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

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

doi:https://doi.org/10.5194/piahs-385-319-2024

Articles | Volume 385

https://doi.org/10.5194/piahs-385-319-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/piahs-385-319-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 385

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

Model code and software

airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling L. Coron, O. Delaigue, G. Thirel, D. Dorchies, C. Perrin, and C. Michel https://CRAN.R-project.org/package=airGR

Short summary

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.