Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1299-2018
https://doi.org/10.5194/hess-22-1299-2018
Research article
 | 
20 Feb 2018
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, Juliane Mai, Gorka Mendiguren, Julian Koch, Luis Samaniego, and Simon Stisen

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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 Mehmet Cüneyd Demirel on behalf of the Authors (17 Jan 2018)
ED: Publish as is (18 Jan 2018) by Florian Pappenberger
AR by Mehmet Cüneyd Demirel on behalf of the Authors (19 Jan 2018)  Manuscript 
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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.