Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1835-2026
https://doi.org/10.5194/nhess-26-1835-2026
Research article
 | 
24 Apr 2026
Research article |  | 24 Apr 2026

Leveraging reforecasts for flood estimation with long continuous simulation: a proof-of-concept study

Daniel Viviroli, Martin Jury, Maria Staudinger, Martina Kauzlaric, Heimo Truhetz, and Douglas Maraun

Viewed

Total article views: 3,345 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,749 485 111 3,345 363 105 125
  • HTML: 2,749
  • PDF: 485
  • XML: 111
  • Total: 3,345
  • Supplement: 363
  • BibTeX: 105
  • EndNote: 125
Views and downloads (calculated since 26 Jun 2025)
Cumulative views and downloads (calculated since 26 Jun 2025)

Viewed (geographical distribution)

Total article views: 3,345 (including HTML, PDF, and XML) Thereof 3,345 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 May 2026
Download
Short summary
Estimating the frequency and magnitude of floods is challenging due to the limited length of streamflow records. Here, we explore whether an extensive archive of meteorological forecasts run over past dates can assist in this context. After processing and concatenating these data for use as input to a hydrological model, we derive flood statistics from simulated streamflow. Results are promising for the larger catchments studied, providing a valuable complementary perspective on rare floods.
Share
Altmetrics
Final-revised paper
Preprint