A Lagrangian method for solving the spherical shallow water equations using power diagrams
Philip Caplan, Otis Milliken, Toby Pouler, Zeyi Tong, Col McDermott, Sam Millay

TL;DR
This paper introduces a novel Lagrangian method using spherical power diagrams for simulating the spherical shallow water equations, achieving high efficiency and conservation without artificial viscosity, suitable for global atmospheric modeling.
Contribution
A new Lagrangian approach employing spherical power diagrams and optimal transport for stable, efficient simulation of the shallow water equations on a sphere.
Findings
Spherical Voronoi diagrams of 100 million sites computed in under 2 minutes.
Method conserves momentum and energy comparable to existing Lagrangian approaches.
No artificial viscosity needed for stability.
Abstract
Numerical simulations of the air in the atmosphere and water in the oceans are essential for numerical weather prediction. The state-of-the-art for performing these fluid simulations relies on an Eulerian viewpoint, in which the fluid domain is discretized into a mesh, and the governing equations describe the fluid motion as it passes through each cell of the mesh. However, it is unclear whether a Lagrangian viewpoint, in which the fluid is discretized by a collection of particles, can outperform Eulerian simulations in global atmospheric simulations. To date, Lagrangian approaches have shown promise, but tend to produce smoother solutions. In this work, a new Lagrangian method is developed to simulate the atmosphere in which particles are represented with spherical power cells. We introduce an efficient algorithm for computing these cells which are then used to discretize the spherical…
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Taxonomy
TopicsOceanographic and Atmospheric Processes · Meteorological Phenomena and Simulations · Ocean Waves and Remote Sensing
