Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5379-2020
https://doi.org/10.5194/hess-24-5379-2020
Research article
 | 
16 Nov 2020
Research article |  | 16 Nov 2020

Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa

Moctar Dembélé, Bettina Schaefli, Nick van de Giesen, and Grégoire Mariéthoz

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (05 Aug 2020) by Albrecht Weerts
AR by Moctar Dembélé on behalf of the Authors (12 Aug 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (17 Aug 2020) by Albrecht Weerts
RR by Nadav Peleg (23 Aug 2020)
ED: Publish subject to minor revisions (review by editor) (07 Oct 2020) by Albrecht Weerts
AR by Moctar Dembélé on behalf of the Authors (08 Oct 2020)  Author's response   Manuscript 
ED: Publish as is (09 Oct 2020) by Albrecht Weerts
AR by Moctar Dembélé on behalf of the Authors (09 Oct 2020)  Manuscript 
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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.