Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5379-2020
© Author(s) 2020. 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-24-5379-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Nov 2020
Research article |
| 16 Nov 2020
| 16 Nov 2020
Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa
Institute of Earth Surface Dynamics, Faculty of Geosciences and
Environment, University of Lausanne, 1015 Lausanne, Switzerland
Bettina Schaefli
Institute of Earth Surface Dynamics, Faculty of Geosciences and
Environment, University of Lausanne, 1015 Lausanne, Switzerland
now at: Institute of Geography, Faculty of Science, University of
Bern, 3012 Bern, Switzerland
Nick van de Giesen
Water Resources Section, Faculty of Civil Engineering and Geosciences,
Delft University of Technology, Stevinweg 1, 2628 CN Delft, the Netherlands
Grégoire Mariéthoz
Institute of Earth Surface Dynamics, Faculty of Geosciences and
Environment, University of Lausanne, 1015 Lausanne, Switzerland
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Latest update: 13 Dec 2024
Short summary
This study evaluates 102 combinations of rainfall and temperature datasets from satellite and reanalysis sources as input to a fully distributed hydrological model. The model is recalibrated for each input dataset, and the outputs are evaluated with streamflow, evaporation, soil moisture and terrestrial water storage data. Results show that no single rainfall or temperature dataset consistently ranks first in reproducing the spatio-temporal variability of all hydrological processes.
This study evaluates 102 combinations of rainfall and temperature datasets from satellite and...
