Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2941-2018
https://doi.org/10.5194/gmd-11-2941-2018
Model description paper
 | 
24 Jul 2018
Model description paper |  | 24 Jul 2018

GEOS-Chem High Performance (GCHP v11-02c): a next-generation implementation of the GEOS-Chem chemical transport model for massively parallel applications

Sebastian D. Eastham, Michael S. Long, Christoph A. Keller, Elizabeth Lundgren, Robert M. Yantosca, Jiawei Zhuang, Chi Li, Colin J. Lee, Matthew Yannetti, Benjamin M. Auer, Thomas L. Clune, Jules Kouatchou, William M. Putman, Matthew A. Thompson, Atanas L. Trayanov, Andrea M. Molod, Randall V. Martin, and Daniel J. Jacob

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sebastian Eastham on behalf of the Authors (28 Jun 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (03 Jul 2018) by Gerd A. Folberth
RR by Anonymous Referee #1 (11 Jul 2018)
ED: Publish as is (11 Jul 2018) by Gerd A. Folberth
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Short summary
Global atmospheric chemical transport models are crucial tools in atmospheric science, used to address problems ranging from climate change to acid rain. GEOS-Chem High Performance (GCHP) is a new implementation of the widely used GEOS-Chem model, designed for massively parallel architectures. GCHP v11-02c is shown to be highly scalable from 6 to over 500 cores, enabling the routine simulation of global atmospheric chemistry from the surface to the stratopause at resolutions of ~50 km or finer.