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Keyword: tropical cyclones ×Clear all

6 claims from 3 papers

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

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

   Pathak, Subramanian, Harrington et al. · arXiv (Cornell University) · 2022

   FourCastNet is a global, data-driven weather model at 0.25° resolution that gives short to medium-range forecasts and runs far faster than the traditional IFS model.

   Unchecked2 claims
   Show 2 claims

   1. UncheckedFourCastNet, a data-driven model, is reported to match the IFS at short lead times for large-scale variables and to beat it for fine-scale ones such as precipitation.“FourCastNet matches the forecasting accuracy of the ECMWF Integrated Forecasting System (IFS), a state-of-the-art Numerical Weather Prediction (NWP) model, at short lead times for large-scale variables, while outperforming IFS for variables with complex fine-scale structure, including precipitation.”
   2. UncheckedFourCastNet, a data-driven weather model, produces a week-long global forecast in under 2 seconds, orders of magnitude faster than the IFS.“FourCastNet generates a week-long forecast in less than 2 seconds, orders of magnitude faster than IFS.”

2. Environmental Science › Climate variability and models

   ACE2: accurately learning subseasonal to decadal atmospheric variability and forced responses

   Watt‐Meyer, Henn, McGibbon et al. · npj Climate and Atmospheric Science · 2025

   Unchecked2 claims
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   1. Unchecked“It exactly conserves global dry air mass and moisture and can be stepped forward stably for arbitrarily many steps with a throughput of about 1500 simulated years per wall clock day.”
   2. Unchecked“ACE2 generates emergent phenomena such as tropical cyclones, the Madden Julian Oscillation, and sudden stratospheric warmings.”

3. Earth and Planetary Sciences › Tropical and Extratropical Cyclones Research

   Can AI weather models predict out-of-distribution gray swan tropical cyclones?

   Sun, Hassanzadeh, Zand, Chattopadhyay, Weare and Abbot · arXiv (Cornell University) · 2024

   Unchecked2 claims
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   1. Unchecked“All versions yield similar accuracy for global weather, but the one trained without Category 3-5 TCs cannot accurately forecast Category 5 TCs, indicating that these models cannot extrapolate from weaker storms.”
   2. Unchecked“The versions trained without Category 3-5 TCs in one basin show some skill forecasting Category 5 TCs in that basin, suggesting that FourCastNet can generalize across tropical basins.”