FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators
Thorsten Kurth(Tamedia (Switzerland)), Shashank Subramanian(Lawrence Berkeley National Laboratory), Peter Harrington(Lawrence Berkeley National Laboratory), Jaideep Pathak(Nvidia (United States)), Morteza Mardani(Nvidia (United States)), David Hall, Andrea Miele(Nvidia (United States)), Karthik Kashinath(Nvidia (United States)), Anima Anandkumar(Nvidia (United States))
Cited by 182Open Access
Abstract
Extreme weather amplified by climate change is causing increasingly devastating impacts across the globe. The current use of physics-based numerical weather prediction (NWP) limits accuracy and resolution due to high computational cost and strict time-to-solution limits.
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