近年来，人工智能技术方兴未艾。从实现种植环境精准调控的农业大模型，到帮助医生快速识别病灶的 影像辅助诊断技术，再到利用算法优化配送路径的智慧物流手段，人工智能正以前所未有的速度和深度 渗透到经济社会各领域各行业，广泛而深刻地改变着人们的生产生活方式。作为我国首个生成式人工智 能气象服务语言模型，风和系统正是人工智能赋能气象服务行业的一个缩影。 人工智能如同一座推动知识普惠的桥梁，一端连着复杂的专业知识体系，一端连着多元的用户需求场 景。只有把二者有效结合，才能让创新技术更好地落地生根，赋能千行百业。从风和系统的研发过程来 看，正是如此。一方面，把海量资料转化成知识图谱，通过技术训练提升专业水平，深度转化知识；另 一方面，利用场景化问答训练分析能力，面向不同场景搭建各类智能体，精准对接需求，进而打造"需 求—知识—服务"的动态闭环。 在风和之前，中国气象局已推出了风雷、风清、风顺、风宇等人工智能模型。与风和不同的是，这些模 型都应用在气象预报领域：风雷针对的是即将发生的雷暴和强降水天气，风清是全球短中期预报系统， 风顺是全球次季节—季节预测系统，风宇是空间天气链式预报模型。2024年，中国气象局启动人工智能 天 ...

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) [2][3][4] Group 1: AI Model Developments - The CMA has released the AI model "Fengyuan" and upgraded three other models: "Fengqing," "Fenglei," and "Fengshun," enhancing the precision and timeliness of weather forecasts [2][3] - The "Fenghe" model, with a trillion parameters, is designed to provide personalized weather services across various sectors, including transportation and agriculture [3][4] Group 2: Enhanced Forecasting Capabilities - The upgraded "Fengshun" model focuses on key meteorological factors such as daily maximum/minimum temperatures and solar radiation, significantly improving the ability to respond to agricultural weather disasters [4][5] - The "Fenglei" model has shown a 25% improvement in the quality of severe weather predictions, particularly for thunderstorms and short-term heavy rainfall [5][6] Group 3: Integration of AI in Meteorology - AI technology is becoming a crucial link between weather forecasting, disaster warning, and emergency response, addressing the challenges posed by extreme weather events [5][6] - The "Fengyuan" model can directly analyze real-time observational data from satellites and weather stations, aiming to enhance the accuracy of weather predictions [6][7] Group 4: Future Directions - The CMA's strategy for 2025-2035 emphasizes the integration of numerical forecasting with AI, aiming to improve the simulation and prediction capabilities of Earth system interactions [7] - The AI models are expected to provide higher resolution forecasts and longer prediction periods, significantly enhancing disaster response and decision-making processes [7]

Core Viewpoint - The article discusses the advancements in artificial intelligence (AI) models for meteorological services in China, highlighting the launch of new AI models by the China Meteorological Administration (CMA) to enhance weather forecasting and disaster warning capabilities in the context of increasingly complex climate conditions. Group 1: AI Model Developments - The CMA has released the "Fengyuan" AI model and upgraded three other models: "Fengqing," "Fenglei," and "Fengshun," to improve weather forecasting and warning capabilities [1][2] - The "Fenghe" model, with a trillion parameters, is designed for personalized weather services across various sectors, including transportation and health [2] Group 2: Applications and Benefits - The upgraded "Fengshun" model focuses on agricultural, renewable energy, and water resource needs, adding over ten key meteorological factors such as daily maximum and minimum temperatures [3] - The "Fenglei" model has shown a 25% improvement in the quality of severe weather predictions, particularly for thunderstorms and heavy rainfall [4] Group 3: Technological Integration - AI technology is becoming a crucial link between weather forecasting, disaster warning, and emergency response, addressing the challenges posed by extreme weather events [4] - The "Fengyuan" model can directly analyze real-time observational data from satellites and weather stations, enhancing the accuracy of global weather forecasts [5] Group 4: Future Directions - The CMA's strategy for 2025-2035 emphasizes the integration of numerical forecasting with AI to improve simulation and prediction capabilities of Earth's systems [7] - The AI models are expected to significantly enhance forecasting precision and efficiency, with the "Fengqing" model capable of generating 15-day global weather forecasts in just three minutes [7]

每天，地球各个角落，都可能在经历极端天气。 在阿富汗，一场强对流来袭，局地伴有冰雹；在乌干达，接连两场强对流突袭，伴随局地短时强降 雨…… 强对流天气尺度小、突发性强、生命史短、影响大，是气象预报的世界性难题。依靠中国气象人工智 能，阿富汗、乌干达均提前捕捉到信号，迅速发布预警，为转移群众、减少损失提供支撑。 这些走出国门的中国气象人工智能，有一个共同的名字"妈祖"。 在我们看不见的数字世界里，通过"妈祖（MAZU）"全民早期预警云平台，中国气象人工智能正横跨亚 洲、非洲、大洋洲，把气象全民早期预警中国方案输送到世界各地，在地球上空织就一条"气象丝路"， 为全球防灾减灾、应对气候变化贡献中国智慧、中国经验。 跨越山海，气象人工智能方案在40多个国家试用 服务场景越来越广泛，有云端版、基础版、专业版、旗舰版、城市早期预警版、农业早期预警版等，适 配多种气象灾害和城市、农业等各类气象风险场景。 "目前，'妈祖'已经在巴基斯坦、埃塞俄比亚、所罗门群岛、吉布提、蒙古国5个国家实现落地部署与实 时应用，在亚洲、非洲、大洋洲的43个国家和地区开展在线试用。"中国气象局国际合作司司长曾沁介 绍。 中国气象局坚持"妈祖"人工 ...

"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 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].