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China expands MAZU early warning system to aid developing countries

By Zhao Yimeng | chinadaily.com.cn | Updated: 2026-04-28 19:53
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[Photo by Zhao Yimeng/chinadaily.com.cn]

China is expanding the international application of its MAZU early warning system to help developing countries better cope with extreme weather and climate risks, according to the country's top meteorological authority.

Chen Zhenlin, head of the China Meteorological Administration, said the MAZU solution has gained global traction since its launch last year as a national response to the United Nations' Early Warnings for All initiative.

As extreme weather events pose increasing threats to food and energy security, as well as global industrial and supply chains, the early warning system is an efficient tool to safeguard economic development and public well-being, Chen said at a news conference on Tuesday.

The MAZU solution, named after an ancient Chinese sea goddess known for protecting fishermen, integrates traditional cultural symbolism with modern meteorological technologies such as satellites, radar, numerical forecasting and artificial intelligence.

Since 2024, nearly 1,000 participants from more than 100 developing countries and regions have received training in China on early warning technologies, Chen said. More than 40 national meteorological agencies are already using MAZU's cloud-based services, while customized versions of the system have been deployed in seven countries, including Pakistan, Ethiopia, the Solomon Islands, Jordan and Sri Lanka.

The system is designed to provide tailored solutions based on each country's needs, combining cloud-based platforms with localized applications developed jointly by Chinese and international experts, Chen said. It has shifted from a domestic program to a global public good, focusing on supporting disaster prevention, climate adaptation and sustainable development in the Global South.

During the 15th Five-Year Plan period (2026-30), China will continue upgrading the MAZU solution, improving its precision and usability through greater integration of artificial intelligence and forecasting models.

The solution also promotes knowledge sharing by inviting foreign experts to China while sending Chinese specialists abroad, reflecting a sustainable model of cooperation that helps countries build their own capacity, Chen said.

Efforts will also focus on expanding training programs and strengthening collaboration through platforms such as the World Meteorological Center in Beijing, he added.

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