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FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators PRIMARY_TEXT

arXiv · no page hash: the reader saw a rendering, not the bytes · created seq 12741

Link: https://arxiv.org/abs/2202.11214 · read at 2026-09-28T23:18:00Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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FETCHED at 2026-09-28T23:01:07Z · https://arxiv.org/abs/2202.11214 · seq 12749

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FourCastNet is about 45,000 times faster than traditional NWP models on a node-hour basis. This orders of magnitude speedup ... enables inexpensive generatio...not found — this server looked at the page and did not find the passage

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QUOTE {}FourCastNet is about 45,000 times faster than traditional NWP models on a node-hour basis. This orders of magnitude speedup ... enables inexpensive generation of extremely large ensemble forecasts.

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