Nevertheless, a recent report has indicated that low- and middle-income countries, which suffer severe flood damage, are still far behind in the necessary aspects of FEWS (i.e., data collection, forecasting tools, and communication methods), whereas developing countries appear to be relatively progressing.

Flood Early Warning Systems (FEWS) are identified as one of the effective methods for flood risk management and they are crucial for the achievement of the Sendai Framework for Disaster Risk Reduction targets and the Sustainable Development Goals advocated by the United Nations International Strategy for Disaster Reduction. Information derived from both satellite and ensemble forecasts on heavy rainfall, simulated flood signals, and their possible range of probabilities is promising and can help minimize the data gaps and improve the knowledge and technology of experts and policy-makers in poorly gauged basins.Ĭlimate change continues to increase the frequency and severity of flood and storm disasters, which are found to be a major impediment to sustainable development. Ensemble rainfall forecasts showed good performance in predicting alarming signals of heavy rainfall and peak flow with uncertainties in the amounts and timings of the events. Particularly, GSMaP-NRT, which outperformed GSMaP-NOW in both rainfall and discharge estimations, is suitable for near-real-time flood-related applications. Satellite rainfall products obtained in real time (GSMaP-NOW) and near-real time (GSMaP-NRT) can detect heavy rainfall events well and bias-corrected products can further improve rainfall estimations and flood simulations. This paper presents a catchment-scale integrated flood information system by incorporating present-day multi-platform data and technologies (e.g., ground and satellite rainfall observation, ensemble rainfall forecasts, and flood simulation) and evaluates their performance in a poorly gauged prototype basin (i.e., the Kalu River basin). Flood early warning systems (FEWS) are crucial for flood risk management however, several catchments in the developing world are still far behind in all aspects of FEWS and thus, they encounter devastating damage recurrently due to limitations in data, knowledge, and technologies.

Aida 65 extreme