Articles | Volume 19, issue 1
https://doi.org/10.5194/nhess-19-1-2019
https://doi.org/10.5194/nhess-19-1-2019
Research article
 | 
04 Jan 2019
Research article |  | 04 Jan 2019

A stochastic event-based approach for flood estimation in catchments with mixed rainfall and snowmelt flood regimes

Valeriya Filipova, Deborah Lawrence, and Thomas Skaugen

Viewed

Total article views: 3,259 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,305 876 78 3,259 63 67
  • HTML: 2,305
  • PDF: 876
  • XML: 78
  • Total: 3,259
  • BibTeX: 63
  • EndNote: 67
Views and downloads (calculated since 25 Jun 2018)
Cumulative views and downloads (calculated since 25 Jun 2018)

Viewed (geographical distribution)

Total article views: 3,259 (including HTML, PDF, and XML) Thereof 2,813 with geography defined and 446 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2024
Download
Short summary
This paper presents a stochastic event-based method for analysis of extreme floods, which uses a Monte Carlo procedure to sample initial conditions, snowmelt and rainfall. A study of 20 catchments in Norway shows that this method gives flood estimates that are closer to those obtained using statistical flood frequency analysis than a deterministic event-based model based on a single design storm.
Altmetrics
Final-revised paper
Preprint