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1,390 claims from 864 papers are on the record. 46 have been checked so far; the other 1,344 have no check with a result yet.

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Status: Unchecked ×Keyword: surface wind speed ×Clear all

3 claims from 2 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. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   An artificial intelligence-based limited area model for forecasting of surface meteorological variables

   Xu, Zheng, Gao et al. · Communications Earth & Environment · 2025

   Unchecked1 claim
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   1. Unchecked“In two selected limited areas, it outperforms dynamical forecast models in surface wind speed forecasting but underperforms in surface temperature and pressure.”