China, ASEAN Join Forces On Meteorological AI Innovation

KUALA LUMPUR, Sept 22 (Bernama) — The fourth China-ASEAN Meteorological Cooperation Forum was held from Sept 17 to 19 in Nanning, Guangxi, bringing together decision-makers, experts, and scholars from meteorological and hydrological departments of China and ASEAN countries.

Representatives from ASEAN countries, as well as from the World Meteorological Organization, universities, enterprises, and research institutions, gathered to discuss regional meteorological cooperation and development.

According to a statement, the Action Initiative on Joint Innovation for Meteorological Artificial Intelligence (AI) Model Applications was launched during the opening ceremony, focusing on empowering meteorology with AI and empowering industries with meteorological intelligence.

To further support the United Nations’ (UN) Early Warnings for All (EW4All) initiative, the China Meteorological Administration (CMA) launched MAZU, a Joint Action for Early Warnings for All, to close the early warning gaps and address climate change together.

Under the framework of MAZU, the Initiative proposes four pillars to enhance public well-being and drive sustainable regional development. First, joint innovation aims to jointly build, optimise, and apply a suite of AI weather forecasting models precisely tailored to the region’s needs, enhancing the collective capabilities in forecasting and warning for high-impact weather.

Second, data fusion seeks to jointly build and enrich a high-quality, high-resolution regional meteorological dataset to serve as the essential foundation for AI model training and optimisation. Third, joint talent development focuses on cultivating a community of experts capable of leading regional advancements in meteorological AI.

Finally, the pillar of building a common home emphasises establishing 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 encompasses six categories of data, such as the Global Surface Dataset, the Global Radiosonde Dataset, and the Global Merged Surface Temperature.

Coinciding with the 22nd China-ASEAN Expo, an AI-empowered Meteorology Exhibition showcased two innovations from the Guangxi Meteorological Service, which are an AI model for energy meteorological prediction “Yuheng”, and the ASEAN agricultural meteorological service system.

— BERNAMA

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