Training course on intelligent platform draws 30-nation delegation

The MAZU AI Agent for Urban Multi-Hazard Early Warning is already making practical differences in Djibouti and Mongolia.

In Djibouti, a Chinese team from the Zhang Qian Mission has developed a tailored early warning dashboard to work with the agent's on-site service mechanism. The dashboard integrates multi-source meteorological observations, forecasts and disaster risk data to enable rapid risk detection and alerts. In Mongolia, coordinated efforts on both sides have been accelerating.

Liu Haobo, team leader of the Zhang Qian Mission, shared a letter from the Mongolian meteorological authority in May, which read: "Thank you for providing the MAZU AI Agent system and related training to us. Overall, the agent has a clear interface and smooth operation. It is promising as a platform for viewing different meteorological information in one place and supporting city-level weather risk analysis."

Xu Xianghua, deputy director general of the department of international cooperation at the China Meteorological Administration, said, "We always believe that early warning is not merely a matter of meteorological science and technology, but also a fundamental global public good that safeguards the lives of people worldwide and ensures global development."