Articles | Volume 22, issue 2
https://doi.org/10.5194/hess-22-1299-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-1299-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model
Geological Survey of Denmark and Greenland, Øster Voldgade 10, 1350 Copenhagen, Denmark
Department of Civil Engineering, Istanbul Technical University, 34469 Maslak, Istanbul, Turkey
Juliane Mai
Department Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Canada
Gorka Mendiguren
Geological Survey of Denmark and Greenland, Øster Voldgade 10, 1350 Copenhagen, Denmark
Department of Environmental Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Julian Koch
Geological Survey of Denmark and Greenland, Øster Voldgade 10, 1350 Copenhagen, Denmark
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Luis Samaniego
Department Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany
Geological Survey of Denmark and Greenland, Øster Voldgade 10, 1350 Copenhagen, Denmark
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61 citations as recorded by crossref.
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- Estimating Net Irrigation Across the North China Plain Through Dual Modeling of Evapotranspiration J. Koch et al. 10.1029/2020WR027413
- Regionalization of hydrological model parameters using gradient boosting machine Z. Song et al. 10.5194/hess-26-505-2022
- Integrating remote sensing data in optimization of a national water resources model to improve the spatial pattern performance of evapotranspiration M. Soltani et al. 10.1016/j.jhydrol.2021.127026
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- Constraining Conceptual Hydrological Models With Multiple Information Sources R. Nijzink et al. 10.1029/2017WR021895
- On the contribution of remote sensing-based calibration to model hydrological and hydraulic processes in tropical regions A. Meyer Oliveira et al. 10.1016/j.jhydrol.2021.126184
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1 citations as recorded by crossref.
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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...