天气预报装上“AI大脑”

Core Insights - Shenzhen is accelerating the exploration of artificial intelligence (AI) to enhance precise weather forecasting, with the World Meteorological Organization's first AI pilot project for near-term forecasting launched in the city [2][8] - The Shenzhen Meteorological Bureau, in collaboration with Huawei Cloud, released the AI regional ensemble forecasting model "Zhiji" 2.0 in March 2025 [4] - The application of AI in weather forecasting in Shenzhen aims to address challenges in disaster prevention and mitigation, particularly in the context of extreme weather events [7] Group 1: AI Integration in Meteorology - Shenzhen has focused on integrating AI into meteorology since 2017, addressing issues such as the timeliness and clarity of severe weather warnings [7] - The city is building a collaborative innovation system for AI and meteorology, guided by the "Measures to Accelerate High-Quality Development of Meteorology in Shenzhen" [7] - The "six ones" collaborative innovation system aims to enhance the accuracy of early warning systems for extreme weather events [7] Group 2: AI Weather Forecasting Products - Three AI-driven weather forecasting products have emerged: "Zhiji," "Zhitong," and "Afufu," each targeting specific forecasting challenges [9][10] - "Zhiji" is designed to improve the resolution of forecasts, providing detailed predictions for temperature, rainfall, and wind speed with a spatial resolution of 3 kilometers and a temporal resolution of 1 hour [9] - "Zhitong" focuses on short-term severe weather warnings, successfully extending the effective warning time from 1 hour to 3 hours during significant rainfall events [10] Group 3: Global Impact and Collaboration - Shenzhen's AI meteorological services are redefining the role of meteorology in urban governance, extending beyond weather reporting to include traffic management and emergency response [11] - The city is participating in the World Meteorological Organization's AI Near-Term Weather Prediction pilot project, showcasing its collaborative efforts with international tech giants [12] - Successful case studies, such as the response to Typhoon "Hagupit" and the "8.5" heavy rainfall, demonstrate the effectiveness of AI in enhancing urban disaster prevention capabilities [12]