Articles | Volume 22, issue 2
Hydrol. Earth Syst. Sci., 22, 1299–1315, 2018
Hydrol. Earth Syst. Sci., 22, 1299–1315, 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 et al.

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Cited articles

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Berezowski, T., Nossent, J., Chormański, J., and Batelaan, O.: Spatial sensitivity analysis of snow cover data in a distributed rainfall-runoff model, Hydrol. Earth Syst. Sci., 19, 1887–1904,, 2015.
Beven, K. and Freer, J.: Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology, J. Hydrol., 249, 11–29,, 2001.
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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.