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Hydrol. Earth Syst. Sci., 21, 2863-2879, 2017
https://doi.org/10.5194/hess-21-2863-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
12 Jun 2017
Understanding hydrologic variability across Europe through catchment classification
Anna Kuentz 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
 
RC1: 'Review of “Understanding Hydrologic Variability across Europe through Catchment Classification”', Anonymous Referee #1, 13 Oct 2016 Printer-friendly Version 
AC1: 'Reply to Referee #1', Anna Kuentz, 03 Nov 2016 Printer-friendly Version Supplement 
 
RC2: 'Use a subset of catchments for validation', Martijn Westhoff, 14 Oct 2016 Printer-friendly Version 
AC2: 'Reply to Dr. M.C. Westhoff (Referee #2)', Anna Kuentz, 03 Nov 2016 Printer-friendly Version Supplement 
 
RC3: 'Review of Kuentz et al. paper', Anonymous Referee #3, 27 Oct 2016 Printer-friendly Version 
AC3: 'Reply to Referee #3', Anna Kuentz, 25 Nov 2016 Printer-friendly Version Supplement 
 
EC1: 'Editor's comment', Bettina Schaefli, 28 Oct 2016 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (06 Dec 2016) by Bettina Schaefli  
AR by Anna Kuentz on behalf of the Authors (03 Mar 2017)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (06 Mar 2017) by Bettina Schaefli
RR by Martijn Westhoff (04 Apr 2017)  
RR by Anonymous Referee #3 (04 Apr 2017)  
RR by Anonymous Referee #1 (06 Apr 2017)  
ED: Publish subject to technical corrections (21 Apr 2017) by Bettina Schaefli  
AR by Anna Kuentz on behalf of the Authors (28 Apr 2017)  Author's response  Manuscript
CC BY 4.0
Publications Copernicus
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Short summary
Our study aims to explore and understand the physical controls on spatial patterns of pan-European flow signatures by taking advantage of large open datasets. Using tools like correlation analysis, stepwise regressions and different types of catchment classifications, we explore the relationships between catchment descriptors and flow signatures across 35 215 catchments which cover a wide range of pan-European physiographic and anthropogenic characteristics.
Our study aims to explore and understand the physical controls on spatial patterns of...
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