Google’s new weather prediction system combines AI with traditional physics
Can AI help make more accurate forecasts? That is the hope of Google researchers. Paired with traditional methods, a model called NeuralGCM wants to ” bridge a divide” between the two meteorologist camps.
While new machine-learning techniques that predict weather by learning from years of past data are extremely fast and efficient, they can struggle with long-term predictions. General circulation models, on the other hand, which have dominated weather prediction for the last 50 years, use complex equations to model changes in the atmosphere and give accurate projections, but they are exceedingly slow and expensive to run. Experts are divided on which tool will be most reliable going forward. But the new model from Google instead attempts to combine the two.
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