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Xinhua Silk Road: Scholarship for MAZU meteorological early-warning solutions receives donations from BOC, Putian merchants
PRNewswire

Xinhua Silk Road: Scholarship for MAZU meteorological early-warning solutions receives donations from BOC, Putian merchants

Publish date: 24 Sep 2026

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BEIJING, Sept. 24, 2026 /PRNewswire/ -- The MAZU Scholarship, an award named after the traditional Chinese sea goddess Mazu to aid global meteorological disaster prevention, recently received donations from the Bank of China (BOC) and Putian merchants at home and abroad.


BOC and merchants from Putian City in southeast China, the homeland of Mazu, as well as their overseas fellows, offered respectively one million yuan and two million yuan to fund the scholarship and a customized "MAZU" cloud platform in Nepal.

"MAZU", China's homegrown AI-enabled meteorological solution suite released by the China Meteorological Administration (CMA) in 2025, is the first set of solutions to echo the UN Early Warnings for All initiative.

Supporting cloud trials in more than 40 countries, "MAZU" has been applied in countries including Pakistan, Ethiopia, the Solomon Islands, Jordan, Sri Lanka, Mongolia and Djibouti.

To promote cross-border meteorological technology exchanges and improve global early-warning capacity, the CMA announced the establishment of the MAZU Scholarship during the 80th session of the Executive Council of the World Meteorological Organization this June.

Aiming to honor outstanding personnel in meteorology and related fields, the MAZU Scholarship is primarily open to meteorological visiting scholars from Belt and Road partner countries and meteorological frontline workers from developing nations.

Currently, "MAZU"-related technological training has benefited over 1,000 meteorological frontline workers in nearly 100 developing countries, and has gained recognition in global meteorological early-warning applications.

In the future, a global promotion practice base for "MAZU" will be jointly built by the CMA and Putian City in Fujian Province to share with the world vivid examples and replicable practices in meteorological early warning.

Original link: https://en.imsilkroad.com/p/352353.html

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