Articles | Volume 22, issue 8
https://doi.org/10.5194/hess-22-4183-2018
https://doi.org/10.5194/hess-22-4183-2018
Research article
 | 
07 Aug 2018
Research article |  | 07 Aug 2018

A classification algorithm for selective dynamical downscaling of precipitation extremes

Edmund P. Meredith, Henning W. Rust, and Uwe Ulbrich

Viewed

Total article views: 4,226 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,994 1,133 99 4,226 107 91
  • HTML: 2,994
  • PDF: 1,133
  • XML: 99
  • Total: 4,226
  • BibTeX: 107
  • EndNote: 91
Views and downloads (calculated since 07 Dec 2017)
Cumulative views and downloads (calculated since 07 Dec 2017)

Viewed (geographical distribution)

Total article views: 4,226 (including HTML, PDF, and XML) Thereof 4,031 with geography defined and 195 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Kilometre-scale climate-model data are of great benefit to both hydrologists and end users studying extreme precipitation, though often unavailable due to the computational expense associated with such high-resolution simulations. We develop a method which identifies days with enhanced risk of extreme rainfall over a catchment, so that high-resolution simulations can be performed only when such a risk exists, reducing computational expense by over 90 % while still well capturing the extremes.