Large-eddy simulations with ClimateMachine v0.2.0: 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

doi:10.5194/gmd-15-6259-2022

Large-eddy simulations with ClimateMachine v0.2.0: 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

Mechanical and Industrial Engr

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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.

Original language	English (US)
Pages (from-to)	6259-6284
Number of pages	26
Journal	Geoscientific Model Development
Volume	15
Issue number	15
DOIs	https://doi.org/10.5194/gmd-15-6259-2022
State	Published - Aug 12 2022

All Science Journal Classification (ASJC) codes

Modeling and Simulation
General Earth and Planetary Sciences

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10.5194/gmd-15-6259-2022

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Sridhar, A., Tissaoui, Y., Marras, S., Shen, Z., Kawczynski, C., Byrne, S., Pamnany, K., Waruszewski, M., Gibson, T. H., Kozdon, J. E., Churavy, V., Wilcox, L. C., Giraldo, F. X., & Schneider, T. (2022). Large-eddy simulations with ClimateMachine v0.2.0: A new open-source code for atmospheric simulations on GPUs and CPUs. Geoscientific Model Development, 15(15), 6259-6284. https://doi.org/10.5194/gmd-15-6259-2022

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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.",

author = "Akshay Sridhar and Yassine Tissaoui and Simone Marras and Zhaoyi Shen and Charles Kawczynski and Simon Byrne and Kiran Pamnany and MacIej Waruszewski and Gibson, {Thomas H.} and Kozdon, {Jeremy E.} and Valentin Churavy and Wilcox, {Lucas C.} and Giraldo, {Francis X.} and Tapio Schneider",

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Sridhar, A, Tissaoui, Y, Marras, S, Shen, Z, Kawczynski, C, Byrne, S, Pamnany, K, Waruszewski, M, Gibson, TH, Kozdon, JE, Churavy, V, Wilcox, LC, Giraldo, FX & Schneider, T 2022, 'Large-eddy simulations with ClimateMachine v0.2.0: A new open-source code for atmospheric simulations on GPUs and CPUs', Geoscientific Model Development, vol. 15, no. 15, pp. 6259-6284. https://doi.org/10.5194/gmd-15-6259-2022

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T2 - A new open-source code for atmospheric simulations on GPUs and CPUs

AU - Sridhar, Akshay

AU - Tissaoui, Yassine

AU - Marras, Simone

AU - Shen, Zhaoyi

AU - Kawczynski, Charles

AU - Byrne, Simon

AU - Pamnany, Kiran

AU - Waruszewski, MacIej

AU - Gibson, Thomas H.

AU - Kozdon, Jeremy E.

AU - Churavy, Valentin

AU - Wilcox, Lucas C.

AU - Giraldo, Francis X.

AU - Schneider, Tapio

PY - 2022/8/12

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

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