China Expands 'Mazu' AI Weather Warning System to Central Asia and Nepal
The China Meteorological Administration (CMA) announced an action plan (2026–2027) to deploy its "Mazu" AI weather early warning system in Central Asia and delivered a tailored version to Nepal. The cloud-based platform combines Fengyun satellite remote sensing data with domestic AI weather models like "Fengqing" and "Fengshun" to provide high-resolution monitoring and risk forecasting. This deployment supports international disaster reduction efforts, including the UN's Early Warnings for All initiative, while protecting critical regional infrastructure like the China-Europe Railway and renewable energy installations. It highlights how satellite observations and localized AI models are increasingly used for cross-border disaster response and diplomatic cooperation. The system utilizes Fengyun meteorological satellites to monitor severe events such as glacial lake outburst floods, dust storms, droughts, and forest fires across complex terrains. China aims to deploy Mazu in 30 countries, with the platform already active in 7 nations and undergoing cloud trials in over 50 countries.
## BACKGROUND
The Fengyun (FY) series is China's self-developed satellite constellation operating in both geostationary and polar orbits to deliver global, multi-spectral weather observations. The Mazu early warning framework builds on this satellite data infrastructure, pairing remote sensing inputs with modern machine learning algorithms to produce fast-updating, localized weather predictions for disaster-prone regions.