Xinhua Silk Road: Chinese meteorological early warning solutions help more countries address climate-related challenges


/PRNewswire/ — For thousands of years, the traditional Chinese sea goddess Mazu has ensured safe sea travel, according to the belief of her followers. Today, Chinese meteorological early warning solutions named after her are helping more countries prevent weather disasters.

Photo handout via Xinhua shows the “MAZU” system at the Pakistan Meteorological Department on August 17, 2026.

“MAZU”, introduced by the China Meteorological Administration at the 2025 World Conference on Artificial Intelligence (WAIC), is a series of China-developed AI-powered meteorological solutions with universal multi-hazard early warning, alerting and seamless coverage.

MAZU supports cloud-based testing in more than 40 countries and is already deployed in Pakistan, Ethiopia, the Solomon Islands, Jordan, Sri Lanka, Mongolia and Djibouti, among others, rapidly expanding its global presence.

As the first set of solutions under the UN initiative “Early Warnings for All”, “MAZU” combines AI-based meteorological early warning models, data from Fengyun weather satellites, monitoring products from various sources and cloud computing power.

In May this year, “MAZU” was recommended by the World Meteorological Organization at the 11th Multi-Stakeholder Forum on Science, Technology and Innovation for the Sustainable Development Goals, held at the UN Headquarters in New York.

Not surprisingly, “MAZU” meets the demand for both modular solution offerings and highly flexible, tailor-made solutions to help affected countries prevent weather disasters caused by climate change.

In Pakistan, where monsoon rains and storms usually lead to devastating floods, an early warning system jointly developed by China and Pakistan has been officially integrated into the corresponding platforms of the Pakistan Meteorological Agency.

In Ethiopia, Chinese experts used the fusion of data from China’s Fengyun weather satellites and local weather stations to help local weather forecasters create highly accurate nowcasts using the “Fenglei” and “Fengqing” AI models.

In Sri Lanka, the weather bureau of southeast China’s Fujian Province is helping the country produce precipitation and temperature forecasts with high spatial and temporal resolution.

In addition to the possible uses of “MAZU”, almost 1,000 people from more than 100 developing countries and regions have come to China to take part in technical training with a focus on early warning.

As China is a key partner in the Early Warnings for All initiative, its platforms, satellites and AI models have helped dozens of countries improve their early warning capabilities, UN Secretary-General Antonio Guterres noted at WAIC 2026.

Such a form of cooperation, which includes technology transfer, joint research and development and local capacity building to help developing countries better protect their people, is exactly what the world needs right now, Guterres added.

Original-Link: https://en.imsilkroad.com/p/352292.html

Xinhua Silk Road: Chinese meteorological early warning solutions help more countries address climate-related challenges

Leave a Reply

Your email address will not be published. Required fields are marked *