Core Insights - Typhoon "Haikashan" made landfall on September 24, with maximum wind speeds of 13 levels (40 m/s) and a minimum central pressure of 955 hPa [1] - The typhoon's intensity decreased significantly before landfall, dropping from maximum wind speeds of 17 levels to 14 levels due to energy consumption from land friction and shallow coastal waters [3] Group 1: Typhoon Characteristics - Typhoon "Haikashan" is characterized by its large size, requiring substantial energy to maintain its strength [3] - The storm's path shifted westward due to the influence of subtropical high pressure and weak cold air from the north, causing a change in its movement direction along the western coast of Guangdong [3] Group 2: Meteorological Advances - The prediction of typhoon paths relies on numerical weather prediction models, utilizing supercomputers to calculate atmospheric changes [6] - The integration of drone data and advanced modeling has improved the accuracy of typhoon path forecasts and precipitation predictions [6] - Artificial intelligence is enhancing meteorological forecasting, with systems like the "Zhiji" model providing more precise predictions for typhoon paths and impact areas [6][7] Group 3: Monitoring and Early Warning Systems - The evolution of typhoon path prediction is a result of the interplay between data, models, and human expertise, creating a sophisticated monitoring and early warning network [7] - Technological advancements are reducing prediction errors, providing critical time for disaster prevention and mitigation efforts [7]