Why AI Creates Better Weather Forecasts

Weather forecasts have historically relied on physics-based simulations powered by the world’s largest supercomputers. Such methods, called Numerical Weather Prediction models, are constrained by long computational time, and are sensitive to approximations of the physical laws on which they are based.

Deep learning offers a new approach to computing forecasts that stands to revolutionise weather forecasting: rather than incorporating explicit physical laws and attempting to simulate weather in silico, deep learning models learn to predict weather patterns directly from observed …

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