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LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230628T100000
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UID:submissions.pasc-conference.org_PASC23_sess124@linklings.com
SUMMARY:AK03 - FourCastNet: Accelerating Global High-Resolution Weather Fo
 recasting Using Adaptive Fourier Neural Operators
DESCRIPTION:Keynote, Paper\n\nAK03 - FourCastNet: Accelerating Global High
 -Resolution Weather Forecasting Using Adaptive Fourier Neural Operators\n\
 nExtreme weather amplified by climate change is causing increasingly devas
 tating impacts across the globe. The current use of physics-based numerica
 l weather prediction (NWP) limits accuracy due to high computational cost 
 and strict time-to-solution limits. We report that a data-driven deep lear
 ning ...\n\n\nThorsten Kurth (NVIDIA Inc.); Shashank Subramanian and Peter
  Harrington (Lawrence Berkeley National Laboratory); and Jaideep Pathak, M
 orteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, and Anima Ana
 ndkumar (NVIDIA Inc.)\n\nSession Chair: Cristina Silvano (Politecnico di M
 ilano)
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