Articles | Volume 23, issue 1
Hydrol. Earth Syst. Sci., 23, 73–91, 2019
https://doi.org/10.5194/hess-23-73-2019
Hydrol. Earth Syst. Sci., 23, 73–91, 2019
https://doi.org/10.5194/hess-23-73-2019

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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (16 Jul 2018) by Louise Slater
AR by Theano Iliopoulou on behalf of the Authors (27 Aug 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (09 Sep 2018) by Louise Slater
RR by Anonymous Referee #1 (19 Sep 2018)
RR by Anonymous Referee #3 (24 Oct 2018)
ED: Publish subject to revisions (further review by editor and referees) (31 Oct 2018) by Louise Slater
AR by Theano Iliopoulou on behalf of the Authors (16 Nov 2018)  Author's response
ED: Publish as is (06 Dec 2018) by Louise Slater
AR by Theano Iliopoulou on behalf of the Authors (14 Dec 2018)  Author's response    Manuscript
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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.