<ul><li>This paper demonstrates the feasibility of democratizing AI-driven global weather forecasting models among university research groups.</li><li>The paper highlights the use of NVIDIA's FourCastNetv2, an advanced neural network for weather prediction trained on a subset of the ECMWF ERA5 dataset.</li><li>The training of FourCastNetv2 involved 64 A100 GPUs and took 16 hours to complete, offering significant time and cost reductions compared to traditional NWP.</li><li>The paper provides insights on data management, training efficiency, and model validation, serving as a guide for other university research groups to develop AI weather forecasting programs.</li></ul>

Democracy of AI Numerical Weather Models: An Example of Global Forecasting with FourCastNetv2 Made by a University Research Lab Using GPU

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