Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 4
Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1577-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-1577-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 4
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: 3,190 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,213 863 114 3,190 158 204
  • HTML: 2,213
  • PDF: 863
  • XML: 114
  • Total: 3,190
  • BibTeX: 158
  • EndNote: 204
Views and downloads (calculated since 13 Nov 2017)
Cumulative views and downloads (calculated since 13 Nov 2017)

Viewed (geographical distribution)

Total article views: 3,190 (including HTML, PDF, and XML) Thereof 2,989 with geography defined and 201 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Dec 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.
Read more
Share