NANNING, China–(BUSINESS WIRE)–From September 17 to 19, the 4th China-ASEAN Meteorological Cooperation Forum kicked off in Nanning, Guangxi.
Decision-makers, experts, and scholars from meteorological and hydrological departments of China and ASEAN countries such as Brunei, Cambodia, Laos, Vietnam, Thailand, Myanmar, and Indonesia, as well as from the World Meteorological Organization (WMO), universities, enterprises, and research institutions, gathered to discuss regional meteorological cooperation and development.
During the opening ceremony of the Forum, the Action Initiative on Joint Innovation for Meteorological Artificial Intelligence (AI) Model Applications launched, which focuses on Empowering Meteorology with AI, Empowering Industries with Meteorological Intelligence.
To further support United Nations’ (UN) Early Warnings for All (EW4All) initiative, the China Meteorological Administration (CMA) launched MAZU, a Joint Action for Early Warnings for All, joining hands with countries around the world to close the early warning gaps and address climate change together.
Under the framework of MAZU, the Initiative proposes four pillars for action to enhance public well-being and drive sustainable regional development: Joint Innovation, to jointly build, optimize, and apply a suite of AI weather forecasting models precisely tailored to region’s needs, enhancing the collective capabilities in forecasting and warning for high-impact weather; Data Fusion, to jointly build and enrich a high-quality, high-resolution regional meteorological dataset to serve as the essential foundation for AI model training and optimization; Joint Talent Development, to cultivate a community of experts capable of leading regional advancements in meteorological AI, ensuring the sustainable development of regional cooperation together; Building a Common Home, to establish a robust support system to ensure the effective and long-term implementation of this initiative.
During the Forum, CMA also released the “CMA Global Climate Dataset”, which encompass 6 categories of data, namely Global Surface Dataset, Global Radiosonde Dataset, Global Merged Surface Temperature, CMA ReAnalysis V1.5, FENGYUN (FY) Satellites Land & Radiation Dataset, and FY Satellites Ocean Dataset.
An AI-empowered Meteorology Exhibition also held during the 22nd China-ASEAN Expo.
Guangxi Meteorological Service introduced two innovative AI-powered service scenarios in the Exhibition: an AI model for energy meteorological prediction “Yuheng”, and the ASEAN agricultural meteorological service system.
Editor: JIANG Zhiqing, WANG Chang, XU Nenyu and LIU Shuqiao
Contacts
Company: China Meteorological News
Contact Person: JIANG Zhiqing
Email: [email protected]
Website: https://www.cma.gov.cn/en/
Telephone: 010-58993074
City: Beijing
