Progress within physical oceanography has been concurrent with the increasing
sophistication of tools available for its study. The incorporation of machine learning (ML) …

In the context of science, the well-known adage" a picture is worth a thousand words" might
well be" a model is worth a thousand datasets." In this manuscript we introduce the SciML …

A holistic review is given of the Southern Ocean dynamic system, in the context of the crucial
role it plays in the global climate and the profound changes it is experiencing. The review …

The use of machine learning to build subgrid parametrizations for climate models is
receiving growing attention. State‐of‐the‐art strategies address the problem as a supervised …

We present Trixi. jl, a Julia package for adaptive high-order numerical simulations of
hyperbolic partial differential equations. Utilizing Julia's strengths, Trixi. jl is extensible, easy …

We numerically explore convection and general circulation of an ocean, encased in a
spherical shell of uniform thickness, heated from below by a spatially uniform heat flux, and …

The ocean is a crucial component of the Earth's system. It profoundly influences human
activities and plays a critical role in climate regulation. Our understanding has significantly …

Marginal ice zones are composed of discrete sea‐ice floes, whose dynamics are not well
captured by the continuum representation of sea ice in most climate models. This study …

Even to this date, most earth system models are coded in Fortran, especially those used at
the largest compute scales. Our ocean model Veros takes a different approach: it is …

We explore how neural differential equations (NDEs) may be trained on highly resolved fluid-
dynamical models of unresolved scales providing an ideal framework for data-driven …