Abstract
Frontal adjustment and restratification in oceanic mixed layers is one of the processes that is considered to be important in the ocean's multi-scale energy transfer, biogeochemical transport, air-sea interaction, acoustic propagation and naval operations. We summarise a CFD-based modelling approach to sample processes at an idealised mixed layer base using passive scalars and particles, given a subset of realistic constraints on these resources in field experiments. The results emphasise the effectiveness of Lagrangian platforms, in particular passive particles, for sampling rapidly evolving submesoscale oceanic fields.