I learned from the National Satellite Meteorological Center of the China Meteorological Administration that China has now developed a deep diffusion model based on Fengyun meteorological satellite data, which has successfully extended the effective period for forecasting approaching strong convective weather to 4 hours. This marks a key breakthrough in intelligent weather forecasting technology based on autonomous satellite data, and will provide stronger technical support for disaster prevention and mitigation. According to our understanding, strong convective weather has characteristics such as strong suddenness, rapid evolution, and high destructive power. The core challenge of forecasting the proximity is to capture the rapid nonlinear evolution of small to medium scale systems. Currently, accurate forecasting of strong convective weather is still a common problem in the field of international meteorology. This research will provide earlier, more accurate, and more reliable technical support for disaster prevention and mitigation in strong convective weather such as torrential rain, thunderstorms, and short-term high winds, and effectively enhance the ability of the whole society to cope with extreme weather and climate resilience.

I learned from the National Satellite Meteorological Center of the China Meteorological Administration that China has now developed a deep diffusion model based on Fengyun meteorological satellite data, which has successfully extended the effective period for forecasting approaching strong convective weather to 4 hours. This marks a key breakthrough in intelligent weather forecasting technology based on autonomous satellite data, and will provide stronger technical support for disaster prevention and mitigation. According to our understanding, strong convective weather has characteristics such as strong suddenness, rapid evolution, and high destructive power. The core challenge of forecasting the proximity is to capture the rapid nonlinear evolution of small to medium scale systems. Currently, accurate forecasting of strong convective weather is still a common problem in the field of international meteorology. This research will provide earlier, more accurate, and more reliable technical support for disaster prevention and mitigation in strong convective weather such as torrential rain, thunderstorms, and short-term high winds, and effectively enhance the ability of the whole society to cope with extreme weather and climate resilience.