arXiv Machine Learning
Online learning of subgrid-scale models for quasi-geostrophic turbulence in planetary interiors
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A Shortcut to Statistically Steady-State Turbulence with Flow Matching
Many nonlinear physical systems exhibit an initial transient phase in which perturbations grow before nonlinear interactions lead to a statistically steady state. While this saturated regime is of primary interest, direct numerical simulations must resolve the full transient dynamics before reaching it, incurring significant computational cost.