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The Verge AI

Microsoft open-sources machine learning tool for subseasonal weather forecasting

Microsoft researchers say they have developed a machine learning method that improves weather forecasts two to six weeks ahead, a horizon where physics-based and existing AI models typically lose reliability. The findings were published in Nature, and the tool has been released as open-source software. Microsoft joins Google, Nvidia and others working on AI weather forecasting, with potential users including farmers and emergency responders.

AI Brief

It marks a credible, peer-reviewed and openly released ML advance in subseasonal forecasting from a major lab, with practical implications for planning.

Art depicts palm trees over an image of a swirling tropical storm.

Old-school physics-based weather forecasting and even new AI Models typically become less reliable beyond two weeks, a problem Microsoft claims to have solved using Machine Learning.

Researchers with the company say they've found a new, cost-effective way to make more accurate weather forecasts two to six weeks in advance - allowing farmers and emergency responders to plan ahead with greater certainty. The findings were published today in the journal Nature, and the tool is now open-source software.

Microsoft joins Google, Nvidia, and other companies developing AI tools for weather forecasting. Instead of creating a new Standalone weather …

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