Efficient and scalable atmospheric dynamics simulations using non-conforming meshes

Abstract

We present the massively parallel performance of a $h$-adaptive solver for atmosphere dynamics that allows for non-conforming mesh refinement. The numerical method is based on a Discontinuous Galerkin (DG) spatial discretization, highly scalable thanks to its data locality properties, and on a second order Implicit-Explicit Runge-Kutta (IMEX-RK) method for time discretization, particularly well suited for low Mach number flows. Simulations with non-conforming meshes for flows over orography can increase the accuracy of the local flow description without affecting the larger scales, which can be solved on coarser meshes. We show that the local refining procedure has no significant impact on the parallel performance and, therefore, both efficiency and scalability can be achieved in this framework.

arXiv admin note: text overlap with arXiv:2402.07759

References in corpus (4)

• An efficient IMEX-DG solver for the compressible Navier-Stokes equations for non-ideal gases
• An IMEX-DG solver for atmospheric dynamics simulations with adaptive mesh refinement
• Robust and accurate simulations of flows over orography using non-conforming meshes
• Impact of curved elements for flows over orography with a Discontinuous Galerkin scheme

Cited by in corpus (1)

• Improving the scalability of a high-order atmospheric dynamics solver based on the deal.II library