English

Multirate Partitioned Runge-Kutta Methods for Coupled Navier-Stokes Equations

Numerical Analysis 2023-04-12 v2 Numerical Analysis Computational Physics Fluid Dynamics

Abstract

Earth system models are complex integrated models of atmosphere, ocean, sea ice, and land surface. Coupling the components can be a significant challenge due to the difference in physics, temporal, and spatial scales. This study explores new coupling strategies for the fluid-fluid interaction problem based on multirate partitioned Runge-Kutta methods. We consider compressible Navier-Stokes equations with gravity coupled through a rigid-lid interface. Our large-scale numerical experiments reveal that multirate partitioned Runge-Kutta coupling schemes (1) can conserve total mass; (2) have second-order accuracy in time; and (3) provide favorable strong- and weak-scaling performance on modern computing architectures. We also show that the speedup factors of multirate partitioned Runge-Kutta methods match theoretical expectations over their base (single-rate) method.

Keywords

Cite

@article{arxiv.2202.11890,
  title  = {Multirate Partitioned Runge-Kutta Methods for Coupled Navier-Stokes Equations},
  author = {Shinhoo Kang and Alp Dener and Aidan Hamilton and Hong Zhang and Emil M. Constantinescu and Robert L. Jacob},
  journal= {arXiv preprint arXiv:2202.11890},
  year   = {2023}
}

Comments

12 figures, 9 tables, 25 pages

R2 v1 2026-06-24T09:52:05.338Z