世界气象组织首个AI试点项目亚洲临近预报比对活动在深启动

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]