Dimension Splitting and a Long Time-Step Multi-Dimensional Scheme for Atmospheric Transport
Yumeng Chen, Hilary Weller, Stephen Pring, James Shaw

TL;DR
This paper compares a dimensionally split advection scheme based on the Piecewise Parabolic Method with a multi-dimensional implicit scheme for atmospheric transport, analyzing their accuracy, stability, and computational cost on distorted meshes and long time-steps.
Contribution
It introduces a two-dimensional extension of a dimensionally split scheme and compares it with a multi-dimensional implicit scheme, highlighting their performance and computational efficiency.
Findings
Dimensionally split scheme is highly accurate on orthogonal meshes.
Accuracy decreases slightly with mesh distortions and long time-steps.
Multi-dimensional scheme is stable, insensitive to mesh distortions, and asymptotes to second-order accuracy.
Abstract
Dimensionally split advection schemes are attractive for atmospheric modelling due to their efficiency and accuracy in each spatial dimension. Accurate long time-steps can be achieved without significant cost using the flux-form semi-Lagrangian technique. The dimensionally split scheme used here is constructed from the one-dimensional Piecewise Parabolic Method and extended to two dimensions using COSMIC splitting. The dimensionally split scheme is compared with a genuinely multi-dimensional, method of lines scheme with implicit time-stepping which is stable for large Courant numbers. Two-dimensional advection test cases on Cartesian planes are proposed that avoid the complexities of a spherical domain or multi-panel meshes. These are solid body rotation, horizontal advection over orography and deformational flow. The test cases use distorted meshes either to represent sloping terrain…
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Taxonomy
TopicsMeteorological Phenomena and Simulations · Computational Fluid Dynamics and Aerodynamics · Wind and Air Flow Studies
