Articles | Volume 11, issue 7
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


Total article views: 4,082 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,347 1,672 63 4,082 97 98
  • HTML: 2,347
  • PDF: 1,672
  • XML: 63
  • Total: 4,082
  • BibTeX: 97
  • EndNote: 98
Views and downloads (calculated since 08 Mar 2018)
Cumulative views and downloads (calculated since 08 Mar 2018)

Viewed (geographical distribution)

Total article views: 4,082 (including HTML, PDF, and XML) Thereof 3,729 with geography defined and 353 with unknown origin.
Country # Views %
  • 1


Saved (preprint)

Latest update: 31 May 2023
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.