{"id":70886,"date":"2026-09-22T10:42:00","date_gmt":"2026-09-22T03:42:00","guid":{"rendered":"https:\/\/thaipropertynews.com\/feeds\/?p=70886"},"modified":"2026-09-22T10:42:00","modified_gmt":"2026-09-22T03:42:00","slug":"xinhua-silk-road-chinese-solutions-for-meteorological-early-warning-help-more-countries-tackle-climate-challenges","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=70886","title":{"rendered":"Xinhua Silk Road: Chinese solutions for meteorological early-warning help more countries tackle climate challenges"},"content":{"rendered":"

BEIJING<\/span>, Sept. 22, 2026<\/span> \/PRNewswire\/ — For millennia, as her believers believe, the traditional Chinese sea goddess\u00a0Mazu has been blessing safe voyages. Now, Chinese meteorological early-warning solutions named after her are helping more countries prevent meteorological disasters.<\/p>\n

\n

\"Photo<\/a>
Photo handout via Xinhua shows the “MAZU” system at the Pakistan Meteorological Department on August 17, 2026.<\/span><\/p>\n<\/div>\n

“MAZU”, released by the China Meteorological Administration at the 2025 World Artificial Intelligence Conference (WAIC), is a set of China’s homegrown AI-enabled meteorological solutions featuring universal multi-hazard early warning, alerting and zero-gap coverage.<\/p>\n

Supporting cloud-based trials in more than 40 countries, “MAZU” has been applied in countries including Pakistan, Ethiopia, the Solomon Islands, Jordan, Sri Lanka, Mongolia and Djibouti, rapidly expanding its global presence.<\/p>\n

As the first set of solutions under the UN Early Warnings for All initiative, “MAZU” integrates AI-based meteorological early-warning models, Fengyun meteorological satellite data, multi-source monitoring products and cloud computing power.<\/p>\n

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 UN headquarters in New York.<\/p>\n

Unsurprisingly, “MAZU” caters to the demand for both menu-style solution offerings and highly flexible customized solutions to help relevant countries prevent meteorological disasters caused by climate change.<\/p>\n

In Pakistan, where monsoons and rainstorms usually cause torrential floods, an early-warning system co-developed by China and Pakistan was formally embedded in relevant platforms of Pakistan’s meteorological authority.<\/p>\n

In Ethiopia, Chinese experts leveraged the integration of data from China’s Fengyun meteorological satellites and local meteorological stations to help local weather forecasters generate high-precision nowcasts via the Fenglei and Fengqing AI models.<\/p>\n

In Sri Lanka, the meteorological bureau of southeast China’s Fujian Province is assisting the country in achieving high spatiotemporal resolution precipitation and temperature forecasting.<\/p>\n

Apart from the application cases of “MAZU”, nearly 1,000 people from more than 100 developing countries and regions have come to China to receive technology training focused on early warning.<\/p>\n

As China is a crucial partner of the Early Warnings for All initiative, its platforms, satellites and AI models have helped dozens of countries enhance their early-warning capacities, noted UN Secretary-General Antonio Guterres at the 2026 WAIC.<\/p>\n

Such a mode of cooperation, involving technology transfer, joint R&D and local capacity building to help developing countries better protect their people, is exactly what the world needs now, added Guterres.<\/p>\n

Original link: https:\/\/en.imsilkroad.com\/p\/352292.html<\/a><\/p>","protected":false},"excerpt":{"rendered":"

<\/p>\n

BEIJING<\/span>, Sept. 22, 2026<\/span> \/PRNewswire\/ — For millennia, as her believers believe, the traditional Chinese sea goddess\u00a0Mazu has been blessing safe voyages. Now, Chinese meteorological early-warning solutions named after her are helping more countries prevent meteorological disasters.<\/p>\n

\n

\"Photo<\/a>
Photo handout via Xinhua shows the “MAZU” system at the Pakistan Meteorological Department on August 17, 2026.<\/span><\/p>\n<\/div>\n

“MAZU”, released by the China Meteorological Administration at the 2025 World Artificial Intelligence Conference (WAIC), is a set of China’s homegrown AI-enabled meteorological solutions featuring universal multi-hazard early warning, alerting and zero-gap coverage.<\/p>\n

Supporting cloud-based trials in more than 40 countries, “MAZU” has been applied in countries including Pakistan, Ethiopia, the Solomon Islands, Jordan, Sri Lanka, Mongolia and Djibouti, rapidly expanding its global presence.<\/p>\n

As the first set of solutions under the UN Early Warnings for All initiative, “MAZU” integrates AI-based meteorological early-warning models, Fengyun meteorological satellite data, multi-source monitoring products and cloud computing power.<\/p>\n

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 UN headquarters in New York.<\/p>\n

Unsurprisingly, “MAZU” caters to the demand for both menu-style solution offerings and highly flexible customized solutions to help relevant countries prevent meteorological disasters caused by climate change.<\/p>\n

In Pakistan, where monsoons and rainstorms usually cause torrential floods, an early-warning system co-developed by China and Pakistan was formally embedded in relevant platforms of Pakistan’s meteorological authority.<\/p>\n

In Ethiopia, Chinese experts leveraged the integration of data from China’s Fengyun meteorological satellites and local meteorological stations to help local weather forecasters generate high-precision nowcasts via the Fenglei and Fengqing AI models.<\/p>\n

In Sri Lanka, the meteorological bureau of southeast China’s Fujian Province is assisting the country in achieving high spatiotemporal resolution precipitation and temperature forecasting.<\/p>\n

Apart from the application cases of “MAZU”, nearly 1,000 people from more than 100 developing countries and regions have come to China to receive technology training focused on early warning.<\/p>\n

As China is a crucial partner of the Early Warnings for All initiative, its platforms, satellites and AI models have helped dozens of countries enhance their early-warning capacities, noted UN Secretary-General Antonio Guterres at the 2026 WAIC.<\/p>\n

Such a mode of cooperation, involving technology transfer, joint R&D and local capacity building to help developing countries better protect their people, is exactly what the world needs now, added Guterres.<\/p>\n

Original link: https:\/\/en.imsilkroad.com\/p\/352292.html<\/a><\/p>\n

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