Enforcing approximate hydrostatic balance as a soft training constraint improves RMSE in a global ML weather model, with gains most visible after 7-10 days.
FuXi: A cascade machine learning forecasting system for 15-day global weather forecast.npj Climate and Atmospheric Science, 6(1):1–11, 2023
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Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction
Enforcing approximate hydrostatic balance as a soft training constraint improves RMSE in a global ML weather model, with gains most visible after 7-10 days.