Articles | Volume 15, issue 15
https://doi.org/10.5194/gmd-15-6259-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6259-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
12 Aug 2022
Model description paper |
| 12 Aug 2022
| 12 Aug 2022
Large-eddy simulations with ClimateMachine v0.2.0: a new open-source code for atmospheric simulations on GPUs and CPUs
California Institute of Technology, Pasadena, California, USA
Yassine Tissaoui
New Jersey Institute of Technology, Newark, New Jersey, USA
Simone Marras
New Jersey Institute of Technology, Newark, New Jersey, USA
Zhaoyi Shen
California Institute of Technology, Pasadena, California, USA
Charles Kawczynski
California Institute of Technology, Pasadena, California, USA
Simon Byrne
California Institute of Technology, Pasadena, California, USA
Kiran Pamnany
California Institute of Technology, Pasadena, California, USA
Maciej Waruszewski
Naval Postgraduate School, Monterey, California, USA
Thomas H. Gibson
University of Illinois Urbana–Champaign, Urbana–Champaign, Illinois, USA
Jeremy E. Kozdon
Naval Postgraduate School, Monterey, California, USA
Valentin Churavy
Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
Lucas C. Wilcox
Naval Postgraduate School, Monterey, California, USA
Francis X. Giraldo
Naval Postgraduate School, Monterey, California, USA
Tapio Schneider
California Institute of Technology, Pasadena, California, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
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Cited
11 citations as recorded by crossref.
- A performance study of horizontally explicit vertically implicit (HEVI) time-integrators for non-hydrostatic atmospheric models F. Giraldo et al. https://doi.org/10.1016/j.jcp.2024.113275
- A discontinuous Galerkin approach for atmospheric flows with implicit condensation S. Doppler et al. https://doi.org/10.1016/j.jcp.2023.112713
- Efficient spectral element method for the Euler equations on unbounded domains Y. Tissaoui et al. https://doi.org/10.1016/j.amc.2024.129080
- A Posteriori Learning for Quasi‐Geostrophic Turbulence Parametrization H. Frezat et al. https://doi.org/10.1029/2022MS003124
- SedTrace 1.0: a Julia-based framework for generating and running reactive-transport models of marine sediment diagenesis specializing in trace elements and isotopes J. Du https://doi.org/10.5194/gmd-16-5865-2023
- LEX v1.6.0: a new large-eddy simulation model in JAX with GPU acceleration and automatic differentiation X. Zhu et al. https://doi.org/10.5194/gmd-19-1103-2026
- Using Different Classic Turbulence Closure Models to Assess Salt and Temperature Modelling in a Lagunar System: A Sensitivity Study J. Lopes https://doi.org/10.3390/jmse10111750
- A Non‐Column Based, Fully Unstructured Implementation of Kessler's Microphysics With Warm Rain Using Continuous and Discontinuous Spectral Elements Y. Tissaoui et al. https://doi.org/10.1029/2022MS003283
- Development of a high-order global dynamical core using the discontinuous Galerkin method for an atmospheric large-eddy simulation (LES) and proposal of test cases: SCALE-DG v0.8.0 Y. Kawai & H. Tomita https://doi.org/10.5194/gmd-18-725-2025
- A comparative computational study of different formulations of the compressible Euler equations for mesoscale atmospheric flows in a finite volume framework M. Girfoglio et al. https://doi.org/10.1016/j.compfluid.2024.106510
- Accelerating Large‐Eddy Simulations of Clouds With Tensor Processing Units S. Chammas et al. https://doi.org/10.1029/2023MS003619
11 citations as recorded by crossref.
- A performance study of horizontally explicit vertically implicit (HEVI) time-integrators for non-hydrostatic atmospheric models F. Giraldo et al. https://doi.org/10.1016/j.jcp.2024.113275
- A discontinuous Galerkin approach for atmospheric flows with implicit condensation S. Doppler et al. https://doi.org/10.1016/j.jcp.2023.112713
- Efficient spectral element method for the Euler equations on unbounded domains Y. Tissaoui et al. https://doi.org/10.1016/j.amc.2024.129080
- A Posteriori Learning for Quasi‐Geostrophic Turbulence Parametrization H. Frezat et al. https://doi.org/10.1029/2022MS003124
- SedTrace 1.0: a Julia-based framework for generating and running reactive-transport models of marine sediment diagenesis specializing in trace elements and isotopes J. Du https://doi.org/10.5194/gmd-16-5865-2023
- LEX v1.6.0: a new large-eddy simulation model in JAX with GPU acceleration and automatic differentiation X. Zhu et al. https://doi.org/10.5194/gmd-19-1103-2026
- Using Different Classic Turbulence Closure Models to Assess Salt and Temperature Modelling in a Lagunar System: A Sensitivity Study J. Lopes https://doi.org/10.3390/jmse10111750
- A Non‐Column Based, Fully Unstructured Implementation of Kessler's Microphysics With Warm Rain Using Continuous and Discontinuous Spectral Elements Y. Tissaoui et al. https://doi.org/10.1029/2022MS003283
- Development of a high-order global dynamical core using the discontinuous Galerkin method for an atmospheric large-eddy simulation (LES) and proposal of test cases: SCALE-DG v0.8.0 Y. Kawai & H. Tomita https://doi.org/10.5194/gmd-18-725-2025
- A comparative computational study of different formulations of the compressible Euler equations for mesoscale atmospheric flows in a finite volume framework M. Girfoglio et al. https://doi.org/10.1016/j.compfluid.2024.106510
- Accelerating Large‐Eddy Simulations of Clouds With Tensor Processing Units S. Chammas et al. https://doi.org/10.1029/2023MS003619
Saved (final revised paper)
Latest update: 09 Jun 2026
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.
ClimateMachine is a new open-source Julia-language atmospheric modeling code. We describe its...
