Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-1113-2019
https://doi.org/10.5194/hess-23-1113-2019
Research article
 | 
28 Feb 2019
Research article |  | 28 Feb 2019

Multi-site calibration and validation of SWAT with satellite-based evapotranspiration in a data-sparse catchment in southwestern Nigeria

Abolanle E. Odusanya, Bano Mehdi, Christoph Schürz, Adebayo O. Oke, Olufiropo S. Awokola, Julius A. Awomeso, Joseph O. Adejuwon, and Karsten Schulz

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Cited articles

Abaho, P., Amanda, B., Kigobe, M., Kizza, M., and Rugumayo, A.: Climate Change and its Impacts on River Flows and Recharge in the Sezibwa Catchment, Uganda, Second Int. Conf. Adv. Eng. Technol., E.G.S. Pillay Engineering College, Nagapattinam, TamilNadu, India, 30–31 March 2012, 572–578, 2012. 
Abbaspour, K. C.: SWAT-CUP: SWAT Calibration and Uncertainty Programs- A User Manual,Department of Systems Analysis,Intergrated Assessment and Modelling (SIAM), EAWAG. Swiss Federal Institute of Aqualtic Science and Technology, Duebendorf, Switzerland, User Man., 100 pp., https://doi.org/10.1007/s00402-009-1032-4, 2015. 
Abbaspour, K. C., Johnson, C. A., and van Genuchten, M. T.: Estimating Uncertain Flow and Transport Parameters Using a Sequential Uncertainty Fitting Procedure, Vadose Zone J., 3, 1340–1352, https://doi.org/10.2136/vzj2004.1340, 2004. 
Abera, W., Formetta, G., Brocca, L., and Rigon, R.: Modeling the water budget of the Upper Blue Nile basin using the JGrass-NewAge model system and satellite data, Hydrol. Earth Syst. Sci., 21, 3145–3165, https://doi.org/10.5194/hess-21-3145-2017, 2017. 
Adeogun, A. G., Sule, B. F., Salami, A. W., and Okeola, O. G.: Gis-Based Hydrological Modelling Using SWAT: Case Study of Upstream Watershed of Jebba Reservoir in Nigeria, Niger. J. Technol., 33, 351–358, https://doi.org/10.4314/njt.v33i3.13, 2014. 
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Short summary
The main objective was to calibrate and validate the eco-hydrological model Soil and Water Assessment Tool (SWAT) with satellite-based actual evapotranspiration (AET) data for the data-sparse Ogun River Basin (20 292 km2) located in southwestern Nigeria. The SWAT model, composed of the Hargreaves PET equation and calibrated using the GLEAM_v3.0a data (GS1), performed well for the simulation of AET and provided a good level of confidence for using the SWAT model as a decision support tool.
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