Articles | Volume 385
https://doi.org/10.5194/piahs-385-319-2024
https://doi.org/10.5194/piahs-385-319-2024
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Performance assessment of daily GR conceptual rainfall-runoff models in the Upper Benue River (Cameroon) using airGR packages

Rodric Mérimé Nonki, Ernest Amoussou, Raphael Muamba Tshimanga, Djan'na Koubodana Houteta, Domiho Japhet Kodja, Franck Eitel Kemgang Ghomsi, and André Lenouo

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Cited articles

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Coron, L., Delaigue, O., Thirel, G., Dorchies, D., Perrin, C., and Michel, C.: airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling, R Package Version 1.7.4, CRAN [code], https://CRAN.R-project.org/package=airGR (last access: 1 May 2023), 2023. 
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Flores, N., Rodríguez, R., Yépez, S., Osores, V., Rau, P., Rivera, D., and Balocchi, F.: Comparison of Three Daily Rainfall-Runoff Hydrological Models Using Four Evapotranspiration Models in Four Small Forested Watersheds with Different Land Cover in South-Central Chile, Water, 13, 3191, https://doi.org/10.3390/w13223191, 2021. 
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This research aims to evaluate the feasibility of using multiple rainfall-runoff hydrologic models Génie Rural à 4, 5, 6 paramètres Journalier (GR4J, GR5J, and GR6J) in the Upper Benue River (UBR) in Northern Cameroon. By using the Michel's calibration algorithm, we found that the composite criterion is the most sustainable objective function for model optimization. An honest evaluation empirically proves that the GR6J model performs better than the other two models follow by GR5J.