"风云"卫星俯瞰全球，筑就陆海空天一体化监测体系；人工智能预报精准至公里级，暴雨预警准确率再创新高；生活气象服务指数增至70余 种，精细化气象服务涵盖衣食住行游购娱……"十四五"时期，从守护百姓衣食住行到助力国家发展大局，从筑牢国内生产生活安全防线到赋能 产业升级，气象服务已成为满足民生期待、推动经济社会发展的重要支撑。 跟随这组海报，共同感知中国气象以硬核实力护航国计民生、守护万家平安、赋能千行百业的蓬勃力量与责任担当。 · 全球首次实现气象卫星区域250米分辨率每分钟连续成像 观测 · 风云三号G星是我国首颗、全球第三颗低倾角轨道降水测量 上 • 风云三号E星是全球唯一在晨昏时段开展观测的民用极轨 气象卫星 新华社 司刊 nlist 新华社 3 27 建成临海空 本省合量量表机机系统 · 风云卫星、北斗探空、天气雷达等探测装备、技术实现 高水平自立自强 · "风雷""风清""风顺""风宇"气象预报模型 达到国际先进水平 · 远洋气象导航、全球碳源汇监测核枝等一批创新技术成果涌现 部信息 精准频报 年47周三日可控的全球、区域数国预报技术的 · 灾害性天气监测率提升到83% 强对流天气预警时间提前13% · ...

Core Insights - The China Meteorological Administration has launched an AI meteorological service system named "Fenghe," which significantly enhances smart meteorological service capabilities, featuring data fusion, real-time human-machine interaction, and intelligent tool invocation [1][4]. Group 1: Features and Capabilities - "Fenghe" allows users to input weather-related queries and receive automated responses, providing personalized suggestions across various scenarios such as travel, health, and logistics [3][4]. - The system includes five major modules: Meteorological Knowledge Center, Model Plaza, Meteorological AI Toolbox, Intelligent Agent Factory, and Evaluation Laboratory, which collectively enhance its service capabilities [4]. Group 2: Technical Framework - The design of "Fenghe" is based on a unique "1+1+N" technical framework, integrating a foundational model with professional meteorological knowledge and a large-scale meteorological service corpus of 550 billion tokens [5]. - The system employs advanced technologies such as LoRA for fine-tuning, reinforcement learning from human feedback (RLHF) for deep reasoning, and multi-agent collaborative technology to improve understanding of user needs and adaptability to various scenarios [5].

Core Insights - The China Meteorological Administration has launched the "Fenghe" model, a billion-parameter meteorological service model that integrates AI technology with meteorological expertise, aiming to transform traditional weather services into an intelligent new phase [1][2]. Group 1: Technical Features of "Fenghe" - "Fenghe" is a generative AI system specifically designed for meteorological services, built on a large language model architecture, distinguishing it from traditional numerical weather prediction models [2]. - The model boasts a powerful core with a trillion parameters, indicating its strong learning and expressive capabilities, allowing it to capture intricate atmospheric phenomena [2]. - Through multimodal integration and generative AI technology, "Fenghe" aims to provide more accurate forecasts, achieving high resolution, efficiency, and rapid response in intelligent meteorological services [2]. Group 2: Comparison with Previous Models - Previous models like "Fengqing," "Fenglei," and "Fengshun" were primarily designed for internal meteorological forecasting systems, focusing on enhancing the core technology of large model predictions [3]. - "Fenghe" is targeted at the public and industry, addressing the limitations of existing general models in understanding meteorological service needs and generating professional content [3]. - The model aims to deliver reliable, usable, and trustworthy meteorological decision-making information, surpassing the capabilities of general models in terms of professionalism, precision, safety, and cost-effectiveness [3]. Group 3: Impact on Public Services - "Fenghe" is expected to revolutionize public travel services by providing unprecedented precision and detail in travel decision support, moving beyond traditional weather forecasts [5]. - For example, it can simulate microclimate conditions in complex areas, offering specific forecasts for different locations, such as predicting sunny conditions on one slope while rain occurs on another [5]. - The service will transition from regional forecasts to point-to-point forecasts, enabling proactive intelligent interventions for optimal travel decision-making [6].

Core Insights - The 2025 World Artificial Intelligence Conference showcased the rapid acceleration of AI applications across various sectors, highlighting its transformative potential in industries and scientific research [1][10]. Weather Forecasting and Disaster Warning - AI models in meteorology, such as "Rain Master" and "Fuyou," can advance disaster warnings by 15 to 45 minutes, enhancing urban disaster preparedness [2][3]. - The "Rain Master" model provides detailed insights into severe convective weather, while "Fuyou" focuses on short-term heavy rainfall and thunderstorms, improving forecast updates from hourly to every 10 minutes [3]. - The "MAZU" early warning system integrates AI technology with advanced algorithms and multi-source data for comprehensive disaster alerts [3][4]. Industrial Empowerment - AI is increasingly integrated into various industries, enhancing efficiency and quality, with examples including Siemens' industrial AI system that autonomously executes production tasks [7][8]. - Over 200 companies and 150,000 workers are collaborating with Siemens' AI system, which is expected to be implemented in China within the year [8]. - Tencent's "Magical Digital Human" improves content production efficiency by 50% and reduces live-streaming costs by up to 90%, applicable in e-commerce, education, and finance [8]. Scientific Discovery and Innovation - The term "AI4S" (Artificial Intelligence for Science) signifies the use of AI in scientific discovery, marking a shift from traditional research paradigms to innovative solutions in complex systems [11]. - AI4S has achieved breakthroughs in various fields, including quantum computing and life sciences, with significant advancements such as defect-free arrangement of quantum bits and new cancer treatment targets [11][13]. - The integration of AI into the entire research lifecycle is propelling scientific discovery towards large-scale innovation [13].