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: 3,512 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,401 1,051 60 3,512 70 64
  • HTML: 2,401
  • PDF: 1,051
  • XML: 60
  • Total: 3,512
  • BibTeX: 70
  • EndNote: 64
Views and downloads (calculated since 07 Dec 2017)
Cumulative views and downloads (calculated since 07 Dec 2017)

Viewed (geographical distribution)

Total article views: 3,512 (including HTML, PDF, and XML) Thereof 3,343 with geography defined and 169 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Feb 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.