“妈祖”出海记

Core Viewpoint - The "Mazu" early warning cloud platform, developed by the China Meteorological Administration, is being implemented globally to enhance disaster prevention and response to climate change, showcasing China's technological capabilities and experience in meteorological AI [1][5][13]. Group 1: Global Implementation and Impact - The "Mazu" platform has been deployed in five countries, including Pakistan and Mongolia, and is undergoing trials in 43 countries across Asia, Africa, and Oceania [5]. - The platform provides customized AI tools for different countries to monitor and respond to various meteorological risks, significantly improving early warning capabilities [3][4]. - In countries like Afghanistan and Uganda, the platform has successfully predicted extreme weather events, allowing for timely warnings and disaster mitigation [2][5]. Group 2: Technological Advancements - The "Mazu" platform integrates advanced AI technologies to enhance the accuracy of weather forecasts, particularly for extreme weather events that are traditionally difficult to predict [7][8]. - The platform employs innovative algorithms to improve the detection and forecasting of severe weather phenomena, addressing the limitations of conventional models [8][9]. - The AI models developed under "Mazu" are open-source, allowing global access and collaboration, which enhances the platform's adaptability and effectiveness [6][10]. Group 3: Training and Capacity Building - The China Meteorological Administration is committed to training over 2,000 professionals from developing countries in meteorological forecasting and disaster risk management from 2025 to 2027 [6]. - Collaborative efforts include sending scholars to China for training and developing localized forecasting models tailored to specific regional needs [6][10]. - The initiative aims to build a global network of early warning systems, fostering international cooperation in climate change adaptation [12][13]. Group 4: Future Prospects and Collaborations - The "Mazu" platform is set to integrate additional AI models, enhancing its service offerings and expanding its global reach [11][15]. - Upcoming collaborations with various countries and organizations aim to further develop meteorological AI capabilities and improve disaster response strategies [13][15]. - The initiative aligns with global climate governance efforts, positioning China as a key player in international meteorological cooperation [13][15].