Details zur Publikation

Kategorie Textpublikation
Referenztyp Tagungsbeiträge
DOI 10.5194/piahs-385-211-2024
Lizenz creative commons licence
Titel (primär) Evaluating the skill of the mesoscale Hydrologic Model (mHM) for discharge simulation in sparsely-gauged basins in Nigeria
Titel (sekundär) 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
Autor Ogbu, K.N.; Rakovec, O. ORCID logo ; Samaniego, L. ORCID logo ; Okafor, G.C.; Tischbein, B.; Meresa, H.
Herausgeber Cudennec, C.; Grimaldi, S.
Quelle Proceedings of IAHS
Erscheinungsjahr 2024
Department CHS
Band/Volume 385
Seite von 211
Seite bis 218
Sprache englisch
Topic T5 Future Landscapes
Daten-/Softwarelinks 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.
dauerhafte UFZ-Verlinkung 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