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

Viewed

Total article views: 134 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
85 37 12 134 9 8
  • HTML: 85
  • PDF: 37
  • XML: 12
  • Total: 134
  • BibTeX: 9
  • EndNote: 8
Views and downloads (calculated since 18 Apr 2024)
Cumulative views and downloads (calculated since 18 Apr 2024)

Viewed (geographical distribution)

Total article views: 123 (including HTML, PDF, and XML) Thereof 123 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
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.