Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 19, issue 1
Articles | Volume 19, issue 1
https://doi.org/10.5194/nhess-19-19-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-19-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 1
Research article
 | 
07 Jan 2019
Research article |  | 07 Jan 2019

Ensemble flood forecasting considering dominant runoff processes – Part 1: Set-up and application to nested basins (Emme, Switzerland)

Manuel Antonetti, Christoph Horat, Ioannis V. Sideris, and Massimiliano Zappa

Viewed

Total article views: 5,098 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,597 1,380 121 5,098 487 118 146
  • HTML: 3,597
  • PDF: 1,380
  • XML: 121
  • Total: 5,098
  • Supplement: 487
  • BibTeX: 118
  • EndNote: 146
Views and downloads (calculated since 02 May 2018)
Cumulative views and downloads (calculated since 02 May 2018)

Viewed (geographical distribution)

Total article views: 5,098 (including HTML, PDF, and XML) Thereof 4,401 with geography defined and 697 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Jan 2026
Download
Short summary
To predict timing and magnitude peak run-off, meteorological and calibrated hydrological models are commonly coupled. A flash-flood forecasting chain is presented based on a process-based run-off generation module with no need for calibration. This chain has been evaluated using data for the Emme catchment (Switzerland). The outcomes of this study show that operational flash predictions in ungauged basins can benefit from the use of information on run-off processes.
Read more
Share
Altmetrics
Final-revised paper
Preprint