Artificial intelligence can replace the equations in conventional numerical weather prediction.

What is it about?

Recent work has begun to explore building global weather prediction models using only machine learning techniques trained on large amounts of atmospheric data. We develop a vastly improved machine learning algorithm capable of operating like traditional weather models and predicting several fundamental atmospheric variables, including near‐surface temperature. While our model does not yet compete with the state‐of‐the‐art in numerical weather prediction, it computes realistic forecasts that perform well and execute extremely quickly, offering a potential avenue for future developments in probabilistic weather forecasting.

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Photo by Vidar Nordli-Mathisen on Unsplash

Photo by Vidar Nordli-Mathisen on Unsplash

Why is it important?

This is an important milestone on the path to potentially replacing current global numerical weather prediction models with models that use artificial intelligence to capture the evolution of the atmosphere.