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arXiv · 2110.00853

Large-eddy simulations with ClimateMachine: a new open-source code for atmospheric simulations on GPUs and CPUs

Akshay Sridhar·Yassine Tissaoui·Simone Marras·Zhaoyi Shen·Charles Kawczynski·Simon Byrne·Kiran Pamnany·Maciej Waruszewski·Thomas H. Gibson·Jeremy E. Kozdon·Valentin Churavy·Lucas C. Wilcox·Francis X. Giraldo·Tapio Schneider
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Abstract

We introduce ClimateMachine, a new open-source atmosphere modeling framework using the Julia language to be performance portable on central processing units (CPUs) and graphics processing units (GPUs). ClimateMachine uses a common framework both for coarser-resolution global simulations and for high-resolution, limited-area large-eddy simulations (LES). Here, we demonstrate the LES configuration of the atmosphere model in canonical benchmark cases and atmospheric flows, using an energy-conserving nodal discontinuous-Galerkin (DG) discretization of the governing equations. Resolution dependence, conservation characteristics and scaling metrics are examined in comparison with existing LES codes. They demonstrate the utility of ClimateMachine as a modelling tool for limited-area LES flow configurations.

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Akshay Sridhar, Yassine Tissaoui, Simone Marras, Zhaoyi Shen, Charles Kawczynski, Simon Byrne, Kiran Pamnany, Maciej Waruszewski, Thomas H. Gibson, Jeremy E. Kozdon, Valentin Churavy, Lucas C. Wilcox, Francis X. Giraldo, Tapio Schneider. 2021-10-02. Large-eddy simulations with ClimateMachine: a new open-source code for atmospheric simulations on GPUs and CPUs. https://doi.org/10.5194/gmd-15-6259-2022

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