@article{c2ad64582c4149a7ba3c5757428e6908,
title = "Large-eddy simulations with ClimateMachine v0.2.0: A new open-source code for atmospheric simulations on GPUs and CPUs",
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",
note = "Funding Information: Acknowledgements. The computations presented here were conducted at the Resnick High-Performance Computing Center, a facility supported by the Resnick Sustainability Institute at the California Institute of Technology (formerly known as the Central HPC Cluster, with partial support by a grant from the Gordon and Betty Moore Foundation), and on the Google Cloud Platform with in-kind support by Google. We thank the Google team for their assistance with operations on the Google Cloud Platform. Funding Information: erosity of Eric and Wendy Schmidt by recommendation of the Schmidt Futures program and by the Paul G. Allen Family Foundation, Charles Trimble, the Audi Environmental Foundation, the Heising-Simons Foundation, and the National Science Foundation (grants AGS-1835860 and AGS-1835881). Additionally, Valentin Churavy was supported by the Defense Advanced Research Projects Agency (DARPA, agreement HR0011-20-9-0016) and by the NSF (grant OAC-1835443). Part of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Publisher Copyright: {\textcopyright} 2022 Copernicus GmbH. All rights reserved.",
year = "2022",
month = aug,
day = "12",
doi = "https://doi.org/10.5194/gmd-15-6259-2022",
language = "American English",
volume = "15",
pages = "6259--6284",
journal = "Geoscientific Model Development",
issn = "1991-959X",
publisher = "Copernicus Gesellschaft mbH",
number = "15",
}