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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 11, issue 7
Geosci. Model Dev., 11, 2941–2953, 2018
https://doi.org/10.5194/gmd-11-2941-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 2941–2953, 2018
https://doi.org/10.5194/gmd-11-2941-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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Cited articles

Bey, I., Jacob, D. J., Yantosca, R. M., Logan, J. a., Field, B. D., Fiore, A. M., Li, Q., Liu, H. Y., Mickley, L. J., and Schultz, M. G.: Global modeling of tropospheric chemistry with assimilated meteorology: Model description and evaluation, J. Geophys. Res., 106, 23073, https://doi.org/10.1029/2001JD000807, 2001. 
Brasseur, G. P. and Jacob, D. K.: Modeling of Atmospheric Chemistry, Cambridge University Press, https://doi.org/10.1017/9781316544754, 2017. 
Eastham, S. D. and Jacob, D. J.: Limits on the ability of global Eulerian models to resolve intercontinental transport of chemical plumes, Atmos. Chem. Phys., 17, 2543–2553, https://doi.org/10.5194/acp-17-2543-2017, 2017. 
Eastham, S. D., Weisenstein, D. K., and Barrett, S. R. H.: Development and evaluation of the unified tropospheric–stratospheric chemistry extension (UCX) for the global chemistry-transport model GEOS-Chem, Atmos. Environ., 89, 52–63, 2014. 
Eastham, S. D., Long, M. S., Keller, C. A., Lundgren, E.h, Yantosca, R. M., Zhuang, J., and Jacob, D. J.: sdeastham/GCHP_v11-02c_Paper: GCHP v11-02c (Version v11-02c), Zenodo, https://doi.org/10.5281/zenodo.1290835, last access: 19 July 2018. 
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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.
Global atmospheric chemical transport models are crucial tools in atmospheric science, used to...
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