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Open AccessArticle

Application of Satellite Rainfall Products for Flood Inundation Modelling in Kelantan River Basin, Malaysia

1
TropicalMap, Faculty of Built Environment and Survey, Universiti Teknologi Malaysia, 81310 UTM, Johor Bahru, Johor, Malaysia
2
Department of Water and Environmental Engineering, School of Civil Engineering, Universiti Teknologi Malaysia, 81310 UTM, Johor Bahru, Johor, Malaysia
*
Author to whom correspondence should be addressed.
Hydrology 2019, 6(4), 95; https://doi.org/10.3390/hydrology6040095
Received: 16 September 2019 / Revised: 25 October 2019 / Accepted: 4 November 2019 / Published: 6 November 2019
The advent of satellite rainfall products can provide a solution to the scarcity of observed rainfall data. The present study aims to evaluate the performance of high spatial-temporal resolution satellite rainfall products (SRPs) and rain gauge data in hydrological modelling and flood inundation mapping. Four SRPs, Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (GPM) - Early, - Late (IMERG-E, IMERG-L), Global Satellite Mapping of Precipitation-Near Real Time (GSMaP-NRT), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks- Cloud Classification System (PERSIANN-CCS) and rain gauge data were used as the primary input to a hydrological model, Rainfall-Runoff-Inundation (RRI) and the simulated flood level and runoff were compared with the observed data using statistical metrics. GSMaP showed the best performance in simulating hourly runoff with the lowest relative bias (RB) and the highest Nash-Sutcliffe efficiency (NSE) of 4.9% and 0.79, respectively. Meanwhile, the rain gauge data was able to produce runoff with −12.2% and 0.71 for RB and NSE, respectively. The other three SRPs showed acceptable results in daily discharge simulation (NSE value between 0.42 and 0.49, and RB value between −23.3% and −31.2%). The generated flood map also agreed with the published information. In general, the SRPs, particularly the GSMaP, showed their ability to support rapid flood forecasting required for early warning of floods. View Full-Text
Keywords: rainfall-runoff; flood inundation; satellite rainfall products; Kelantan River Basin; RRI model rainfall-runoff; flood inundation; satellite rainfall products; Kelantan River Basin; RRI model
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MDPI and ACS Style

Tam, T.H.; Abd Rahman, M.Z.; Harun, S.; Hanapi, M.N.; Kaoje, I.U. Application of Satellite Rainfall Products for Flood Inundation Modelling in Kelantan River Basin, Malaysia. Hydrology 2019, 6, 95.

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