Articles | Volume 11, issue 1
https://doi.org/10.5194/gmd-11-305-2018
© Author(s) 2018. 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-11-305-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
23 Jan 2018
Development and technical paper |
| 23 Jan 2018
Errors and improvements in the use of archived meteorological data for chemical transport modeling: an analysis using GEOS-Chem v11-01 driven by GEOS-5 meteorology
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Christoph A. Keller
Universities Space Research Association, Columbia, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Daniel J. Jacob
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
Andrea M. Molod
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Sebastian D. Eastham
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Michael S. Long
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
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Latest update: 25 Dec 2024
Short summary
Global simulations of atmospheric chemistry are generally conducted with off-line chemical transport models (CTMs) driven by archived meteorological data from general circulation models (GCMs). The off-line approach has the advantages of simplicity and expediency, but it is unable to reproduce the GCM transport exactly. We investigate the cascade of errors associated with the off-line approach using the GEOS-5 GCM and GEOS-Chem CTM and discuss improvements in the use of archived meteorology.
Global simulations of atmospheric chemistry are generally conducted with off-line chemical...
