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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 19, issue 6 | Copyright
Hydrol. Earth Syst. Sci., 19, 2859-2879, 2015
https://doi.org/10.5194/hess-19-2859-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 22 Jun 2015

Research article | 22 Jun 2015

Towards observation-based gridded runoff estimates for Europe

L. Gudmundsson and S. I. Seneviratne
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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: Reconsider after major revisions (21 Feb 2015) by Vazken Andréassian
AR by Anna Wenzel on behalf of the Authors (18 Mar 2015)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Mar 2015) by Vazken Andréassian
RR by Anonymous Referee #3 (23 Mar 2015)
RR by Balazs Fekete (07 Apr 2015)
ED: Reconsider after major revisions (07 Apr 2015) by Vazken Andréassian
AR by Lukas Gudmundsson on behalf of the Authors (05 May 2015)  Author's response    Manuscript
ED: Publish as is (20 May 2015) by Vazken Andréassian
Publications Copernicus
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Short summary
Water storages and fluxes on land are key variables in the Earth system. To provide context for local investigations and to understand phenomena that emerge at large spatial scales, information on continental freshwater dynamics is needed. This paper presents a methodology to estimate continental-scale runoff on a 0.5° spatial grid, which combines the advantages of in situ observations with the power of machine learning regression. The resulting runoff estimates compare well with observations.
Water storages and fluxes on land are key variables in the Earth system. To provide context for...
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