Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
HESS | Articles | Volume 23, issue 1
Hydrol. Earth Syst. Sci., 23, 73–91, 2019
https://doi.org/10.5194/hess-23-73-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 73–91, 2019
https://doi.org/10.5194/hess-23-73-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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.

Related authors

Hydrology modelling R packages: a unified analysis of models and practicalities from a user perspective
Paul C. Astagneau, Guillaume Thirel, Olivier Delaigue, Joseph H. A. Guillaume, Juraj Parajka, Claudia C. Brauer, Alberto Viglione, Wouter Buytaert, and Keith J. Beven
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-498,https://doi.org/10.5194/hess-2020-498, 2020
Preprint under review for HESS
Short summary
Impact of the quality of hydrological forecasts on the managementand revenue of hydroelectric reservoirs – a conceptual approach
Manon Cassagnole, Maria-Helena Ramos, Ioanna Zalachori, Guillaume Thirel, Rémy Garçon, Joël Gailhard, and Thomas Ouillon
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-410,https://doi.org/10.5194/hess-2020-410, 2020
Preprint under review for HESS
The value of ASCAT soil moisture and MODIS snow cover data for calibrating a conceptual hydrologic model
Rui Tong, Juraj Parajka, Andreas Salentinig, Isabella Pfeil, Jürgen Komma, Borbála Széles, Martin Kubáň, Peter Valent, Mariette Vreugdenhil, Wolfgang Wagner, and Günter Blöschl
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-436,https://doi.org/10.5194/hess-2020-436, 2020
Preprint under review for HESS
Short summary
Revisiting the global hydrological cycle: is it intensifying?
Demetris Koutsoyiannis
Hydrol. Earth Syst. Sci., 24, 3899–3932, https://doi.org/10.5194/hess-24-3899-2020,https://doi.org/10.5194/hess-24-3899-2020, 2020
Short summary
Why does a conceptual hydrological model fail to correctly predict discharge changes in response to climate change?
Doris Duethmann, Günter Blöschl, and Juraj Parajka
Hydrol. Earth Syst. Sci., 24, 3493–3511, https://doi.org/10.5194/hess-24-3493-2020,https://doi.org/10.5194/hess-24-3493-2020, 2020
Short summary

Related subject area

Subject: Rivers and Lakes | Techniques and Approaches: Stochastic approaches
Flood trends in Europe: are changes in small and big floods different?
Miriam Bertola, Alberto Viglione, David Lun, Julia Hall, and Günter Blöschl
Hydrol. Earth Syst. Sci., 24, 1805–1822, https://doi.org/10.5194/hess-24-1805-2020,https://doi.org/10.5194/hess-24-1805-2020, 2020
Short summary
Discharge hydrograph estimation at upstream-ungauged sections by coupling a Bayesian methodology and a 2-D GPU shallow water model
Alessia Ferrari, Marco D'Oria, Renato Vacondio, Alessandro Dal Palù, Paolo Mignosa, and Maria Giovanna Tanda
Hydrol. Earth Syst. Sci., 22, 5299–5316, https://doi.org/10.5194/hess-22-5299-2018,https://doi.org/10.5194/hess-22-5299-2018, 2018
Short summary
Large-scale hydrological model river storage and discharge correction using a satellite altimetry-based discharge product
Charlotte Marie Emery, Adrien Paris, Sylvain Biancamaria, Aaron Boone, Stéphane Calmant, Pierre-André Garambois, and Joecila Santos da Silva
Hydrol. Earth Syst. Sci., 22, 2135–2162, https://doi.org/10.5194/hess-22-2135-2018,https://doi.org/10.5194/hess-22-2135-2018, 2018
Short summary
Influence of solar forcing, climate variability and modes of low-frequency atmospheric variability on summer floods in Switzerland
J. C. Peña, L. Schulte, A. Badoux, M. Barriendos, and A. Barrera-Escoda
Hydrol. Earth Syst. Sci., 19, 3807–3827, https://doi.org/10.5194/hess-19-3807-2015,https://doi.org/10.5194/hess-19-3807-2015, 2015
Short summary
Historical impact of water infrastructure on water levels of the Mekong River and the Tonle Sap system
T. A. Cochrane, M. E. Arias, and T. Piman
Hydrol. Earth Syst. Sci., 18, 4529–4541, https://doi.org/10.5194/hess-18-4529-2014,https://doi.org/10.5194/hess-18-4529-2014, 2014
Short summary

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, https://doi.org/10.5194/hess-21-3687-2017, 2017. 
Barredo, J. I.: Major flood disasters in Europe: 1950–2005, Nat. Hazards, 42, 125–148, https://doi.org/10.1007/s11069-006-9065-2, 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, https://doi.org/10.1175/2009JHM1034.1, 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, https://doi.org/10.1080/02626667.2017.1393541, 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, https://doi.org/10.1016/S0022-1694(02)00292-5, 2003. 
Publications Copernicus
Download
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.
We investigate the seasonal memory properties of a large sample of European rivers in terms of...
Citation