Parametrization of subgrid scales in long-term simulations of the shallow-water equations using machine learning and convex limiting
arXiv:2602.00378v2 Announce Type: replace-cross
Abstract: We present a method for parametrizing sub-grid processes in the Shallow Water equations. We define coarse variables and local spatial averages and use a feed-forward neural network to learn sub…