Articles | Volume 20, issue 2
https://doi.org/10.5194/hess-20-887-2016
https://doi.org/10.5194/hess-20-887-2016
Research article
 | 
26 Feb 2016
Research article |  | 26 Feb 2016

Accounting for dependencies in regionalized signatures for predictions in ungauged catchments

Susana Almeida, Nataliya Le Vine, Neil McIntyre, Thorsten Wagener, and Wouter Buytaert

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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: Reconsider after major revisions (12 Oct 2015) by Vazken Andréassian
AR by Susana Almeida on behalf of the Authors (31 Oct 2015)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (26 Nov 2015) by Vazken Andréassian
RR by Anonymous Referee #1 (31 Jan 2016)
ED: Publish subject to minor revisions (Editor review) (31 Jan 2016) by Vazken Andréassian
AR by Susana Almeida on behalf of the Authors (06 Feb 2016)  Author's response   Manuscript 
ED: Publish as is (18 Feb 2016) by Vazken Andréassian
AR by Susana Almeida on behalf of the Authors (18 Feb 2016)
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Short summary
The absence of flow data to calibrate hydrologic models may reduce the ability of such models to reliably inform water resources management. To address this limitation, it is common to condition hydrological model parameters on regionalized signatures. In this study, we justify the inclusion of larger sets of signatures in the regionalization procedure if their error correlations are formally accounted for and thus enable a more complete use of all available information.