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Global adoption of AI in meteorological forecasting

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2026-09-28 20:12 UTC → 2026-10-06 15:02 UTC · added ~~removed~~

Global meteorological agencies are increasingly adopting artificial intelligence to enhance weather forecasting and early warning systems for climate-related disasters. In China, the China Meteorological Administration has deployed the MAZU AI-powered solution, which utilizes satellite data and cloud computing. This system is undergoing trials in over 40 countries, including Pakistan and Ethiopia, to manage risks such as monsoon-related flash floods. To support these efforts, the ‘MAZU Scholarship’ has been established to provide technical training to professionals from developing nations. Similarly, Mexico’s National Meteorological Service (SMN), operating through the National Water Commission (Conagua), has entered a four-year technical cooperation agreement with Google LLC. This ~~four-year~~ partnership ~~aims to implement~~ focuses on implementing and evaluating next-generation AI tools and climate models to improve the early identification of extreme hydrometeorological ~~phenomena and~~ phenomena. A key objective of the Mexican initiative is to strengthen ~~national~~ early warning systems for flash flood ~~warning systems.~~ risks provided to the National Civil Protection System. The collaboration also emphasizes institutional capacity building, specifically regarding the use of Application Programming Interfaces (APIs) to process large volumes of meteorological and climate data. Under the agreement, the SMN will conduct technical evaluations to validate AI-developed products against the specific meteorological, hydrological, and territorial conditions of Mexico, while maintaining sovereignty and control over the information provided.

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