Adaptive mesh refinement with spectral accuracy for magnetohydrodynamics in two space dimensions

We examine the effect of accuracy of high-order spectral element methods, with or without adaptive mesh refinement (AMR), in the context of a classical configuration of magnetic reconnection in two space dimensions, the so-called Orszag-Tang (OT) vortex made up of a magnetic X-point centred on a stagnation point of the velocity. A recently developed spectral-element adaptive refinement incompressible magnetohydrodynamic (MHD) code is applied to simulate this problem. The MHD solver is explicit, and uses the Elsässer formulation on high-order elements. It automatically takes advantage of the adaptive grid mechanics that have been described elsewhere in the fluid context (Rosenberg et al 2006 J. Comput. Phys. 215 59–80); the code allows both statically refined and dynamically refined grids. Tests of the algorithm using analytic solutions are described, and comparisons of the OT solutions with pseudo-spectral computations are performed. We demonstrate for moderate Reynolds numbers that the algorithms using both static and refined grids reproduce the pseudo-spectral solutions quite well. We show that low-order truncation--even with a comparable number of global degrees of freedom--fails to correctly model some strong (sup-norm) quantities in this problem, even though it satisfies adequately the weak (integrated) balance diagnostics.

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Copyright 2007 IOP Publishing Ltd and Deutsche Physikalische Gesellschaft.


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Author Rosenberg, Duane L.
Pouquet, Annick
Mininni, Pablo D.
Publisher UCAR/NCAR - Library
Publication Date 2007-08-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2025-07-17T17:00:57.045143
Metadata Record Identifier edu.ucar.opensky::articles:6810
Metadata Language eng; USA
Suggested Citation Rosenberg, Duane L., Pouquet, Annick, Mininni, Pablo D.. (2007). Adaptive mesh refinement with spectral accuracy for magnetohydrodynamics in two space dimensions. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d7gq6xzq. Accessed 09 August 2025.

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