Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 10
Articles | Volume 14, issue 10
https://doi.org/10.5194/gmd-14-5977-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-5977-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 10
Development and technical paper
 | 
06 Oct 2021
Development and technical paper |  | 06 Oct 2021

Grid-stretching capability for the GEOS-Chem 13.0.0 atmospheric chemistry model

Liam Bindle, Randall V. Martin, Matthew J. Cooper, Elizabeth W. Lundgren, Sebastian D. Eastham, Benjamin M. Auer, Thomas L. Clune, Hongjian Weng, Jintai Lin, Lee T. Murray, Jun Meng, Christoph A. Keller, William M. Putman, Steven Pawson, and Daniel J. Jacob

Viewed

Total article views: 2,868 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,932 889 47 2,868 23 30
  • HTML: 1,932
  • PDF: 889
  • XML: 47
  • Total: 2,868
  • BibTeX: 23
  • EndNote: 30
Views and downloads (calculated since 16 Dec 2020)
Cumulative views and downloads (calculated since 16 Dec 2020)

Viewed (geographical distribution)

Total article views: 2,868 (including HTML, PDF, and XML) Thereof 2,632 with geography defined and 236 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 09 Jun 2023
Download
Short summary
Atmospheric chemistry models like GEOS-Chem are versatile tools widely used in air pollution and climate studies. The simulations used in such studies can be very computationally demanding, and thus it is useful if the model can simulate a specific geographic region at a higher resolution than the rest of the globe. Here, we implement, test, and demonstrate a new variable-resolution capability in GEOS-Chem that is suitable for simulations conducted on supercomputers.
Read more