Articles | Volume 23, issue 1
Hydrol. Earth Syst. Sci., 23, 73–91, 2019
Hydrol. Earth Syst. Sci., 23, 73–91, 2019
Research article
07 Jan 2019
Research article | 07 Jan 2019

A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers

Theano Iliopoulou et al.

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Cited articles

Aguilar, C., Montanari, A., and Polo, M.-J.: Real-time updating of the flood frequency distribution through data assimilation, Hydrol. Earth Syst. Sci., 21, 3687–3700,, 2017. 
Barredo, J. I.: Major flood disasters in Europe: 1950–2005, Nat. Hazards, 42, 125–148,, 2007. 
Bierkens, M. F. P. and van Beek, L. P. H.: Seasonal Predictability of European Discharge: NAO and Hydrological Response Time, J. Hydrometeorol., 10, 953–968,, 2009. 
Cervi, F., Blöschl, G., Corsini, A., Borgatti, L., and Montanari, A.: Perennial springs provide information to predict low flows in mountain basins, Hydrolog. Sci. J., 62, 2469–2481,, 2017. 
Chiew, F. H. S., Zhou, S. L., and McMahon, T. A.: Use of seasonal streamflow forecasts in water resources management, J. Hydrol., 270, 135–144,, 2003. 
Short summary
We investigate the seasonal memory properties of a large sample of European rivers in terms of high and low flows. We compute seasonal correlations between peak and low flows and average flows in the previous seasons and explore the links with various physiographic and hydro-climatic catchment descriptors. Our findings suggest that there is a traceable physical basis for river memory which in turn can be employed to reduce uncertainty and improve probabilistic predictions of floods and droughts.