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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 3 | Copyright
Hydrol. Earth Syst. Sci., 17, 1161-1175, 2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Mar 2013

Research article | 15 Mar 2013

GloFAS – global ensemble streamflow forecasting and flood early warning

L. Alfieri1,2, P. Burek2, E. Dutra1, B. Krzeminski1, D. Muraro2, J. Thielen2, and F. Pappenberger1,3 L. Alfieri et al.
  • 1European Centre for Medium-Range Weather Forecasts, Reading, UK
  • 2European Commission – Joint Research Centre, Institute for Environment and Sustainability, Ispra, Italy
  • 3College of Hydrology and Water Resources, Hohai University, Nanjing, China

Abstract. Anticipation and preparedness for large-scale flood events have a key role in mitigating their impact and optimizing the strategic planning of water resources. Although several developed countries have well-established systems for river monitoring and flood early warning, figures of populations affected every year by floods in developing countries are unsettling. This paper presents the Global Flood Awareness System (GloFAS), which has been set up to provide an overview on upcoming floods in large world river basins. GloFAS is based on distributed hydrological simulation of numerical ensemble weather predictions with global coverage. Streamflow forecasts are compared statistically to climatological simulations to detect probabilistic exceedance of warning thresholds. In this article, the system setup is described, together with an evaluation of its performance over a two-year test period and a qualitative analysis of a case study for the Pakistan flood, in summer 2010. It is shown that hazardous events in large river basins can be skilfully detected with a forecast horizon of up to 1 month. In addition, results suggest that an accurate simulation of initial model conditions and an improved parameterization of the hydrological model are key components to reproduce accurately the streamflow variability in the many different runoff regimes of the earth.

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