Microsoft researchers unveil low-cost machine learning tool for more accurate weather forecasts two to six weeks ahead (report)

Verified (fact)

According to The Verge, Microsoft researchers said they have found a cost-effective machine learning method that more accurately forecasts weather two to six weeks ahead. Physics-based forecasts and existing AI models generally become less reliable beyond two weeks. The company claims it has overcome this limitation and says farmers and disaster responders could use it. The excerpt does not include specific accuracy figures.

Needs fact-check (claim)

Microsoft: It has solved the problem of forecast reliability beyond two weeks using machine learning.

Why it matters (interpretation)

The two-to-six-week 'subseasonal' range has long been a gap in forecasting. If its accuracy is verified, it could be used directly in planning for agriculture, energy, and disaster preparedness.

Sources

• Press Microsoft has a new machine learning tool to improve weather forecasts The Verge

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