Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-829-2019
https://doi.org/10.5194/hess-23-829-2019
Research article
 | 
13 Feb 2019
Research article |  | 13 Feb 2019

Mapping rainfall hazard based on rain gauge data: an objective cross-validation framework for model selection

Juliette Blanchet, Emmanuel Paquet, Pradeebane Vaittinada Ayar, and David Penot

Viewed

Total article views: 3,476 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,372 1,026 78 3,476 107 111
  • HTML: 2,372
  • PDF: 1,026
  • XML: 78
  • Total: 3,476
  • BibTeX: 107
  • EndNote: 111
Views and downloads (calculated since 23 Mar 2018)
Cumulative views and downloads (calculated since 23 Mar 2018)

Viewed (geographical distribution)

Total article views: 3,476 (including HTML, PDF, and XML) Thereof 3,300 with geography defined and 176 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 07 Oct 2025
Download
Short summary
We propose an objective framework for estimating rainfall cumulative distribution functions in a region when data are only available at rain gauges. Our methodology allows us to assess goodness-of-fit of the full distribution, but with a particular focus on its tail. It is applied to daily rainfall in the Ardèche catchment in the south of France. Results show a preference for a mixture of Gamma distribution over seasons and weather patterns, with parameters interpolated with a thin plate spline.
Share