FourCastNet delivers accurate short-to-medium range global weather predictions at high resolution using data-driven neural operators, matching IFS accuracy on large-scale variables and outperforming it on precipitation while generating week-long forecasts in under two seconds.
Climbing down charney’s ladder: machine learning and the post-dennard era of computational climate science
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FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
FourCastNet delivers accurate short-to-medium range global weather predictions at high resolution using data-driven neural operators, matching IFS accuracy on large-scale variables and outperforming it on precipitation while generating week-long forecasts in under two seconds.