The scaling and skewness of optimally transported meshes on the sphere
Chris J. Budd, Andrew T. T. McRae, Colin J. Cotter

TL;DR
This paper introduces a robust optimal transport-based method for generating adaptive, regular, and feature-aligned meshes on the sphere, demonstrating improved regularity due to curvature effects and applicability to geophysical modeling.
Contribution
It proposes a novel mesh generation approach combining local cell size prescription with optimal transport, specifically tailored for spherical geometries, enhancing mesh regularity and alignment.
Findings
Meshes on the sphere are more regular than on the plane due to curvature.
The method produces meshes with minimal skewness and good alignment to features.
Numerical examples validate the approach's effectiveness for practical applications.
Abstract
In the context of numerical solution of PDEs, dynamic mesh redistribution methods (r-adaptive methods) are an important procedure for increasing the resolution in regions of interest, without modifying the connectivity of the mesh. Key to the success of these methods is that the mesh should be sufficiently refined (locally) and flexible in order to resolve evolving solution features, but at the same time not introduce errors through skewness and lack of regularity. Some state-of-the-art methods are bottom-up in that they attempt to prescribe both the local cell size and the alignment to features of the solution. However, the resulting problem is overdetermined, necessitating a compromise between these conflicting requirements. An alternative approach, described in this paper, is to prescribe only the local cell size and augment this an optimal transport condition to provide global…
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