期刊
REMOTE SENSING
卷 9, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/rs9100998
关键词
satellite rainfall observation; flood monitoring; flood inundation simulation; rainfall runoff model
类别
资金
- Ministry of Agriculture, Forestry, and Fisheries (MAFF), Japan
- CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS), Water, Land, and Ecosystems (WLE)
- International Water Management Institute (IWMI)
The performance of Satellite Rainfall Estimate (SRE) products applied to flood inundation modelling was tested for the Mundeni Aru River Basin in eastern Sri Lanka. Three SREs (PERSIANN, TRMM, and GSMaP) were tested, with the Rainfall-Runoff-Inundation (RRI) model used as the flood inundation model. All the SREs were found to be suitable for applying to the RRI model. The simulations created by applying the SREs were generally accurate, although there were some discrepancies in discharge due to differing precipitation volumes. The volumes of precipitation of the SREs tended to be smaller than those of the gauged data, but using a scale factor to correct this improved the simulations. In particular, the SRE, i.e., the GSMaP yielding the best simulation that correlated most closely with the flood inundation extent from the satellite data, was considered the most appropriate to apply to the model calculation. The application procedures and suggestions shown in this study could help authorities to make better-informed decisions when giving early flood warnings and making rapid flood forecasts, especially in areas where in-situ observations are limited.
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