Articles | Volume 8, issue 3
https://doi.org/10.5194/gmd-8-595-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-8-595-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
13 Mar 2015
Model description paper |
| 13 Mar 2015
Development of a grid-independent GEOS-Chem chemical transport model (v9-02) as an atmospheric chemistry module for Earth system models
M. S. Long
CORRESPONDING AUTHOR
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
R. Yantosca
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
J. E. Nielsen
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
Science Systems and Applications Inc., Lanham, MD, USA
C. A. Keller
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
A. da Silva
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
M. P. Sulprizio
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
S. Pawson
Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
D. J. Jacob
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
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Saved (final revised paper)
Latest update: 21 Nov 2024
Short summary
This paper presents results from the modularization of the GEOS-Chem chemical transport model, and its coupling as the chemical operator within the NASA-GMAO GEOS-5 Earth system model (ESM). The key findings are that chemistry within the modular GEOS-Chem system shows consistent, high strong-scaling properties across the range of distributed processors, transport is the limiting component prohibiting efficient scalability, and GEOS-Chem is able to generate suitable chemical results in an ESM.
This paper presents results from the modularization of the GEOS-Chem chemical transport model,...
