Articles | Volume 23, issue 1
https://doi.org/10.5194/hess-23-73-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-73-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Jan 2019
Research article |
| 07 Jan 2019
| 07 Jan 2019
A large sample analysis of European rivers on seasonal river flow correlation and its physical drivers
Department of Water Resources and Environmental Engineering,
School of Civil Engineering, National Technical University of Athens,
Zographou, 15780, Greece
Cristina Aguilar
Fluvial Dynamics and Hydrology Research Group, Andalusian Institute
of Earth System Research, University of Córdoba, Córdoba, 14071, Spain
Berit Arheimer
Swedish Meteorological and Hydrological Institute, 601 76
Norrköping, Sweden
María Bermúdez
Water and Environmental Engineering Group, Department of Civil
Engineering, University of A Coruña, 15071 A Coruña, Spain
Nejc Bezak
Faculty of Civil and Geodetic Engineering, University of Ljubljana,
Jamova 2, 1000 Ljubljana, Slovenia
Andrea Ficchì
Department of Geography and Environmental Science, University of
Reading, Reading, RG6 6AB, UK
formerly at: IRSTEA, Hydrology
Research Group (HYCAR), 92761, Antony, France
Demetris Koutsoyiannis
Department of Water Resources and Environmental Engineering,
School of Civil Engineering, National Technical University of Athens,
Zographou, 15780, Greece
Juraj Parajka
Vienna University of Technology, Institute of Hydraulic Engineering
and Water Resources Management, Karlsplatz 13/222, 1040 Vienna, Austria
María José Polo
Fluvial Dynamics and Hydrology Research Group, Andalusian Institute
of Earth System Research, University of Córdoba, Córdoba, 14071, Spain
Guillaume Thirel
IRSTEA, Hydrology Research Group (HYCAR), 92761, Antony,
France
Alberto Montanari
Department DICAM, University of Bologna, Bologna, 40136, Italy
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18 citations as recorded by crossref.
- Global catchment modelling using World-Wide HYPE (WWH), open data, and stepwise parameter estimation B. Arheimer et al. 10.5194/hess-24-535-2020
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- Coupling Hydrodynamic and Energy Production Models for Salinity Gradient Energy Assessment in a Salt-Wedge Estuary (Strymon River, Northern Greece) K. Zachopoulos et al. 10.3390/en15092970
- Analyzing streamflow variation in the data-sparse mountainous regions: An integrated CCA-RF-FA framework H. Wang et al. 10.1016/j.jhydrol.2021.126056
- Seasonal catchment memory of high mountain rivers in the Tibetan Plateau H. Gu et al. 10.1038/s41467-023-38966-9
- Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. 10.1029/2019WR024945
- Quantifying multi-year hydrological memory with Catchment Forgetting Curves A. de Lavenne et al. 10.5194/hess-26-2715-2022
- Link between hydric potential and predictability of maximum flow for selected catchments in Western Carpathians J. Wojkowski et al. 10.1016/j.scitotenv.2019.05.159
- A unified framework for the assessment of multiple source urban flash flood hazard: the case study of Monza, Italy G. Galuppini et al. 10.1080/1573062X.2020.1734950
- Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity G. Papacharalampous et al. 10.1016/j.scitotenv.2020.144612
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- Effectiveness assessment of reservoir projects for flash flood control, water supply and irrigation in Wangmo Basin, China M. Zhao et al. 10.1016/j.scitotenv.2022.157918
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- Assessment of the Impact of Forestry and Settlement-Forest Use of the Catchments on the Parameters of Surface Water Quality: Case Studies for Chechło Reservoir Catchment, Southern Poland A. Bogdał et al. 10.3390/w11050964
- Stochastic Analysis of the Marginal and Dependence Structure of Streamflows: From Fine-Scale Records to Multi-Centennial Paleoclimatic Reconstructions A. Pizarro et al. 10.3390/hydrology9070126
- Dominant flood types in mountains catchments: Identification and change analysis for the landscape planning A. Sikorska-Senoner et al. 10.1016/j.jenvman.2023.119905
- Impact of Geology on Seasonal Hydrological Predictability in Alpine Regions by a Sensitivity Analysis Framework M. Stergiadi et al. 10.3390/w12082255
- Seasonality of mean flows as a potential tool for the assessment of ecological processes: Mountain rivers, Polish Carpathians A. Radecki-Pawlik et al. 10.1016/j.scitotenv.2020.136988
1 citations as recorded by crossref.
Latest update: 19 Apr 2024
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...
