Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1577-2018
https://doi.org/10.5194/gmd-11-1577-2018
Methods for assessment of models
 | 
19 Apr 2018
Methods for assessment of models |  | 19 Apr 2018

On the effect of model parameters on forecast objects

Caren Marzban, Corinne Jones, Ning Li, and Scott Sandgathe

Viewed

Total article views: 2,910 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,063 750 97 2,910 128 126
  • HTML: 2,063
  • PDF: 750
  • XML: 97
  • Total: 2,910
  • BibTeX: 128
  • EndNote: 126
Views and downloads (calculated since 13 Nov 2017)
Cumulative views and downloads (calculated since 13 Nov 2017)

Viewed (geographical distribution)

Total article views: 2,910 (including HTML, PDF, and XML) Thereof 2,713 with geography defined and 197 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
Short summary
Some numerical models generate "maps", for example temperature or precipitation maps produced by numerical weather prediction models. These maps often contain "objects", for example a storm. Features of these objects are generally affected by the parameters of the numerical model. This paper puts forth a methodology for exposing both the strength and the statistical significance of the effect of the model parameters on object features.
Share