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

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Cited articles

Addor, N., Jaun, S., Fundel, F., and Zappa, M.: An operational hydrological ensemble prediction system for the city of Zurich (Switzerland): skill, case studies and scenarios, Hydrol. Earth Syst. Sci., 15, 2327–2347,, 2011. a, b, c, d, e, f, g
Alfieri, L., Velasco, D., and Thielen, J.: Flash flood detection through a multi-stage probabilistic warning system for heavy precipitation events, Adv. Geosci., 29, 69–75,, 2011. a
Andres, N., Badoux, A., and Hegg, C.: Unwetterschäden in der Schweiz im Jahre 2014, Wasser Energie Luft, 107, 47–54, 2015. a
Antonetti, M., Buss, R., Scherrer, S., Margreth, M., and Zappa, M.: Mapping dominant runoff processes: an evaluation of different approaches using similarity measures and synthetic runoff simulations, Hydrol. Earth Syst. Sci., 20, 2929–2945,, 2016a. a, b, c, d, e, f
Antonetti, M., Scherrer, S., Kienzler, P., Margreth, M., and Zappa, M.: Überprüfung von einem prozessnahen Abflussbildungsmodul auf der Hangskale und für klein- und mesoskalige Gebiete, Forum für Hydrologie und Wasserbewirtschaftung, available at:, last access: 18 December 2018, 2016b. a
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.
Final-revised paper