Core Viewpoint - The Chinese meteorological sector is focusing on high-quality development during the "14th Five-Year Plan" period, emphasizing technological innovation and self-reliance in meteorological services, with significant advancements in forecasting capabilities and disaster response mechanisms [1][2][4]. Group 1: Technological Advancements - The meteorological sector has established a comprehensive observation system consisting of 9 Fengyun satellites, 842 weather radars, and over 90,000 ground observation stations, achieving an 83% monitoring rate for hazardous weather [1]. - The numerical forecasting model has become self-controllable, with the forecast accuracy for the Northern Hemisphere increasing from 7.9 days to 8.1 days, nearing international advanced levels [4]. - The integration of cutting-edge technologies such as artificial intelligence, big data, and quantum technology into meteorological applications is ongoing, enhancing the precision and effectiveness of weather forecasts [1][5]. Group 2: Disaster Response Mechanisms - The meteorological department has developed a rapid response mechanism for weather warnings, allowing alerts to reach emergency responders within one minute, thereby supporting disaster prevention and mitigation efforts [2]. - A progressive meteorological service model has been established, refining forecast timelines from quarterly to minute-level precision, and focusing on specific local impacts of extreme weather [3]. - The establishment of a multi-departmental liaison system for meteorological disaster warnings has been implemented, enhancing coordination and response efficiency across various sectors [2][3]. Group 3: Forecasting Accuracy - The accuracy of 24-hour urban weather forecasts and temperature predictions has exceeded 80%, with significant improvements in rainfall forecasting accuracy by 10% compared to the previous five-year period [5]. - The spatial resolution of the forecasting system has been refined to 5 kilometers globally and 1 kilometer nationally, with key areas achieving a resolution of up to 100 meters [5]. - The error margin for 24-hour typhoon path forecasts has been minimized to 62 kilometers, maintaining an internationally advanced standard [5].

Core Insights - The press conference highlighted the high-quality development of meteorology during the "14th Five-Year Plan" period, emphasizing the establishment of a new national system for meteorological technological innovation [1][3]. Group 1: Meteorological Technological Advancements - The meteorological sector has focused on overcoming critical technological challenges, achieving high levels of self-reliance in satellite, radar, and observation technologies [1]. - A comprehensive meteorological observation system has been established, consisting of 9 Fengyun satellites, 842 weather radars, and over 90,000 ground observation stations, with a disaster weather monitoring rate of 83% [1]. - The intelligent digital forecasting system can predict regional heavy rain, high temperatures, and cold waves 3 to 7 days in advance, and major national weather events 15 days ahead, along with global climate anomalies 6 months in advance [1]. Group 2: Emergency Response and Collaboration - The meteorological department has improved its emergency response mechanisms, ensuring that meteorological warnings can be quickly transformed into defensive actions [3][4]. - A new inter-ministerial liaison system for meteorological disaster warnings has been established, allowing for the rapid dissemination of 82 types of warning information across 17 industries, reaching emergency responders within 1 minute [3][4]. - The department has implemented a progressive meteorological service model, refining forecasts from quarterly to minute-level precision, focusing on specific local impacts [4]. Group 3: Forecasting Accuracy Improvements - The meteorological department has developed a self-controlled global and regional numerical forecasting technology system, with the forecast accuracy for the Northern Hemisphere increasing from 7.9 days to 8.1 days [6][7]. - The accuracy of 24-hour urban weather and temperature forecasts has reached over 80%, with significant improvements in heavy rain forecast accuracy by 10% compared to the previous five-year period [7]. - The error in 24-hour typhoon path forecasts has been minimized to 62 kilometers, maintaining international advanced levels [7].

Core Insights - The article highlights significant advancements in meteorological services during the "14th Five-Year Plan" period, emphasizing improved forecasting accuracy and the establishment of a comprehensive meteorological observation network [1][3][19]. Group 1: Meteorological Infrastructure Development - China has launched five Fengyun meteorological satellites, achieving the world's first regional continuous imaging observation with a resolution of 250 meters per minute [3]. - A radar monitoring network consisting of 842 weather radars has been established, covering over 90% of population-dense areas [3]. - More than 90,000 ground meteorological observation stations have been built nationwide [3]. Group 2: Data Sharing and Utilization - The meteorological sector has shared over 100 types of meteorological data products, including refined intelligent grid forecasting products, with 153 countries and regions [6]. - A global ground climate dataset spanning 176 years has been released for the first time, with a spatial resolution of 10 kilometers for global atmospheric reanalysis products [6]. - Meteorological data identifiers have been issued over 980,000 times, supporting 140,000 application scenarios across various industries [6]. Group 3: Public Services and Technology Integration - The number of meteorological service indices has increased to over 70, integrating meteorological information into major media and mainstream services [9]. - New technologies such as IoT, 5G, and AI have enabled the public to access real-time meteorological information through mobile devices and wearables [9]. - The development of a seamless, all-encompassing intelligent digital meteorological forecasting system has been achieved [19]. Group 4: Agricultural Support and Risk Management - Meteorological departments are collaborating with agricultural sectors to provide disaster risk warnings and enhance agricultural resilience through insurance services [13]. - The implementation of the "Meteorological Services for Agriculture Quality Improvement and Efficiency Enhancement Action Plan" is ongoing [13]. Group 5: International Cooperation and Training - An independently developed early warning system is being utilized by over 40 countries, contributing to global early warning initiatives [15]. - The "Mazu" plan aims to provide training for 2,000 personnel and offers 100 scholarship opportunities and 50 visiting scholar positions over the next three years [16][15]. Group 6: Technological Advancements in Forecasting - Numerical forecasting capabilities have improved, with the usable forecast days for the Northern Hemisphere increasing from 7.9 to 8 days, nearing international advanced levels [19]. - The accuracy of heavy rain forecasts has improved by 10% compared to the "13th Five-Year Plan" period, with monthly and seasonal climate prediction levels increasing by 2.3% and 5.1%, respectively [20].

Core Insights - The press conference highlighted the advancements in China's meteorological services during the "14th Five-Year Plan" period, focusing on high-quality development and technological innovation in meteorology [1] Group 1: Technological Advancements - The China Meteorological Administration has established a new national system for meteorological technological innovation, addressing critical technological challenges and achieving high levels of self-reliance in satellite, radar, and observation technologies [1] - A comprehensive meteorological observation system has been built, consisting of 9 Fengyun satellites, 842 weather radars, and over 90,000 ground observation stations, enhancing the monitoring rate of hazardous weather to 83% [1] - The numerical forecasting model has achieved autonomy and control, integrating cutting-edge technologies such as artificial intelligence, big data, and quantum technology into meteorological applications [1][5] Group 2: Emergency Response and Forecasting - Meteorological departments have improved the accuracy of weather forecasts and established a rapid response mechanism for weather warnings, allowing alerts to reach emergency responders within one minute [2] - A progressive meteorological service model has been developed, refining forecast timelines from quarterly to minute-level precision, and focusing on specific local impacts of extreme weather [3] - The accuracy of 24-hour urban weather and temperature forecasts has reached over 80%, with significant improvements in forecasting capabilities for heavy rain and climate predictions [4][5] Group 3: Collaboration and Integration - The meteorological sector has strengthened collaboration with various regions and departments, integrating meteorological disaster prevention into the broader disaster reduction framework of the government [2] - A new national emergency warning information release system has been established, facilitating the sharing and rapid dissemination of 82 types of warning information across 17 industries [2] - The meteorological departments have partnered with leading universities and research institutions to advance artificial intelligence applications in meteorology, positioning China at the forefront of this technology [5]

Core Insights - The article discusses the development of an innovative air quality monitoring and forecasting system by a Chinese research team, aimed at addressing the challenges posed by complex atmospheric pollution [2][4][6]. Group 1: System Development and Features - The "Environmental Meteorology Multi-Factor Intelligent Sensing and Large Model Forecasting System" was developed to provide a comprehensive solution for monitoring and forecasting air quality [2][6]. - The system integrates various data sources, including satellite remote sensing and ground-based observations, to create a unified atmospheric environment evolution panorama [7]. - A key breakthrough is the development of the world's first aerosol-meteorology coupled forecasting AI model (AI-GAMFS), which can perform global meteorological forecasts in one minute, significantly faster than traditional supercomputers [7][8]. Group 2: Challenges Addressed - The system addresses three major challenges in atmospheric monitoring: visibility issues due to limited ground observation stations, difficulties in accurately calculating pollution sources, and the need for precise and timely data for effective management [4][5]. - The AI-GAMFS model has shown a reduction in forecasting errors for dust storms in East Asia by 38% to 74% compared to international systems [8]. Group 3: Implementation and Impact - The system is currently operational in 14 meteorological departments across various provinces in China, enhancing the precision of air quality forecasts and emergency responses [9]. - The system successfully predicted the timing and intensity of dust storms in the Sichuan Basin, demonstrating its effectiveness in real-world applications [9]. - As of the end of 2024, the system has led to the publication of 13 SCI papers and the acquisition of 4 national invention patents, showcasing its scientific and practical contributions [9].

世界气象组织主席阿卜杜拉·阿尔·曼杜斯访粤 8月31日，阿卜杜拉·阿尔·曼杜斯一行在世界气象中心(北京)粤港澳大湾区分中心参观交流。曾凡敏 摄 其间，阿卜杜拉·阿尔·曼杜斯一行到世界气象中心(北京)粤港澳大湾区分中心智慧气象科普展馆、海洋 观测实训室、低空经济区及研修中心教学实训室参观，深入了解分中心职能和国际交流合作情况；赴深 圳市气象局参观低空气象观测设备展，前往华为总部与研发中心了解人工智能气象应用等情况。 阿卜杜拉·阿尔·曼杜斯感谢中国政府和广东省政府为对WMO的支持，对广东省在极端天气应对、跨领 域气象应用及国际人才培养等方面的工作表示赞赏；点赞广东在早期预警系统特别是在台风早期预警机 制、防灾减灾响应机制建设等方面取得的成就。 阿卜杜拉·阿尔·曼杜斯表示，广东气象工作不仅为公众提供更好的服务，也为政府决策提供更加科学的 依据，值得作为范例供世界很多城市学习借鉴。广东参与国际合作以及对其他国家和地区的帮助，与联 合国全民早期预警倡议契合。希望未来广东能与WMO有更加紧密的合作，共同推动气象事业发展，造 福全球。 广东省政府相关负责人表示，广东高度重视气象工作，大力支持气象事业发展，积极参与WMO在中 ...

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Core Insights - The launch of the first World Meteorological Organization (WMO) Artificial Intelligence Near-Term Weather Forecasting Demonstration Project (AINPP) in Asia marks a significant milestone in advancing modern early warning and forecasting technologies [3][5] - The project aims to enhance collaboration among multiple disciplines, countries, and public-private sectors to develop AI-based near-term forecasting models, particularly in regions vulnerable to extreme weather events [3][6] Group 1: Project Overview - The AINPP project is designed to set a global standard for AI applications in meteorology, focusing on improving the accuracy of early warning systems to save lives and reduce losses associated with severe weather [3][6] - The project involves participation from meteorological experts from various countries, including Japan, South Korea, Thailand, Vietnam, India, UAE, and Saudi Arabia, as well as institutions like the Hong Kong Observatory and Microsoft [3][6] Group 2: Technological Advancements - AI-driven models integrate various data sources, such as satellite images, radar networks, and ground sensors, to enhance the accuracy and delivery time of local extreme weather predictions [5] - Shenzhen's meteorological bureau has developed AI applications for early warning services, including the "Zhiji" regional forecasting model with a 3 km resolution and the "Zhitong" short-term forecasting model, which extends effective warning time from 1 hour to 3 hours [6][7] Group 3: Future Plans and Collaboration - The AINPP project has collected 13 AI-based forecasting technologies related to lightning, precipitation, and radar echoes, which will be tested during the upcoming flood season [7] - Shenzhen's meteorological bureau plans to establish a data-sharing platform and engage in cross-regional product testing and application, contributing to disaster prevention and mitigation efforts in developing countries [7]