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 4
Geosci. Model Dev., 11, 1665–1681, 2018
https://doi.org/10.5194/gmd-11-1665-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 1665–1681, 2018
https://doi.org/10.5194/gmd-11-1665-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 02 May 2018

Development and technical paper | 02 May 2018

Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0

Oliver Fuhrer et al.
Viewed  
Total article views: 5,103 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,302 1,724 77 5,103 85 57
  • HTML: 3,302
  • PDF: 1,724
  • XML: 77
  • Total: 5,103
  • BibTeX: 85
  • EndNote: 57
Views and downloads (calculated since 05 Oct 2017)
Cumulative views and downloads (calculated since 05 Oct 2017)
Viewed (geographical distribution)  
Total article views: 4,808 (including HTML, PDF, and XML) Thereof 4,782 with geography defined and 26 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)  
Latest update: 06 Dec 2019
Publications Copernicus
Download
Short summary
The best hope for reducing long-standing uncertainties in climate projections is through increasing the horizontal resolution of climate models to the kilometer scale. We establish a baseline of what it would take to do such simulations using an atmospheric model that has been adapted to run on a supercomputer accelerated with graphics processing units. To our knowledge this represents the first production-ready atmospheric model being run entirely on accelerators on this scale.
The best hope for reducing long-standing uncertainties in climate projections is through...
Citation