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Hydrology 2016, 3(2), 15; doi:10.3390/hydrology3020015

Hydrological Evaluation of TRMM Rainfall over the Upper Senegal River Basin

1
Laboratoire Leïdi “Dynamique des territoires et développement”, Université Gaston Berger (UGB), BP 234 Saint Louis, Senegal
2
IRD, UMR HydroSciences Montpellier, Laboratoire Mixte International (LMI) TREMA (Télédétection et Ressources en Eau en Méditerranée semi-Aride), Centre Geber salle 26, Faculté des Sciences Semlalia, Université Cadi Ayyad, BP 2390 Marrakech, Maroc
3
Laboratoire LSAO “Laboratoire des Sciences de l’Atmosphère et de l’Océan”, Université Gaston Berger (UGB), BP 234 Saint Louis, Senegal
4
UFR S2ATA “Sciences Agronomiques, de l’Aquaculture et des Technologies Alimentaires”, Université Gaston Berger (UGB), BP 234 Saint Louis, Senegal
5
Department of Food, Agricultural and Biological Engineering, Ohio State University, Columbus, OH 43210, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Kwok-wing Chau
Received: 12 March 2016 / Revised: 8 April 2016 / Accepted: 8 April 2016 / Published: 15 April 2016
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Abstract

The availability of climatic data, especially on a daily time step, has become very rare in West Africa over the last few years due to the high costs of climate data monitoring. This scarcity of climatic data is a huge obstacle to conduct hydrological studies over some watersheds. In this context, our study aimed to evaluate the capacity of Tropical Rainfall Measuring Mission (TRMM) satellite data to simulate the observed runoffs over the Bafing (the main important tributary of the Senegal River) before their potential integration in hydrological studies. The conceptual hydrological model GR4J (modèle du Génie Rural (Agricultural Engineering Model) à 4 paramètres Journalier (4 parameters Daily)) has been used, calibrated and validated over the 1961–1997 period with rainfall and Potential Evapotranspiration (PET) as inputs. Then, the parameters that best reflect the rainfall-runoff relation, obtained during the cross-calibration-validation phase, were used to simulate runoff over the 1998–2004 period using observed and TRMM rainfalls. The findings of this study show that there is a high consistency between satellite-based estimates and ground-based observations of rainfall. Over the 1998–2004 simulation period, the two rainfall data series show quite satisfactorily results. The output hydrographs from satellite-based estimates and ground-based observations of rainfall coincide quite well with the shape of observed hydrographs with Nash-Sutcliffe Efficiency coefficient (NSE) of 0.88 and 0.80 for observed rainfalls and TRMM rainfalls, respectively. View Full-Text
Keywords: upper Senegal River basin; TRMM rainfall; GR4J; rainfall-runoff modeling; water resources upper Senegal River basin; TRMM rainfall; GR4J; rainfall-runoff modeling; water resources
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bodian, A.; Dezetter, A.; Deme, A.; Diop, L. Hydrological Evaluation of TRMM Rainfall over the Upper Senegal River Basin. Hydrology 2016, 3, 15.

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