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 12, issue 3
Geosci. Model Dev., 12, 879-892, 2019
https://doi.org/10.5194/gmd-12-879-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 12, 879-892, 2019
https://doi.org/10.5194/gmd-12-879-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Methods for assessment of models 05 Mar 2019

Methods for assessment of models | 05 Mar 2019

DCMIP2016: the splitting supercell test case

Colin M. Zarzycki et al.
Viewed  
Total article views: 1,170 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
890 266 14 1,170 20 11
  • HTML: 890
  • PDF: 266
  • XML: 14
  • Total: 1,170
  • BibTeX: 20
  • EndNote: 11
Views and downloads (calculated since 03 Aug 2018)
Cumulative views and downloads (calculated since 03 Aug 2018)
Viewed (geographical distribution)  
Total article views: 1,054 (including HTML, PDF, and XML) Thereof 1,046 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved (final revised paper)  
No saved metrics found.
Saved (discussion paper)  
No saved metrics found.
Discussed (final revised paper)  
No discussed metrics found.
Discussed (discussion paper)  
Latest update: 26 Jun 2019
Publications Copernicus
Short summary
We summarize the results of the Dynamical Core Model Intercomparison Project's idealized supercell test case. Supercells are storm-scale weather phenomena that are a key target for next-generation, non-hydrostatic weather prediction models. We show that the dynamical cores of most global numerical models converge between approximately 1 and 0.5 km grid spacing for this test, although differences in final solution exist, particularly due to differing grid discretizations and numerical diffusion.
We summarize the results of the Dynamical Core Model Intercomparison Project's idealized...
Citation