To support decision-makers in flood disaster management, a real-time flood monitoring system was established in the Niger and Volta basins under the Water disaster platform to enhance climate resilience in Africa (WADiRE-Africa). The system utilized real-time satellite rainfall data to bridge the gap between data scarcity and inaccessibility and a hydrological model to simulate the inundation extents at basin and hotspot scales. Presently, the prototype system is under testing in both basins.

The study provides valuable insights into the use of cutting-edge technologies for real-time extreme flow modelling and disaster risk reduction strategies in data-scarce regions. The methodology presented here improved forecasting lead time and accuracy of real-time satellite precipitations. This highlights the practical implications of public domain datasets and models for informed decision-making. The study can complement informed decision-making for flood preparedness in transboundary basins.

The study evaluated how well a GCM can reproduce the past weather patterns linked to the heavy rainfall events in Davao river basin by using raingauge and ERA5 data as reference. Our findings show that MRI-AGCM 3.2S reproduced similar weather patterns in JJA and DJF seasons as compared to ERA5 but due to small differences in configuration lead to biases in the local rainfall. This method can be also applied to other river basins and for evaluating how the future local rainfall will change.

This paper presents a trial estimation result of quantitative flood damage reduction effect by installing a spillway on a riverine levee in a protected area for promoting the “River Basin Disaster Resilience and Sustainability by All” (Ryuuiki-chisui) initiative which is strongly promoted in Japan. The result shows that flood damage is considerably reduced, e.g. average annual damage to paddy fields in the area can be expected to decrease, although the inundation frequency will increase.