Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 1
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.
https://doi.org/10.5194/gmd-11-305-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 11, issue 1
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

Karen Yu, Christoph A. Keller, Daniel J. Jacob, Andrea M. Molod, Sebastian D. Eastham, and Michael S. Long

Viewed

Total article views: 5,461 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,322 2,020 119 5,461 166 203
  • HTML: 3,322
  • PDF: 2,020
  • XML: 119
  • Total: 5,461
  • BibTeX: 166
  • EndNote: 203
Views and downloads (calculated since 06 Jul 2017)
Cumulative views and downloads (calculated since 06 Jul 2017)

Viewed (geographical distribution)

Total article views: 5,461 (including HTML, PDF, and XML) Thereof 5,174 with geography defined and 287 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
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.
Read more
Share