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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 4
Geosci. Model Dev., 11, 1497–1515, 2018
https://doi.org/10.5194/gmd-11-1497-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 1497–1515, 2018
https://doi.org/10.5194/gmd-11-1497-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 17 Apr 2018

Development and technical paper | 17 Apr 2018

Implicit–explicit (IMEX) Runge–Kutta methods for non-hydrostatic atmospheric models

David J. Gardner et al.
Data sets

Tempest+ARKode IMEX Tests David J. Gardner, Daniel R. Reynolds, Francois P. Hamon, Carol S. Woodward, Paul Ullrich, Jorge E. Guerra, Bryce Adelstein Lelbach, and Antonin Verlet Banide https://doi.org/10.5281/zenodo.1162309

Publications Copernicus
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Short summary
As the computational power of supercomputing systems increases, and models for simulating the fluid flow of the Earth's atmosphere operate at higher resolutions, new approaches for advancing these models in time will be necessary. In order to produce the best possible result in the least amount of time, we evaluate a number of splittings, methods, and solvers on two test cases. Based on these results, we identify the most accurate and efficient approaches for consideration in production models.
As the computational power of supercomputing systems increases, and models for simulating the...
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