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Hydrol. Earth Syst. Sci., 21, 6201-6217, 2017
https://doi.org/10.5194/hess-21-6201-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
08 Dec 2017
Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling
Hylke E. Beck 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: 'Referee Comment', Anonymous Referee #1, 19 Sep 2017 Printer-friendly Version 
AC1: 'Author responses', Hylke Beck, 19 Oct 2017 Printer-friendly Version Supplement 
 
RC2: 'Review', Anonymous Referee #2, 12 Oct 2017 Printer-friendly Version 
 
RC3: 'Review of "Global-scale evaluation of 23 precipitation datasets using gauge observations and hydrological modeling"', Anonymous Referee #3, 18 Oct 2017 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (20 Oct 2017) by Louise Slater  
AR by Hylke Beck on behalf of the Authors (23 Oct 2017)  Author's response  Manuscript
ED: Publish as is (26 Oct 2017) by Louise Slater  
CC BY 4.0
Publications Copernicus
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Short summary
This study represents the most comprehensive global-scale precipitation dataset evaluation to date. We evaluated 13 uncorrected precipitation datasets using precipitation observations from 76 086 gauges, and 9 gauge-corrected ones using hydrological modeling for 9053 catchments. Our results highlight large differences in estimation accuracy, and hence, the importance of precipitation dataset selection in both research and operational applications.
This study represents the most comprehensive global-scale precipitation dataset evaluation to...
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