From September 17 to 19, the 4th China-ASEAN Meteorological Cooperation Forum kicked off in Nanning, Guangxi, themed "Digital Intelligence Empowers Meteorological Cooperation, Early Warnings Benefit People's Livelihood".

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 for the first time. The Initiative focuses on Empowering Meteorology with AI, Empowering Industries with Meteorological Intelligence.

Launch of the Action Initiative on Joint Innovation for Meteorological Artificial Intelligence (AI) Model Applications Photoed by WEI Jian

With strong computational power and multi-source data integration, AI technology is becoming a crucial link between weather forecasting, disaster warnings, and industrial applications. To further support United Nations' (UN) Early Warnings for All (EW4All) initiative, 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 leveraging Al innovations to address climate change challenges together.

Under the framework of MAZU, the Initiative proposesfour pillars for actionto 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, thereby enhancing the collective capabilities in forecasting and warning for high-impact weather such as typhoons and severe convection; 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, the China Meteorological Administration (CMA) also released the "CMA Global Climate Dataset", marking the first time that China's climate data products made available for international sharing. The Datasets 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.

Catalogue of CMA Global Climate Datasets

An AI-empowered Meteorology Exhibition titled "Smart Meteorology, Connecting ASEAN AI Powered New Ecosystem for Regional Disaster Prevention and Mitigation" also held during the 22nd China-ASEAN Expo.

The Exhibition Photoed by JIANG Zhiqing

Guangxi Zhuang AutonomousRegion Meteorological Service introduced two innovative AI-powered service scenarios in the Exhibition: One is "Yuheng", an AI model for energy meteorological prediction designed to improve the accuracy of wind and solar power forecasts in complex terrains, another is the ASEAN agricultural meteorological service system that provides disaster warnings and 18 types of services for crops such as sugarcane and rice, including drought, rainstorm, waterlogging, and soil moisture monitoring.

Editor: JIANG Zhiqing, WANG Chang, XU Nenyu and LIU Shuqiao

Company: China Meteorological News

Contact Person: JIANG Zhiqing

Email: cmaenglish@cma.gov.cn

Website: https://www.cma.gov.cn/en/

Telephone: 010-58993074

City: Beijing