China's AI weather warning system Mazu expanding across Global South
Translated from English, summarized and contextualized by DistantNews.
At a glance
- China's AI-powered weather warning system, Mazu, is being deployed in seven developing countries to enhance natural disaster preparedness.
- Named after the sea goddess, Mazu provides tailored early warning services and is the first national project supporting the UN's Early Warnings for All initiative.
- The system, which offers quicker access to meteorological data, has been tested by 40 Global South countries and is integrated into daily operations in seven nations.
China's artificial intelligence weather warning system, Mazu, is expanding its reach across the Global South, with seven developing countries now utilizing its capabilities to better prepare for natural disasters like typhoons and rainstorms.
Pan Jinjun, chief engineer at the China Meteorological Administration, described Mazu as an international public good, offering "tailored early warning services for developing nations." Speaking ahead of the World Artificial Intelligence (AI) Conference in Shanghai, Pan highlighted Mazu as the first national project to align with the UN's Early Warnings for All initiative, which aims to ensure global protection from extreme weather events.
The Mazu system, an acronym for Multi-hazard Alert, Zero-gap and Universal, provides rapid access to meteorological data. Its public cloud version has undergone testing in 40 countries across the Global South. The full system has been implemented in Pakistan, Djibouti, Ethiopia, Jordan, Mongolia, the Solomon Islands, and Sri Lanka, where it is now an integral part of their operational frameworks. The system, named after the sea goddess Mazu, was designed with global application in mind and was first introduced at the World AI Conference in Shanghai last year.
tailored early warning services for developing nations
Originally published by South China Morning Post in English. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.