  Accurate representation of large-scale flow patterns in low-resolution ocean
simulations is one of the most challenging problems in ocean modelling. The
main difficulty is to correctly reproduce effects of unresolved small scales on
the resolved large scales. For this purpose, most of current research is
focused on development of parameterisations accounting for the small scales. In
this work we propose an alternative to the mainstream ideas by showing how to
reconstruct a dynamical system from the available reference solution data (our
proxy for observations) and, then, how to use this system for modelling not
only large-scale but also nominally-resolved flow patterns at low resolutions.
The proposed methodology robustly allows to retrieve a system of equations
underlying reduced dynamics of the observed data. Remarkably, its solutions
simulate not only large-scale but also small-scale flow features, which can be
nominally resolved by the low-resolution grid.
