Articles | Volume 17, issue 10
https://doi.org/10.5194/hess-17-3853-2013
https://doi.org/10.5194/hess-17-3853-2013
Research article
 | 
10 Oct 2013
Research article |  | 10 Oct 2013

The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps

K. Liechti, L. Panziera, U. Germann, and M. Zappa

Related authors

Extremeness of recent drought events in Switzerland: dependence on variable and return period choice
Manuela I. Brunner, Katharina Liechti, and Massimiliano Zappa
Nat. Hazards Earth Syst. Sci., 19, 2311–2323, https://doi.org/10.5194/nhess-19-2311-2019,https://doi.org/10.5194/nhess-19-2311-2019, 2019
Short summary
Ensemble flood forecasting considering dominant runoff processes: II. Benchmark against a state-of-the-art model-chain (Verzasca, Switzerland)
Christoph Horat, Manuel Antonetti, Katharina Liechti, Pirmin Kaufmann, and Massimiliano Zappa
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-119,https://doi.org/10.5194/nhess-2018-119, 2018
Publication in NHESS not foreseen
Short summary
Technical note: Combining quantile forecasts and predictive distributions of streamflows
Konrad Bogner, Katharina Liechti, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 21, 5493–5502, https://doi.org/10.5194/hess-21-5493-2017,https://doi.org/10.5194/hess-21-5493-2017, 2017
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Uncertainty analysis
Quantifying spatiotemporal and elevational precipitation gauge network uncertainty in the Canadian Rockies
André Bertoncini and John W. Pomeroy
Hydrol. Earth Syst. Sci., 29, 983–1000, https://doi.org/10.5194/hess-29-983-2025,https://doi.org/10.5194/hess-29-983-2025, 2025
Short summary
Toward merging MOPEX and CAMELS hydrometeorological datasets: compatibility and statistical comparison
Katharine Owen Sink and Tom Brikowski
EGUsphere, https://doi.org/10.5194/egusphere-2024-4182,https://doi.org/10.5194/egusphere-2024-4182, 2025
Short summary
Comparison of BARRA and ERA5 in Replicating Mean and Extreme Precipitation over Australia
Kevin K. W. Cheung, Fei Ji, Nidhi Nishant, Jin Teng, James Bennett, and De Li Liu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-286,https://doi.org/10.5194/hess-2024-286, 2024
Revised manuscript accepted for HESS
Short summary
Comparison of high-resolution climate reanalysis datasets for hydro-climatic impact studies
Raul R. Wood, Joren Janzing, Amber van Hamel, Jonas Götte, Dominik L. Schumacher, and Manuela I. Brunner
EGUsphere, https://doi.org/10.5194/egusphere-2024-2905,https://doi.org/10.5194/egusphere-2024-2905, 2024
Short summary
Diurnal Variability of Global Precipitation: Insights from Hourly Satellite and Reanalysis Datasets
Rajani Kumar Pradhan, Yannis Markonis, Francesco Marra, Efthymios I. Nikolopoulos, Simon Michael Papalexiou, and Vincenzo Levizzani
EGUsphere, https://doi.org/10.5194/egusphere-2024-1626,https://doi.org/10.5194/egusphere-2024-1626, 2024
Short summary

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, https://doi.org/10.5194/hess-15-2327-2011, 2011.
AghaKouchak, A., Nakhjiri, N., and Habib, E.: An educational model for ensemble streamflow simulation and uncertainty analysis, Hydrol. Earth Syst. Sci., 17, 445–452, https://doi.org/10.5194/hess-17-445-2013, 2013.
Ahrens, B. and Jaun, S.: On evaluation of ensemble precipitation forecasts with observation-based ensembles, Adv. Geosci., 10, 139–144, https://doi.org/10.5194/adgeo-10-139-2007, 2007.
Alfieri, L., Thielen, J., and Pappenberger, F.: Ensemble hydro-meteorological simulation for flash flood early detection in southern Switzerland, J. Hydrol., 424, 143–153, https://doi.org/10.1016/j.jhydrol.2011.12.038, 2012.
Ament, F., Weusthoff, T., and Arpagaus, M.: Evaluation of MAP D-PHASE heavy precipitation alerts in Switzerland during summer 2007, Atmos. Res., 100, 178–189, 2011.
Download
Share