Recently, a growing number of studies have used machine learning (ML) models to
parameterize computationally intensive subgrid‐scale processes in ocean models. Such …

Energy exchanges between large-scale ocean currents and mesoscale eddies play an
important role in setting the large-scale ocean circulation but are not fully captured in …

The climatological mean barotropic vorticity budget is analyzed to investigate the relative
importance of surface wind stress, topography, planetary vorticity advection, and nonlinear …

The understanding and representation of energetic transfers associated with ocean
mesoscale eddies is fundamental to the development of parameterizations for climate …

Ocean and atmosphere dynamics span an incredibly wide range of spatial and temporal
scales, with spatial scales ranging from the sub-millimetre viscous scales all the way up to …

The current explosion in machine learning for climate has led to skilled, computationally
cheap emulators for the atmosphere. However, the research for ocean emulators remains …

This paper combines two strains in the literature on subgrid-scale parameterizations for
eddying ocean models to develop six new parameterizations and test them in an idealized …

Ocean mesoscale eddies are often poorly represented in climate models, and therefore,
their effects on the large scale circulation must be parameterized. Traditional …

We describe an idealized primitive-equation model for studying mesoscale turbulence and
leverage a hierarchy of grid resolutions to make eddy-resolving calculations on the finest …

Abstract The Weddell Gyre is one of the dominant features of the Southern Ocean circulation
and its dynamics have been linked to processes of climatic relevance. Variability in the …