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Hydrol. Earth Syst. Sci., 22, 1299-1315, 2018
https://doi.org/10.5194/hess-22-1299-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Volume 22, issue 2
Research article
20 Feb 2018
Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model
Mehmet C. Demirel 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 “Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model“ by Demirel et al.', Heye Bogena, 20 Oct 2017 Printer-friendly Version 
AC1: 'Reply to reviewer 1', Mehmet C. Demirel, 27 Dec 2017 Printer-friendly Version Supplement 
 
RC2: 'Interactive comment on “Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model” by Mehmet C. Demirel et al.', Renata Romanowicz, 27 Oct 2017 Printer-friendly Version 
AC2: 'Reply to reviewer 2', Mehmet C. Demirel, 27 Dec 2017 Printer-friendly Version Supplement 
 
RC3: 'Review of "Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model"', Giacomo Bertoldi, 06 Dec 2017 Printer-friendly Version Supplement 
AC3: 'Reply to reviewer 3', Mehmet C. Demirel, 27 Dec 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (04 Jan 2018) by Florian Pappenberger  
AR by Anna Mirena Feist-Polner on behalf of the Authors (18 Jan 2018)  Author's response  Manuscript
ED: Publish as is (18 Jan 2018) by Florian Pappenberger
CC BY 4.0
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Short summary
Satellite data offer great opportunities to improve spatial model predictions by means of spatially oriented model evaluations. In this study, satellite images are used to observe spatial patterns of evapotranspiration at the land surface. These spatial patterns are utilized in combination with streamflow observations in a model calibration framework including a novel spatial performance metric tailored to target the spatial pattern performance of a catchment-scale hydrological model.
Satellite data offer great opportunities to improve spatial model predictions by means of...
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