and Astrophysics

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arxiv 1505.01808 v2 pith:GGIE3QUP submitted 2015-05-07 astro-ph.SR physics.comp-phphysics.flu-dynphysics.plasm-phphysics.space-ph

classification astro-ph.SRphysics.comp-phphysics.flu-dynphysics.plasm-phphysics.space-ph
keywords astrophysicsnumericalturbulenceapplicationsapproachcomputingconsiderexplicitly
verification ladder T0 review T1 audit T2 compute T3 formal
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We live in an age in which high-performance computing is transforming the way we do science. Previously intractable problems are now becoming accessible by means of increasingly realistic numerical simulations. One of the most enduring and most challenging of these problems is turbulence. Yet, despite these advances, the extreme parameter regimes encountered in space physics and astrophysics (as in atmospheric and oceanic physics) still preclude direct numerical simulation. Numerical models must take a Large Eddy Simulation (LES) approach, explicitly computing only a fraction of the active dynamical scales. The success of such an approach hinges on how well the model can represent the subgrid-scales (SGS) that are not explicitly resolved. In addition to the parameter regime, heliophysical and astrophysical applications must also face an equally daunting challenge: magnetism. The presence of magnetic fields in a turbulent, electrically conducting fluid flow can dramatically alter the coupling between large and small scales, with potentially profound implications for LES/SGS modeling. In this review article, we summarize the state of the art in LES modeling of turbulent magnetohydrodynamic (MHD) flows. After discussing the nature of MHD turbulence and the small-scale processes that give rise to energy dissipation, plasma heating, and magnetic reconnection, we consider how these processes may best be captured within an LES/SGS framework. We then consider several specific applications in heliophysics and astrophysics, assessing triumphs, challenges, and future directions.

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Cited by 3 Pith papers

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  3. Connecting mean-field theory with dynamo simulations

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