Core Insights - The article discusses the advancements in artificial intelligence (AI) models for meteorological services in response to increasing climate variability and extreme weather events, highlighting the launch of new AI models by the China Meteorological Administration (CMA) [1][4]. Group 1: AI Model Developments - The CMA has released the AI meteorological model "Fengyuan" and upgraded three other models: "Fengqing," "Fenglei," and "Fengshun," enhancing their capabilities to provide more accurate weather forecasts and warnings [1][3]. - The newly launched "Fenghe" model, with a trillion parameters, collaborates with the other models to improve weather prediction services across various industries [1][2]. Group 2: Applications and Services - AI is deeply integrated into meteorological services, providing personalized travel and health guidance, and supporting decision-making in agriculture, energy, and transportation sectors [2][3]. - The "Fenghe" model can offer tailored solutions based on intelligent analysis, covering multiple scenarios related to weather, such as traffic, tourism, and logistics [2]. Group 3: Precision and Efficiency - The upgraded "Fenglei" model has shown a 25% improvement in the quality of severe weather predictions, particularly for thunderstorms and heavy rainfall [4]. - The "Fengyuan" model can directly analyze real-time observational data from satellites and weather stations, providing global weather forecasts without complex data assimilation processes [5][6]. Group 4: Future Directions - The CMA's strategy for 2025-2035 emphasizes the integration of numerical forecasting with AI to enhance simulation and prediction capabilities of the Earth system [7]. - The AI models are expected to significantly improve forecasting precision, coverage, and computational efficiency, with the "Fengqing" model generating 15-day global weather forecasts in just three minutes [7].

Core Viewpoint - The integration of artificial intelligence (AI) with meteorological services is transforming weather forecasting, making it more accurate and efficient, thereby supporting high-quality economic and social development [1][6]. Group 1: AI Applications in Meteorology - The "Fengshun" system, developed by the China Meteorological Administration (CMA) in collaboration with Fudan University, has shown strong predictive capabilities, particularly in forecasting the timing of the South China Sea summer storm [2]. - The "Fenghe" AI meteorological service system, launched by CMA, serves as an intelligent interface connecting vast meteorological data with users, applicable in disaster warning, transportation, and tourism [2]. - The "Fenglei" model, developed by the National Meteorological Center and Tsinghua University, provides high-resolution forecasts for severe convective weather, achieving a 25% improvement in prediction quality compared to traditional methods [3][4]. Group 2: Advancements in Forecasting Models - The "Fengqing" model offers global forecasting capabilities exceeding 10.5 days, with precision in extreme weather predictions matching international standards [6]. - The "Fengshun" model can deliver 60-day forecasts with 100 ensemble members, demonstrating advanced performance in predicting key climate modes and extreme weather [5]. - The AI "Fengyu" model focuses on space weather forecasting, contributing to satellite communication, spacecraft orbit management, and aviation safety [3]. Group 3: Transition in Meteorological Services - Meteorological services are shifting from a "user searches for information" model to an "information finds the user" model, enhancing the speed and accuracy of weather alerts [6]. - AI models like "Fenglei" can predict convective system evolution within minutes, showcasing advantages in forecasting localized extreme weather [4]. Group 4: Integration and Collaboration - AI tools are designed to complement existing technologies rather than replace meteorologists, emphasizing the need for a collaborative forecasting system that integrates human judgment with AI and numerical models [7]. - The CMA's "MAZU" early warning system has been implemented in 35 countries, demonstrating China's contribution to global disaster prevention and mitigation [7]. Group 5: Regulatory Framework - The CMA and the National Cyberspace Administration of China have issued guidelines to enhance the integration of AI in meteorological monitoring and forecasting, aiming to mitigate potential risks associated with AI applications [8].