Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 4
Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1835-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-1835-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 4
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: 4,080 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,219 643 218 4,080 538 217 228
  • HTML: 3,219
  • PDF: 643
  • XML: 218
  • Total: 4,080
  • Supplement: 538
  • BibTeX: 217
  • EndNote: 228
Views and downloads (calculated since 26 Jun 2025)
Cumulative views and downloads (calculated since 26 Jun 2025)

Viewed (geographical distribution)

Total article views: 4,080 (including HTML, PDF, and XML) Thereof 4,036 with geography defined and 44 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 09 Oct 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.
Read more
Share
Altmetrics
Final-revised paper
Preprint