Capability of Satellite Rainfall Products in Simulating Streamflow at the Ogun-Osun River Basin, Ogun State, Nigeria
Student: Ogheneruno Favour Iruetere (Project, 2025)
Department of Civil Engineering
Federal University of Technology Akure, Ondo State
Abstract
This study examines the performance of several satellite rainfall products— CMORPH, PERSIANN-CDR, CHIRPS and IMERG—in simulating stream-flow within the Ogun-Osun River Basin, Nigeria. Satellite-derived data is especially useful for hydro-logical modeling in areas with limited ground-based rainfall measurements. Using these satellite rainfall inputs, a hydro-logical model was built, and the resulting simulated stream-flow was compared to observed data from gauging stations. IMERG emerged as the most accurate product, with a Nash-Sutcliffe Efficiency (NSE) of 0.71, successfully capturing both peak flows and base flow. In contrast, PERSIANN-CDR and CHIRPS were less effective, particularly in forecasting high-intensity rainfall events. The study underscores the importance of satellite rainfall products in improving flood prediction and water resource management, though uncertainties in the rainfall data still present challenges. It is recommended to combine multiple satellite datasets and extend ground-based observation networks for greater accuracy in stream-flow simulations.
Keywords
For the full publication, please contact the author directly at: iruetereofcve2019@futa.edu.ng
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Institutions
- AVE-MARIA UNIVERSITY, PIYANKO, NASARAWA STATE 1
- Babcock University, Ilishan-Remo, Ogun State 7
- Bamidele Olumilua University of Edu. Science and Tech. Ikere Ekiti, Ekiti State 454
- Bauchi State College of Agriculture, Bauchi, Bauchi State 1
- Bauchi State University, Gadau, Bauchi State 16
- Bayelsa State Polytechnic, Aleibiri, Bayelsa State 13
- Bayero University, Kano, Kano State 586
- Benue State Polytechnic, Ugbokolo, Benue State 10
- Benue State University, Makurdi, Benue State 47
- Bingham University, Karu, Nasarawa State 3