Helmholtz preconditioning for the compressible Euler equations using mixed finite elements with Lorenz staggering

Abstract Implicit solvers for atmospheric models are often accelerated via the solution of a preconditioned system. For block preconditioners, this typically involves the factorisation of the (approximate) Jacobian resulting from linearization of the coupled system into a Helmholtz equation for some function of the pressure. Here we present a preconditioner for the compressible Euler equations with a flux‐form representation of the potential temperature on the Lorenz grid using mixed finite elements. This formulation allows for spatial discretisations that conserve both energy and potential temperature variance. By introducing the dry thermodynamic entropy as an auxiliary variable for the solution of the algebraic system, the resulting preconditioner is shown to have a similar block structure to an existing preconditioner for the material‐form transport of potential temperature on the Charney–Phillips grid. This new formulation is also shown to be more efficient and stable than both the material‐form transport of potential temperature on the Charney–Phillips grid and a previous Helmholtz preconditioner for the flux‐form transport of density‐weighted potential temperature on the Lorenz grid for a 1D thermal bubble configuration. The new preconditioner is verified further against standard two‐dimensional test cases in a vertical slice geometry.

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Publication Details

Journal
Quarterly Journal of the Royal Meteorological Society
Published
2024-12-03
DOI
https://doi.org/10.1002/qj.4887
Citations
1
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
0.37

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article

Helmholtz preconditioning for the compressible Euler equations using mixed finite elements with Lorenz staggering

Kieran Ricardo, Alberto F. Martı́n, David John Lee
1 citations
Quarterly Journal of the Royal Meteorological Society
Computational Fluid Dynamics and Aerodynamics
0.37
article

Helmholtz preconditioning for the compressible Euler equations using mixed finite elements with Lorenz staggering

Kieran Ricardo, Alberto F. Martı́n, David John Lee
article en
1 citations

Abstract

Abstract Implicit solvers for atmospheric models are often accelerated via the solution of a preconditioned system. For block preconditioners, this typically involves the factorisation of the (approximate) Jacobian resulting from linearization of the coupled system into a Helmholtz equation for some function of the pressure. Here we present a preconditioner for the compressible Euler equations with a flux‐form representation of the potential temperature on the Lorenz grid using mixed finite elements. This formulation allows for spatial discretisations that conserve both energy and potential temperature variance. By introducing the dry thermodynamic entropy as an auxiliary variable for the solution of the algebraic system, the resulting preconditioner is shown to have a similar block structure to an existing preconditioner for the material‐form transport of potential temperature on the Charney–Phillips grid. This new formulation is also shown to be more efficient and stable than both the material‐form transport of potential temperature on the Charney–Phillips grid and a previous Helmholtz preconditioner for the flux‐form transport of density‐weighted potential temperature on the Lorenz grid for a 1D thermal bubble configuration. The new preconditioner is verified further against standard two‐dimensional test cases in a vertical slice geometry.

Quarterly Journal of the Royal Meteorological SocietyVol. 151(766)
Australian National University (AU), Bureau of Meteorology (AU), Australian Mathematical Sciences Institute (AU)
Bureau of Meteorology, Australian Government
Affordable and clean energy
Openalex Percentile: Top 40%
Computational Fluid Dynamics and Aerodynamics
0.37
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Helmholtz preconditioning for the compressible Euler equations using mixed finite elements with Lorenz staggering — Kieran Ricardo, Alberto F. Martı́n, et al. · Quarterly Journal of the Royal Meteorological Society (2024) | TGRS Research Map | TGRS