Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
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.
Viewed  
Total article views: 1,642 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,005 616 21 1,642 32 40
  • HTML: 1,005
  • PDF: 616
  • XML: 21
  • Total: 1,642
  • BibTeX: 32
  • EndNote: 40
Views and downloads (calculated since 08 Mar 2018)
Cumulative views and downloads (calculated since 08 Mar 2018)
Viewed (geographical distribution)  
Total article views: 1,562 (including HTML, PDF, and XML) Thereof 1,545 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
No discussed metrics found.
Latest update: 22 Aug 2019
Publications Copernicus
Download
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...
Citation