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Prediction of Landslides, Urban floods using Multi-parameter Radar
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.
MP-radar network in a metropolitan area and the nowcasting of rainfall.
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.
Development of an operational tool for real-time flood risk mapping.
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.
Development of system for predicting landslide disasters caused by heavy rainfall.
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.
Study of the long term projection of typhoon disasters
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.
