The aim of the research project is to improve the accuracy of heavy rainfall nowcasting and to develop a system for predicting landslides and urban flooding.
We are researching ways to estimate rain and wind distribution at high spatial resolution in real time, and to develop a one-hour rainfall nowcasting method using our MP-radar network in a metropolitan area.
Real-time flood risk mapping has been carried out using estimated rainfall, including forecasted rainfall, as predicted by MP radar. Our goals are practical one-hour predictions and detailed flood risk mapping every 10 minutes at a 10m resolution.
We are studying techniques for forecasting the risk of shallow landslides, landslide times and affected ranges. Our goal is to develop a system for predicting landslides.
We are developing techniques for the prediction of typhoon disasters and the mapping of their risk levels due to climate changes such as a global warming, using a typhoon data base (NIED-DTD), a coastline data base, and numerical simulations.