China Promotes MAZU AI Weather Warning System for Developing Nations

China is expanding its 'MAZU' meteorological intelligent early warning platform to assist developing nations facing severe weather hazards, according to state media coverage of the 2026 World Artificial Intelligence Conference. Launched by the China Meteorological Administration in July 2025, MAZU incorporates AI forecasting models alongside satellite data and cloud infrastructure. Currently implemented in seven countries and accessible via cloud in over 40 nations, the platform aims to reach 30 host countries to help bridge early warning gaps in climate-vulnerable regions.

As climate change increases the frequency of extreme weather events worldwide, early warning capabilities remain a critical weak point for developing nations. China's MAZU platform demonstrates how cloud computing, AI weather models, and satellite integrations can be packaged into flexible public goods to reduce losses from climate disasters.

At the 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance, President Xi Jinping highlighted efforts to deploy China's "MAZU" meteorological intelligent early warning platform in 30 countries, according to Xinhua. First released by the China Meteorological Administration (CMA) in July 2025, MAZU is designed as a customizable public tool to help developing nations improve disaster prevention and early warning capabilities amid accelerating climate risks. The platform integrates several AI weather forecasting models—including "Fenglei," "Fengqing," and "Fengshun"—with satellite data, training programs, and cloud infrastructure. The acronym "MAZU" stands for Multi-hazard, Alert, Zero-gap, and Universal. Unlike traditional turnkey systems, MAZU operates via a flexible cloud platform where local forecasters can register to compare multiple global forecasting outputs, such as CMA and European Centre for Medium-Range Weather Forecasts (ECMWF) models, while accessing grid-based rainfall analysis and localized alerts. According to Xinhua, MAZU has already been applied in seven countries and supports cloud-based access for forecasters across more than 40 nations. In Mongolia, the system incorporates Fengyun-2H satellite snow cover data and generates risk advisories in the local language. Forecasters in Afghanistan and Uganda have also utilized Chinese AI models to detect localized severe convective weather and issue timely evacuations. To address connectivity constraints in global regions like South Asia and Africa, CMA released an upgraded cloud platform version in April 2026, adding overseas cloud nodes that improved loading speeds sixfold. At a recent WAIC sub-forum, CMA delivered "MAZU Djibouti 2.0" to Djibouti and released a Fengyun satellite AI toolkit to further enhance overseas adaptability. CMA Chief Engineer Pan Jinjun stated that MAZU is evolving into a shared and sustainable international public good tailored to the needs of developing countries.