Articles | Volume 19, issue 20
https://doi.org/10.5194/gmd-19-10309-2026
© Author(s) 2026. 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-19-10309-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
29 Oct 2026
Development and technical paper |
| 29 Oct 2026
| 29 Oct 2026
Using a two-stage Rosenbrock solver to increase computational efficiency in the DOE's Exascale Earth System Model version 1 (E3SMv1)
Rong-You Chien
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, Tennessee, USA
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, Tennessee, USA
Integrated Computational Earth Sciences Group, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
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Short summary
We implemented a two-stage Rosenbrock solver (ROS2) in E3SMv1 and evaluated it with two atmospheric chemistry mechanisms. At a 180 s timestep, ROS2 reduced chemistry integration time by ~33% versus the original implicit solver on Cori/KNL CPUs, while maintaining stable one-year simulations and small ozone differences (≤1.03 ppb). Species-dependent differences in ozone, NO, NO2, and OH were small. Results support ROS2 as a lower-cost option, with further convergence and CPU/GPU testing needed.
We implemented a two-stage Rosenbrock solver (ROS2) in E3SMv1 and evaluated it with two...
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