China’s AI weather agent being deployed globally
China’s AI weather agent being deployed globally
https://www.chinadailyasia.com/article/635361
Publish Date: 2026-06-23 00:10:00
Source Domain: www.chinadailyasia.com
Shanghai Meteorological Service rolls out MAZU urban hazard warning system worldwide, sending out alerts, mitigating disasters
The MAZU system is displayed at China Meteorological Administration’s booth during the World Artificial Intelligence Conference in Shanghai on July 27, 2025. (PROVIDED TO CHINA DAILY)
A specialized artificial intelligence system developed by the Shanghai Meteorological Service is being deployed across dozens of developing nations to combat increasingly severe urban climate risks, marking a major expansion of China’s role in global humanitarian tech.
The MAZU AI Agent for Urban Multi-Hazard Early Warning operates as a critical component of China’s national response to the United Nations’ Early Warnings for All initiative, which aims to protect every person on Earth from hazardous climate events by the end of 2027.
According to the China Meteorological Administration, the overarching cloud-based MAZU solution — named after the ancient Chinese sea goddess who protects travelers — is already being utilized by more than 40 national meteorological agencies, with seven countries deploying deeply customized versions of the system.
“As climate change increases the frequency and intensity of extreme weather events, strengthening early warning systems has become more important than ever,” said Yu Jun from the World Meteorological Organization’s Regional Office for Asia and the Southwest Pacific.
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Yu made the remarks on June 1 in Shanghai at the opening ceremony of the second international training course on artificial intelligence-empowered early warning systems.
“The UN’s Early Warnings for All initiative calls for every person on Earth to be protected by life-saving early warning systems. Achieving this goal requires innovation, partnership, and capacity development,” he added. “It offers tremendous opportunities to strengthen every component of the early warning value…