Extrapolated Multirate Methods for Hyperbolic Partial Differential Equations

Abstract

Within atmospheric earth system models, accurately resolving the various physical multi-scale processes is critical. For example, the single-layered shallow water equations are widely used to model ocean waves in shallow depth, which contain both fast gravity and slow advective waves. In this dissertation we describe the development of an extrapolated multirate time-integration scheme using explicit Runge-Kutta methods for advancing the numerical solutions of hyperbolic partial differential equations with multiple processes. Our time-integration technique is based on Richardson extrapolation and will be tested using high-order accurate continuous and discontinuous Galerkin methods with an upwind-biased Rusanov flux. The benefit in developing an extrapolated multirate time-integration method is that we can solve the fast and slow processes using different time-steps with high order accuracy. Results are shown for the non-linear shallow water equations in conservation form and the non-hydrostatic, atmospheric Euler equations. We further analyze and compare the extrapolated multirate method against other single-rate and multirate time-splitting schemes for problems with multiple time scales.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2021
Accession Number
AD1164391

Entities

People

  • Patrick Mugg

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Applied Mathematics
  • Boundary Value Problems
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Differential Equations
  • Equations
  • Euler Equations
  • Galerkin Method
  • Mathematics
  • Numerical Analysis
  • Operations Research
  • Partial Differential Equations
  • Runge Kutta Method
  • Shallow Water
  • Smoothing (Mathematics)
  • Three Dimensional
  • Two Dimensional

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers