Publication Details |
| Category | Text Publication |
| Reference Category | Conference papers |
| DOI | 10.5194/piahs-385-211-2024 |
Licence  |
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| Title (Primary) | Evaluating the skill of the mesoscale Hydrologic Model (mHM) for discharge simulation in sparsely-gauged basins in Nigeria |
| Title (Secondary) | Hydrological Sciences in the Anthropocene. Vol. 2: Variability and change across space, time, extremes, and interfaces - IAHS Scientific Assembly 2022, Montpellier, 29 May-3 June 2022 |
| Author | Ogbu, K.N.; Rakovec, O.
; Samaniego, L.
; Okafor, G.C.; Tischbein, B.; Meresa, H. |
| Publisher | Cudennec, C.; Grimaldi, S. |
| Source Titel | Proceedings of IAHS |
| Year | 2024 |
| Department | CHS |
| Volume | 385 |
| Page From | 211 |
| Page To | 218 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Data and Software links | https://doi.org/10.5281/zenodo.1069202 |
| Keywords | UPH 20; MPR; discharge; CHIRPS |
| Abstract | Predictive hydrologic modelling to understand and support agricultural water resources management and food security policies in Nigeria is a demanding task due to the paucity of hydro-meteorological measurements. This study assessed the skill of using different remotely sensed rainfall products in a multi-calibration framework for evaluating the performance of the mesoscale hydrologic Model (mHM) across four different data-scarce basins in Nigeria. Grid-based rainfall estimates obtained from several sources were used to drive the mHM in different basins in Nigeria. Model calibration was first performed using only discharge records, and also by using a combination of discharge and actual evapotranspiration, forced with different rainfall products. The mHM forced with CHIRPS produced reasonable Kling-Gupta efficiency KGE) results (0.5> KGE <0.85) under both calibration frameworks. However, constraining model parameters under a multi-calibration arrangement showed no significant discharge simulation improvement in this study. Results show the utility of the mHM for discharge simulation in data-sparse basins in Nigeria. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30114 |
| Ogbu, K.N., Rakovec, O., Samaniego, L., Okafor, G.C., Tischbein, B., Meresa, H. (2024): Evaluating the skill of the mesoscale Hydrologic Model (mHM) for discharge simulation in sparsely-gauged basins in Nigeria In: Cudennec, C., Grimaldi, S. (eds.) Hydrological Sciences in the Anthropocene. Vol. 2: Variability and change across space, time, extremes, and interfaces - IAHS Scientific Assembly 2022, Montpellier, 29 May-3 June 2022 Proceedings of IAHS 385 International Association of Hydrological Sciences (IAHS), Wallingford, Oxfordshire, 211 - 218 10.5194/piahs-385-211-2024 |
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