In this study we investigated the use of satellite-based rainfall datasets for flood prediction purposes. We utilized the United States Geological Survey rainfall runoff model (GeoSFM) with the NOAA CPC_RFE2.0 product to predict the discharge of the Brahmaputra River at Bahadurabad in Bangladesh. We have evaluated the model by comparing the simulated discharge with observed discharge at Bahadurabad. In general the simulated discharges follow the trend of the observed values quite well however, there is a significant difference in the magnitude of the flows. With the CPC_RFE2.0 data from 2002 and 2003 the Nash Sutcliff Coefficient of Efficiency was 0.23 with correlation (r) of 0.59. With the modified CPC_RFE2.0 data with ingestion of local rain gauge data, improvement in the results were obtained. The calibration and validation of the model is still in progress. However, our preliminary results suggest that CPC_RFE2.0 could provide a useful rainfall datasets for flood forecasting purposes in poorly gauged basin scale catchments but needs to be adjusted before application.