Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Hydrol. Earth Syst. Sci., 20, 887-901, 2016
https://doi.org/10.5194/hess-20-887-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
26 Feb 2016
Accounting for dependencies in regionalized signatures for predictions in ungauged catchments
Susana Almeida et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC C2425: 'Two-step regionalization of a rainfall-runoff model', Anonymous Referee #1, 07 Jul 2015 Printer-friendly Version 
AC C3593: 'Response to Referee 1', Susana Almeida, 10 Sep 2015 Printer-friendly Version Supplement 
 
RC C2470: 'Comment on HESSD-12-5389-2015 paper', Anonymous Referee #2, 09 Jul 2015 Printer-friendly Version 
AC C3594: 'Response to Referee 2', Susana Almeida, 10 Sep 2015 Printer-friendly Version Supplement 
 
RC C2552: 'Review of Almeida et al. paper', Anonymous Referee #3, 13 Jul 2015 Printer-friendly Version 
AC C3595: 'Response to Referee 3', Susana Almeida, 10 Sep 2015 Printer-friendly Version Supplement 
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
CC BY 4.0
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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.
The absence of flow data to calibrate hydrologic models may reduce the ability of such models to...
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