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

Autor: A. Sridhar, Y. Tissaoui, S. Marras, Z. Shen, C. Kawczynski, S. Byrne, K. Pamnany, M. Waruszewski, T. H. Gibson, J. E. Kozdon, V. Churavy, L. C. Wilcox, F. X. Giraldo, T. Schneider
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Geoscientific Model Development, Vol 15, Pp 6259-6284 (2022)
Druh dokumentu: article
ISSN: 1991-959X
1991-9603
DOI: 10.5194/gmd-15-6259-2022
Popis: 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.
Databáze: Directory of Open Access Journals
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