Workshop Ensemble Prediction and Uncertainties in Flood Forecasting

Presented posters

Date: 
13.10.2008

Author 

Institute 

Title 

Jens Bartholmes Joint Research Centre, Land management Unit, Ispra, Italy Medium-range hydrological ensemble prediction in EFAS
Leonie Bolwidt / Bas van de Pas / Eric Sprokkereef RWS RIZA River Section, Arnhem, The Netherlands Ensemble flow forecasting in The Netherlands.
The automatic production line 'Continuous flow forecasting'
Norbert Demuth Federal Institute for Environment, Water Management and and Labour Inspection for the State Rhineland-Palatinate, Mainz, Germany Communication of flood forecasts - The view of local authorities: A workshop summary
Christian Ebert / András Bárdossy / Jan Bliefernicht Institute of Hydraulic Engineering, University of Stuttgart, Germany Integration strategy for ensemble predictions of a limited area model into a short-range flood forecasting system
Kai Gerlinger Consulting Engineers Karl Ludwig, Karlsruhe, Germany Operational usage of different weather forecasts for improved flood forecasts in Southwest Germany
Simon Jaun Atmospheric and Climate Science, ETH Zürich, Switzerland Ensemble flood forecasting in Switzerland: One year of hindcasts and their analysis
Elin Langsholt Norwegian Water Resources and Energy Directorate, Oslo, Norway Quantifying uncertainty in stream flow forecasts: Verification of an operative routine
Matthias Retter University of Bern, Institute of Geography, Soil Science Section, Bern, Switzerland A new PUB-working groupon Slope Intercomparison Experiments (SLICE)
Emmanuel Roulin Royal Belgian Meteorological Institute, Brussels, Belgium Operational hydrological ensemble predictions for the Demer and the Ourthe catchments in Belgium
Fabienne Rousset Météo France (Research Center) - CNRM/GMME/MC2, Toulouse, France Ensemble streamflow forecast over the entire France
Janus Willem Schipper / Michael Kunz / Christoph Kottmeier Institute for Meteorology and Climate Research - University Karlsruhe, Germany Improving high-resolution quantitative precipitation forecasts by using ensembles in PREVIEW
Andreas Schumann et al Ruhr University Bochum - Institute for Hydrology, Water Resources Management and Environmental Engineering, Bochum, Germany Operational flood risk management based on meteorological ensemble predictions (case study: Mulde) 
Sebastian Trepte / Michael Denhard German Weather Service, Offenbach, Germany Joining COSMO-LEPS, SRNWP-PEPS and LMK LAF-ensemble to generate calibrated precipitation forecast scenarios
Albrecht Weerts WL Delft Hydraulics, Delft, The Netherlands Application of particle filtering and ensemble Kalman filtering for flood forecasting in the Rhine basin