Publication | Open Access
Large-eddy simulations with ClimateMachine v0.2.0: a new open-source code for atmospheric simulations on GPUs and CPUs
21
Citations
85
References
2022
Year
EngineeringClimate ModelingAtmospheric ModelEarth ScienceGpu ComputingAtmospheric ScienceNumerical SimulationClimate ProjectionModeling And SimulationParallel ComputingAtmospheric ModelingLarge Eddy SimulationClimatemachine V0.2.0MeteorologyLes CodesGeographyComputer EngineeringJulia LanguageLarge-scale SimulationClimate SystemClimate DynamicsClimatologyLarge-eddy SimulationsTurbulence ModelingNew Open-source CodeAtmospheric ProcessLes ConfigurationClimate ModellingHigh-resolution Modeling
Abstract. We introduce ClimateMachine, a new open-source atmosphere modeling framework which uses the Julia language and is designed to be scalable 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 (LESs). Here, we demonstrate the LES configuration of the atmosphere model in canonical benchmark cases and atmospheric flows using a total 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 modeling tool for limited-area LES flow configurations.
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