MBZUAI launches weather forecasting training programme

Supported by the Agricultural Innovation Mechanism for Scale (AIM for Scale), a collaboration of researchers from Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) and the University of Chicago is working to ensure that governments in lowand middle-income countries (LMICs) can adopt Al innovations early and build world class national services-delivering services once limited to places like the US, EU, or Japan.

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Just as climate change brings extreme and unpredictable weather to communities worldwide, advances in artificial intelligence (Al) are making it possible to predict these shifting conditions with greater speed, lower cost, and hyper-local precision.

This breakthrough promises to extend accurate forecasting to regions that have historically lacked access to advanced technologies.

"Al weather models are revolutionising what can be done with forecasts, but because they are a new type of technology, governments often lack the training, hardware, and institutional capacity to build and use them effectively. If we don't act, low-and middle-income countries risk being left behind," said Pedram Hassanzadeh, associate professor in Geophysical Sciences at the University of Chicago and member of AIM for Scale's Technical Panel on Weather Services for Farmers.

"We're working to ensure these countries can harness these innovations - taking cutting-edge Al and climate science from the lab to the field."