Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.790 IF 4.790
  • IF 5-year value: 5.921 IF 5-year
    5.921
  • CiteScore value: 5.27 CiteScore
    5.27
  • SNIP value: 1.551 SNIP 1.551
  • IPP value: 5.08 IPP 5.08
  • SJR value: 3.016 SJR 3.016
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 63 Scimago H
    index 63
  • h5-index value: 51 h5-index 51
TC | Volume 12, issue 7
The Cryosphere, 12, 2175–2210, 2018
https://doi.org/10.5194/tc-12-2175-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 12, 2175–2210, 2018
https://doi.org/10.5194/tc-12-2175-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 06 Jul 2018

Research article | 06 Jul 2018

Glacio-hydrological melt and run-off modelling: application of a limits of acceptability framework for model comparison and selection

Jonathan D. Mackay et al.
Viewed  
Total article views: 1,862 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,298 539 25 1,862 9 25
  • HTML: 1,298
  • PDF: 539
  • XML: 25
  • Total: 1,862
  • BibTeX: 9
  • EndNote: 25
Views and downloads (calculated since 18 Jan 2018)
Cumulative views and downloads (calculated since 18 Jan 2018)
Viewed (geographical distribution)  
Total article views: 1,751 (including HTML, PDF, and XML) Thereof 1,738 with geography defined and 13 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)  
No discussed metrics found.
Latest update: 15 Sep 2019
Publications Copernicus
Download
Short summary
We apply a framework to compare and objectively accept or reject competing melt and run-off process models. We found no acceptable models. Furthermore, increasing model complexity does not guarantee better predictions. The results highlight model selection uncertainty and the need for rigorous frameworks to identify deficiencies in competing models. The application of this approach in the future will help to better quantify model prediction uncertainty and develop improved process models.
We apply a framework to compare and objectively accept or reject competing melt and run-off...
Citation