AI for Multi-hazard Early Warning and Rainfall Modeling
Research, development, and application of multi-hazard early-warning technologies and rainfall foundation models, advanced at the Institute of Chengdu High-Tech Disaster Reduction and the Institute of Mountain Hazards and Environment (2024–2026), and continuing as a core line of doctoral research.
Featured outcome · RainGod-100
RainGod-100 Precipitation Nowcasting Model
A precipitation nowcasting model that fuses satellite, weather-radar, and rain-gauge observations with physical modeling and artificial intelligence to directly produce rainfall forecasts up to two hours ahead, supporting early warning for flash floods, debris flows, landslides, and urban flooding.
Personal contribution: contributed to the model's design, training, and release.
Overview
Research, development, and application of multi-hazard early-warning technologies and rainfall foundation models. The work was advanced at the Institute of Chengdu High-Tech Disaster Reduction and the Institute of Mountain Hazards and Environment from 2024 to 2026, and continues as a core line of doctoral research.
Scope
- Multi-hazard monitoring, forecasting, and early-warning technologies
- Precipitation nowcasting and rainfall foundation models
- From model research and system development to real-world application