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.
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.
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.
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- 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
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- 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
- Catchment Storage and its Influence on Summer Low Flows in Central European Mountainous Catchments V. Šípek et al. 10.1007/s11269-021-02871-x
- Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. 10.1029/2019WR024945
- 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
- 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
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11 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
- Massive feature extraction for explaining and foretelling hydroclimatic time series forecastability at the global scale G. Papacharalampous et al. 10.1016/j.gsf.2022.101349
- 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
- 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
- Catchment Storage and its Influence on Summer Low Flows in Central European Mountainous Catchments V. Šípek et al. 10.1007/s11269-021-02871-x
- Global‐Scale Prediction of Flood Timing Using Atmospheric Reanalysis H. Do et al. 10.1029/2019WR024945
- 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
- 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: 20 May 2022
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...
