Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-727-2018
https://doi.org/10.5194/hess-22-727-2018
Research article
 | 
26 Jan 2018
Research article |  | 26 Jan 2018

Censored rainfall modelling for estimation of fine-scale extremes

David Cross, Christian Onof, Hugo Winter, and Pietro Bernardara

Viewed

Total article views: 2,983 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,950 930 103 2,983 88 101
  • HTML: 1,950
  • PDF: 930
  • XML: 103
  • Total: 2,983
  • BibTeX: 88
  • EndNote: 101
Views and downloads (calculated since 07 Sep 2017)
Cumulative views and downloads (calculated since 07 Sep 2017)

Viewed (geographical distribution)

Total article views: 2,983 (including HTML, PDF, and XML) Thereof 2,816 with geography defined and 167 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
Short summary
Extreme rainfall is one of the most significant natural hazards. However, estimating very large events is highly uncertain. We present a new approach to construct intense rainfall using the structure of rainfall generation in clouds. The method is particularly effective at estimating short-duration extremes, which can be the most damaging. This is expected to have immediate impact for the estimation of very rare downpours, with the potential to improve climate resilience and hazard preparedness.