Assessing uncertainties in flood forecasts for decision making: prototype of an operational flood management system integrating ensemble predictions

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Dietrich, J.; Schumann, A.H.; Redetzky, M.; Walther, J.; Denhard, M. et al.: Assessing uncertainties in flood forecasts for decision making: prototype of an operational flood management system integrating ensemble predictions. In: Natural Hazards and Earth System Sciences 9 (2009), Nr. 4, S. 1529-1540. DOI: https://doi.org/10.5194/nhess-9-1529-2009

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1142

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Sum total of downloads: 211




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Abstract: 
Ensemble forecasts aim at framing the uncertainties of the potential future development of the hydro-meteorological situation. A probabilistic evaluation can be used to communicate forecast uncertainty to decision makers. Here an operational system for ensemble based flood forecasting is presented, which combines forecasts from the European COSMO-LEPS, SRNWP-PEPS and COSMO-DE prediction systems. A multi-model lagged average super-ensemble is generated by recombining members from different runs of these meteorological forecast systems. A subset of the super-ensemble is selected based on a priori model weights, which are obtained from ensemble calibration. Flood forecasts are simulated by the conceptual rainfall-runoff-model ArcEGMO. Parameter uncertainty of the model is represented by a parameter ensemble, which is a priori generated from a comprehensive uncertainty analysis during model calibration. The use of a computationally efficient hydrological model within a flood management system allows us to compute the hydro-meteorological model chain for all members of the sub-ensemble. The model chain is not re-computed before new ensemble forecasts are available, but the probabilistic assessment of the output is updated when new information from deterministic short range forecasts or from assimilation of measured data becomes available. For hydraulic modelling, with the desired result of a probabilistic inundation map with high spatial resolution, a replacement model can help to overcome computational limitations. A prototype of the developed framework has been applied for a case study in the Mulde river basin. However these techniques, in particular the probabilistic assessment and the derivation of decision rules are still in their infancy. Further research is necessary and promising.
License of this version: CC BY 3.0
Document Type: article
Publishing status: publishedVersion
Issue Date: 2009
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 151 71.56%
2 image of flag of United Kingdom United Kingdom 12 5.69%
3 image of flag of United States United States 9 4.27%
4 image of flag of France France 9 4.27%
5 image of flag of Australia Australia 6 2.84%
6 image of flag of Vietnam Vietnam 3 1.42%
7 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 3 1.42%
8 image of flag of Turkey Turkey 2 0.95%
9 image of flag of Saudi Arabia Saudi Arabia 2 0.95%
10 image of flag of China China 2 0.95%
    other countries 12 5.69%

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