Group 1 - The article discusses the increasing frequency and intensity of extreme weather events due to global warming, highlighting recent heavy rainfall in Beijing and its implications for disaster preparedness and response [1][9] - Zhang Qinghong, a professor at Peking University, emphasizes the challenges in accurately predicting extreme precipitation events, particularly those caused by small-scale convective systems [3][4] - The article notes that the predictability of extreme rainfall is constrained by current observational systems and weather prediction models, which are affected by the non-linear dynamics of weather systems [4][11] Group 2 - The T8 atmospheric circulation pattern is identified as a significant factor influencing summer rainfall in northern China, with historical data showing its correlation with extreme precipitation events [7][8] - The article mentions that the northward shift of the subtropical high-pressure system may lead to changes in rainfall patterns in the Northern Hemisphere, affecting regions like Beijing [9][10] - Zhang advocates for a collaborative approach to weather warning systems, involving government, research institutions, media, and the public to enhance the effectiveness of early warning mechanisms [13][15] Group 3 - The article highlights the need for urban infrastructure to adapt to increasing extreme weather events, suggesting that current designs based on historical data may not suffice [16][17] - Public participation in weather observation and reporting is emphasized as crucial for improving disaster response and enhancing predictive models [16][19] - The impact of hail on agriculture and renewable energy infrastructure is discussed, with a call for better understanding of hail formation processes to improve forecasting capabilities [17][19]