Extreme weather events such as heavy rainfall are expected to become more frequent in the future as average surface temperatures rise, according to the fifth assessment report of the United Nations Intergovernmental Panel on Climate Change (IPCC).As the most important driving factor of urban waterlogging, flood, landslide and other disasters, extreme rainfall has the characteristics of high dynamic spatiotemporal evolution. Accurate identification and efficient prediction of its structure and spatiotemporal variation play an important role in the change of surface hydrological response.

The Radar Hydrology and Hazards research group focuses on developing the theory and tools needed to address the complex issue of water security in a changing world.Weather radar can obtain the spatio-temporal continuous scale rainfall information, and can realize the upcoming rainfall forecast of 0-3 hours in the future. Based on GIS methods and technologies, we coupled and integrated weather radar into the hydrological disaster assessment and prediction model with high efficiency and accuracy, which will greatly improve the simulation accuracy and extend the effective forecast period of disaster prediction.