Articles | Volume 17, issue 10
https://doi.org/10.5194/hess-17-3853-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-17-3853-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
L. Panziera
MeteoSwiss, Locarno Monti, Switzerland
U. Germann
MeteoSwiss, Locarno Monti, Switzerland
Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
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25 citations as recorded by crossref.
- Shyft v4.8: a framework for uncertainty assessment and distributed hydrologic modeling for operational hydrology J. Burkhart et al. 10.5194/gmd-14-821-2021
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- Real-time assessment of flash flood impacts at pan-European scale: The ReAFFINE method J. Ritter et al. 10.1016/j.jhydrol.2021.127022
- Flood triggering in Switzerland: the role of daily to monthly preceding precipitation P. Froidevaux et al. 10.5194/hess-19-3903-2015
- What if the 25 October 2011 event that struck Cinque Terre (Liguria) had happened in Genoa, Italy? Flooding scenarios, hazard mapping and damage estimation F. Silvestro et al. 10.5194/nhess-16-1737-2016
- Hydrometeorology of the catastrophic Blanco river flood in South Texas, May 2015 C. Furl et al. 10.1016/j.ejrh.2017.12.001
- Ensemble flood forecasting considering dominant runoff processes – Part 1: Set-up and application to nested basins (Emme, Switzerland) M. Antonetti et al. 10.5194/nhess-19-19-2019
- Can a regionalized model parameterisation be improved with a limited number of runoff measurements? D. Viviroli & J. Seibert 10.1016/j.jhydrol.2015.07.009
- Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al. 10.1002/hyp.11232
- A method for real‐time temporal disaggregation of blended radar–rain gauge precipitation fields Y. Barton et al. 10.1002/met.1843
- Ensemble flood forecasting: Current status and future opportunities W. Wu et al. 10.1002/wat2.1432
- Heavy Rainfall Events and Mass Movements in the Funchal Area (Madeira, Portugal): Spatial Analysis and Susceptibility Assessment S. Lopes et al. 10.3390/atmos11010104
- From calibration to real‐time operations: an assessment of three precipitation benchmarks for a Swiss river system N. Andres et al. 10.1002/met.1569
- ReAFFIRM: Real-time Assessment of Flash Flood Impacts – a Regional high-resolution Method J. Ritter et al. 10.1016/j.envint.2019.105375
- Reconstruction and simulation of an extreme flood event in the Lago Maggiore catchment in 1868 P. Stucki et al. 10.5194/nhess-18-2717-2018
- A multi‐year assessment of sub‐hourly gridded precipitation for Switzerland based on a blended radar—Rain‐gauge dataset Y. Barton et al. 10.1002/joc.6514
- Dynamic Pluvial Flash Flooding Hazard Forecast Using Weather Radar Data P. Rapant & J. Kolejka 10.3390/rs13152943
- Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts M. Poletti et al. 10.5194/hess-23-3823-2019
- A Conceptual Flash Flood Early Warning System for Africa, Based on Terrestrial Microwave Links and Flash Flood Guidance J. Hoedjes et al. 10.3390/ijgi3020584
- Contribution to a flood situation management: a supervisory control scheme to reduce disaster impact H. Nouasse et al. 10.2166/ws.2015.160
- How can expert knowledge increase the realism of conceptual hydrological models? A case study based on the concept of dominant runoff process in the Swiss Pre-Alps M. Antonetti & M. Zappa 10.5194/hess-22-4425-2018
- Subseasonal hydrometeorological ensemble predictions in small- and medium-sized mountainous catchments: benefits of the NWP approach S. Monhart et al. 10.5194/hess-23-493-2019
2 citations as recorded by crossref.
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