Discontinuous Galerkin finite element discretization of a strongly anisotropic diffusion operator

The discretization of a diffusion equation with a strong anisotropy by a discontinuous Galerkin finite element method is investigated. This diffusion term is implemented in the tracer equation of an ocean model, thanks to a symmetric tensor that is composed of diapycnal and isopycnal diffusions. The...

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Bibliographic Details
Published in:International Journal for Numerical Methods in Fluids
Main Authors: Pestiaux, Alice, Melchior, S.A., Remacle, Jean-François, Kärnä, T., Fichefet, Thierry, Lambrechts, Jonathan
Other Authors: UCL - SST/ELI/ELIC - Earth & Climate, UCL - SST/IMMC/MEMA - Applied mechanics and mathematics
Format: Article in Journal/Newspaper
Language:English
Published: JohnWiley & Sons Ltd. 2014
Subjects:
Online Access:http://hdl.handle.net/2078.1/144729
https://doi.org/10.1002/fld.3900
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Summary:The discretization of a diffusion equation with a strong anisotropy by a discontinuous Galerkin finite element method is investigated. This diffusion term is implemented in the tracer equation of an ocean model, thanks to a symmetric tensor that is composed of diapycnal and isopycnal diffusions. The strong anisotropy comes from the difference of magnitude order between both diffusions. As the ocean model uses interior penalty terms to ensure numerical stability,a new penalty factor is required in order to correctly deal with the anisotropy of this diffusion. Two penalty factors from the literature are improved and established from the coercivity property. One of them takes into account the diffusion in the direction normal to the interface between the elements. After comparison, the latter is better because the spurious numerical diffusion is weaker than with the penalty factor proposed in the literature. It is computed with a transformed coordinate system in which the diffusivity tensor is diagonal, using its eigenvalue decomposition. Furthermore, this numerical scheme is validated with the method of manufactured solutions. It is finally applied to simulatethe evolution of temperature and salinity due to turbulent processes in an idealized Arctic Ocean.