1 citations · 1 across the 1 of their papers we have counts for
2 papers
physics.ao-ph2026★ 1 cited
NORi: An ML-Augmented Ocean Boundary Layer Parameterization
Xin Kai Lee, Ali Ramadhan, Andre Souza +4
NORi is a machine learning (ML) parameterization of ocean boundary layer turbulence that is physics-based and augmented with neural networks. NORi stands for neural ordinary differ…
physics.ao-ph2025
High-level, high-resolution ocean modeling at all scales with Oceananigans
Gregory L. Wagner, Simone Silvestri, Navid C. Constantinou +12
We describe the user interface, governing equations, and numerical methods underpinning the community ocean modeling software called "Oceananigans". Oceananigans development has be…