"GenCast is a machine learning-based weather model, which learns directly from historical weather data. This is in contrast to traditional models, which make forecasts by solving physics equations."
"One limitation of these traditional models is that the equations they solve are only approximations of the atmospheric dynamics. GenCast is not limited to learning dynamics/patterns that are known exactly and can be written down in an equation."
"Instead it has the opportunity to learn more complex relationships and dynamics directly from the data, and this allows GenCast to outperform traditional models."
"A critical advance in AI-based weather prediction that builds on our previous weather model, GraphCast, which was deterministic, and provided a single, best estimate of future weather."
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