Thermodynamic Consistency and Structure-Preservation in Summation by Parts Methods for the Moist Compressible Euler Equations

Moist thermodynamics is a fundamental driver of atmospheric dynamics across all scales, making accurate modeling of these processes essential for reliable weather forecasts and climate change projections. However, atmospheric models often make a variety of inconsistent approximations in representing moist thermodynamics. These inconsistencies can introduce spurious sources and sinks of energy, potentially compromising the integrity of the models. Here, we present a thermodynamically consistent and structure preserving formulation of the moist compressible Euler equations. When discretised with a summation by parts method, our spatial discretisation conserves: mass, water, entropy, and energy. These properties are achieved by discretising a skew symmetric form of the moist compressible Euler equations, using entropy as a prognostic variable, and the summation-by-parts property of discrete derivative operators. Additionally, we derive a discontinuous Galerkin spectral element method with energy and tracer variance stable numerical fluxes, and experimentally verify our theoretical results through numerical simulations.

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Publication Details

Journal
SIAM Journal on Scientific Computing
Published
2026-06-17
DOI
https://doi.org/10.1137/25m174718x
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
preprint
Field-Weighted Citation Impact
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preprint

Thermodynamic Consistency and Structure-Preservation in Summation by Parts Methods for the Moist Compressible Euler Equations

Kieran Ricardo, Kenneth Duru, David Lee
SIAM Journal on Scientific Computing
Computational Fluid Dynamics and Aerodynamics
preprint

Thermodynamic Consistency and Structure-Preservation in Summation by Parts Methods for the Moist Compressible Euler Equations

Kieran Ricardo, Kenneth Duru, David Lee
preprint en

Abstract

Moist thermodynamics is a fundamental driver of atmospheric dynamics across all scales, making accurate modeling of these processes essential for reliable weather forecasts and climate change projections. However, atmospheric models often make a variety of inconsistent approximations in representing moist thermodynamics. These inconsistencies can introduce spurious sources and sinks of energy, potentially compromising the integrity of the models. Here, we present a thermodynamically consistent and structure preserving formulation of the moist compressible Euler equations. When discretised with a summation by parts method, our spatial discretisation conserves: mass, water, entropy, and energy. These properties are achieved by discretising a skew symmetric form of the moist compressible Euler equations, using entropy as a prognostic variable, and the summation-by-parts property of discrete derivative operators. Additionally, we derive a discontinuous Galerkin spectral element method with energy and tracer variance stable numerical fluxes, and experimentally verify our theoretical results through numerical simulations.

SIAM Journal on Scientific ComputingVol. 48(3)
Australian National University (AU), Bureau of Meteorology (AU), The University of Texas at El Paso (US), Australian Mathematical Sciences Institute (AU)
Openalex Percentile: Top 100%
Computational Fluid Dynamics and Aerodynamics
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