C. Aguilar, A. Montanari, and M. Polo, Real-time updating of the flood frequency distribution through data assimilation, Hydrol. Earth Syst. Sci, vol.21, pp.3687-3700, 2017.

J. I. Barredo, Major flood disasters in Europe, Nat. Hazards, vol.42, pp.125-148, 2007.

M. F. Bierkens and L. P. Van-beek, Seasonal Predictability of European Discharge: NAO and Hydrological Response Time, J. Hydrometeorol, vol.10, pp.953-968, 2009.

F. Cervi, G. Blöschl, A. Corsini, L. Borgatti, and A. Montanari, Perennial springs provide information to predict low flows in mountain basins, Hydrolog. Sci. J, vol.62, pp.2469-2481, 2017.

F. H. Chiew, S. L. Zhou, and T. A. Mcmahon, Use of seasonal streamflow forecasts in water resources management, J. Hydrol, vol.270, pp.135-144, 2003.

W. J. Conover, Practical Nonparametric Statistics, 1971.

J. M. Cunderlik, T. B. Ouarda, and B. Bobée, Determination of flood seasonality from hydrological records/Détermination de la saisonnalité des crues à partir de séries hydrologiques, Hydrolog. Sci. J, vol.49, pp.3-5, 1926.

A. I. Dijk, J. L. Peña-arancibia, E. F. Wood, J. Sheffield, and H. E. Beck, Global analysis of seasonal streamflow predictability using an ensemble prediction system and observations from 6192 small catchments worldwide, Water Resour. Res, vol.49, pp.2729-2746, 2013.

P. Dimitriadis, D. Koutsoyiannis, and K. Tzouka, Predictability in dice motion: how does it differ from hydrometeorological processes?, Hydrolog. Sci. J, vol.61, pp.1611-1622, 2016.

K. R. Gabriel, The biplot graphic display of matrices with application to principal component analysis, Biometrika, vol.58, pp.453-467, 1971.

J. C. Gower and D. J. Hand, , 1995.

L. Gudmundsson, L. M. Tallaksen, K. Stahl, and A. K. Fleig, Low-frequency variability of European runoff, Hydrol. Earth Syst. Sci, vol.15, pp.2853-2869, 2011.

A. Gustard and S. Demuth, Manual on low-flow estimation and prediction, World Meteorological Organization, 2008.

C. J. Harman, P. A. Troch, and M. Sivapalan, Functional model of water balance variability at the catchment scale: 2. Elasticity of fast and slow runoff components to precipitation change in the continental United States, Water Resour. Res, vol.47, 2011.

J. Herrero and M. J. Polo, The Cryosphere, Evaposublimation from the snow in the Mediterranean mountains of Sierra Nevada (Spain), vol.10, pp.2981-2998, 2016.

F. A. Hirpa, M. Gebremichael, and T. M. Over, River flow fluctuation analysis: Effect of watershed area, Water Resour. Res, vol.46, 2010.

H. Hotelling, Analysis of a complex of statistical variables into principal components, J. Educ. Psychol, vol.24, pp.417-441, 1933.

H. E. Hurst and I. Jolliffe, Principal component analysis, Wiley Online Library, Trans. Amer. Soc. Civil Eng, vol.116, pp.770-808, 1951.

K. S. Kelly and R. Krzysztofowicz, A bivariate meta-Gaussian density for use in hydrology, Stoch. Hydrol. Hydraul, vol.11, pp.17-31, 1997.

M. Kottek, J. Grieser, C. Beck, B. Rudolf, and F. Rubel, World Map of the Köppen-Geiger climate classification updated, Meteorol. Z, vol.15, pp.259-263, 2006.

D. Koutsoyiannis, Hurst-Kolmogorov Dynamics and Uncertainty, J. Am. Water Resour. As, vol.47, pp.481-495, 2011.

D. Koutsoyiannis, H. Yao, G. , and A. , Mediumrange flow prediction for the Nile: a comparison of stochastic and deterministic methods/Prévision du débit du Nil à moyen terme: une comparaison de méthodes stochastiques et déterministes, Hydrolog. Sci. J, vol.53, pp.142-164, 2008.

A. Kuentz, B. Arheimer, Y. Hundecha, and T. Wagener, Understanding hydrologic variability across Europe through catchment classification, Hydrol. Earth Syst. Sci, vol.21, pp.2863-2879, 2017.

D. Lee, P. Ward, and P. Block, Defining high-flow seasons using temporal streamflow patterns from a global model, Hydrol. Earth Syst. Sci, vol.19, pp.4689-4705, 2015.

S. Mahanama, B. Livneh, R. Koster, D. Lettenmaier, R. et al., Soil Moisture, Snow, and Seasonal Streamflow Forecasts in the United States, J. Hydrometeor, vol.13, pp.189-203, 2011.

Y. Markonis, Y. Moustakis, C. Nasika, P. Sychova, P. Dimitriadis et al., Global estimation of long-term persistence in annual river runoff, Adv. Water Resour, vol.113, pp.1-12, 2018.

A. Montanari, Hydrology of the Po River: looking for changing patterns in river discharge, Hydrol. Earth Syst. Sci, vol.16, pp.3739-3747, 2012.

A. Montanari and A. Brath, A stochastic approach for assessing the uncertainty of rainfall-runoff simulations, Water Resour. Res, vol.40, 2004.

A. Montanari and D. Koutsoyiannis, A blueprint for process-based modeling of uncertain hydrological systems, Water Resour. Res, vol.48, 2012.

M. Mudelsee, Long memory of rivers from spatial aggregation, Water Resour. Res, vol.43, 2007.

P. E. O'connell, D. Koutsoyiannis, H. F. Lins, Y. Markonis, A. Montanari et al., The scientific legacy of Harold Edwin Hurst, vol.61, pp.1571-1590, 2016.

J. Parajka, S. Kohnová, R. Merz, J. Szolgay, K. Hlav?ová et al., Comparative analysis of the seasonality of hydrological characteristics in Slovakia and Austria/Analyse comparative de la saisonnalité de caractéristiques hydrologiques en Slovaquie et en Autriche, Hydrolog. Sci. J, vol.54, pp.456-473, 2009.

J. Parajka, S. Kohnová, G. Bálint, M. Barbuc, M. Borga et al., Seasonal characteristics of flood regimes across the Alpine-Carpathian range, J. Hydrol, vol.394, pp.78-89, 2010.

J. Parajka, A. P. Blaschke, G. Blöschl, K. Haslinger, G. Hepp et al., Uncertainty contributions to low-flow projections in Austria, Hydrol. Earth Syst. Sci, vol.20, pp.2085-2101, 2016.

K. Pearson, On lines and planes of closest fit to systems of points in space, Phil. Mag, vol.2, pp.559-572, 1901.

T. C. Piechota, F. H. Chiew, J. A. Dracup, and T. A. Mcmahon, Development of exceedance probability streamflow forecast, J. Hydrol. Eng, vol.6, issue.20, p.1, 2001.

C. Prudhomme, J. Hannaford, S. Harrigan, D. Boorman, J. Knight et al., Hydrological Outlook UK: an operational streamflow and groundwater level forecasting system at monthly to seasonal time scales, Hydrolog. Sci. J, vol.62, pp.2753-2768, 2017.

N. Ravbar, Variability of groundwater flow and transport processes in karst under different hydrologic conditions/Spremenljivost Pretakanja Voda in Prenosa Snovi V Krasu ob Razlicnih Hidroloskih Pogojih, Acta Carsologica, vol.42, 2013.

S. I. Seneviratne, R. D. Koster, Z. Guo, P. A. Dirmeyer, E. Kowalczyk et al., Soil moisture memory in AGCM simulations: analysis of global land-atmosphere coupling experiment (GLACE) data, J. Hydrometeorol, vol.7, pp.1090-1112, 2006.

C. Spearman, The Proof and Measurement of Association between Two Things, Am. J. Psychol, vol.15, pp.72-101, 1904.

C. Svensson, E. Szolgayova, G. Laaha, G. Blöschl, and C. Bucher, Seasonal river flow forecasts for the United Kingdom using persistence and historical analogues, Hydrolog. Sci. J, vol.61, pp.1573-1586, 2014.

Q. J. Wang, D. E. Robertson, and F. H. Chiew, A Bayesian joint probability modeling approach for seasonal forecasting of streamflows at multiple sites, Water Resour. Res, vol.45, 2009.

K. Willsher, France brings in water rationing after worst drought for 30 years, The Guardian, 2005.

N. C. Yossef, H. Winsemius, A. Weerts, R. Beek, and M. F. Bierkens, Skill of a global seasonal streamflow forecasting system, relative roles of initial conditions and meteorological forcing, Water Resour. Res, vol.49, pp.4687-4699, 2013.

Q. Zhang, Y. Zhou, V. P. Singh, C. , and X. , The influence of dam and lakes on the Yangtze River streamflow: long-range correlation and complexity analyses, Hydrol. Process, vol.26, pp.436-444, 2012.