Articles | Volume 15, issue 15
Geosci. Model Dev., 15, 6259–6284, 2022
https://doi.org/10.5194/gmd-15-6259-2022
Geosci. Model Dev., 15, 6259–6284, 2022
https://doi.org/10.5194/gmd-15-6259-2022
Model description paper
12 Aug 2022
Model description paper | 12 Aug 2022

Large-eddy simulations with ClimateMachine v0.2.0: a new open-source code for atmospheric simulations on GPUs and CPUs

Akshay Sridhar et al.

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Cited articles

Abdi, D. S., Giraldo, F. X., Constantinescu, E., Lester III, C., Wilcox, L., and Warburton, T.: Acceleration of the Implicit-Explicit Non-Hydrostatic Unified Model of the Atmosphere (NUMA) on Manycore Processors, Int. J. High Perform. C., 33, 242–267, https://doi.org/10.1177/1094342017732395, 2017a. a
Abdi, D. S., Wilcox, L. C., Warburton, T. C., and Giraldo, F. X.: A GPU-accelerated continuous and discontinuous Galerkin non-hydrostatic atmospheric model, Int. J. High Perform. C., 33, 81–109, https://doi.org/10.1177/1094342017694427, 2017b. a, b, c, d, e
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Balaji, V.: Climbing down Charney's ladder: machine learning and the post-Dennard era of computational climate science, Philos. T. Roy. Soc. A, 379, 20200085, https://doi.org/10.1098/rsta.2020.0085, 2021. a
Bao, L., Klöfkorn, R., and Nair, R. D.: Horizontally Explicit and Vertically Implicit (HEVI) Time Discretization Scheme for a Discontinuous Galerkin Nonhydrostatic Model, Mon. Weather Rev., 143, 972–990, https://doi.org/10.1175/MWR-D-14-00083.1, 2015. a
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Short summary
ClimateMachine is a new open-source Julia-language atmospheric modeling code. We describe its limited-area configuration and the model equations, and we demonstrate applicability through benchmark problems, including atmospheric flow in the shallow cumulus regime. We show that the discontinuous Galerkin numerics and model equations allow global conservation of key variables (up to sources and sinks). We assess CPU strong scaling and GPU weak scaling to show its suitability for large simulations.