Evaluating the skill of the mesoscale Hydrologic Model (mHM) for discharge simulation in sparsely-gauged basins in Nigeria

Ogbu, Kingsley Nnaemeka; Rakovec, Oldrich; Samaniego, Luis; Okafor, Gloria Chinwendu; Tischbein, Bernhard; Meresa, Hadush

doi:https://doi.org/10.5194/piahs-385-211-2024

Articles | Volume 385

https://doi.org/10.5194/piahs-385-211-2024

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

https://doi.org/10.5194/piahs-385-211-2024

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

Articles | Volume 385

Post-conference publication

|

18 Apr 2024

Post-conference publication |

| 18 Apr 2024

Evaluating the skill of the mesoscale Hydrologic Model (mHM) for discharge simulation in sparsely-gauged basins in Nigeria

Kingsley Nnaemeka Ogbu, Oldrich Rakovec, Luis Samaniego, Gloria Chinwendu Okafor, Bernhard Tischbein, and Hadush Meresa

Data sets

mesoscale Hydrologic Model - mHM v5.11.2 Luis Samaniego, Johannes Brenner, John Craven, et al. https://doi.org/10.5281/zenodo.1069202

Short summary

In this study, the MPR-mHM technique was applied in four data-scarce basins in Nigeria. Remotely sensed rainfall datasets were used as model forcings to evaluate the mHM capability in reproducing observed stream discharge under single and multivariable model calibration frameworks. Overall, model calibration performances displayed satisfactory outputs as evident in the Kling-Gupta Efficiency (KGE) scores across most basins.