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3 papers
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…
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…
Oceananigans.jl: A Julia library that achieves breakthrough resolution, memory and energy efficiency in global ocean simulations
Simone Silvestri, Gregory L. Wagner, Christopher Hill +10
Climate models must simulate hundreds of future scenarios for hundreds of years at coarse resolutions, and a handful of high-resolution decadal simulations to resolve localized ext…