Impact of ageostrophic dynamics on the predictability of Lagrangian trajectories in surface-ocean turbulence

TL;DR

This study examines how ageostrophic motions influence the predictability and clustering of surface-ocean particles, revealing that neglecting these motions can lead to overestimations in dispersion rates and significant transient clustering.

Contribution

It introduces a model incorporating ageostrophic dynamics to assess their impact on Lagrangian particle trajectories and clustering in ocean turbulence.

Findings

Ageostrophic motions cause significant transient particle clustering.

Filtering out ageostrophic components overestimates pair-separation rates.

Trajectory bias increases with Rossby number.

Abstract

Turbulent flows at the surface of the ocean deviate from geostrophic equilibrium on scales smaller than about 10 km. These scales are associated with important vertical transport of active and passive tracers, and should play a prominent role in the heat transport at climatic scales and for plankton dynamics. Measuring velocity fields on such small scales is notoriously difficult but new, high-resolution satellite altimetry is starting to reveal them. However, the satellite-derived velocities essentially represent the geostrophic flow component, and the impact of unresolved ageostrophic motions on particle dispersion needs to be understood to properly characterize transport properties. Here, we investigate ocean fine-scale turbulence using a model that represents some of the processes due to ageostrophic dynamics. We take a Lagrangian approach and focus on the predictability of the particle dynamics, comparing trajectories advected by either the full flow or by its geostrophic component only. Our results indicate that, over long times, relative dispersion is marginally affected by the filtering of the ageostrophic component. Nevertheless, advection by the filtered flow leads to an overestimation of the typical pair-separation rate, and to a bias on trajectories (in terms of displacement from the actual ones), whose importance grows with the Rossby number. We further explore the intensity of the transient particle clustering induced by ageostrophic motions and find that it can be significant, even for small flow compressibility. Indeed, we show that clustering is here due to the interplay between compressibility and persistent flow structures that trap particles, enhancing their aggregation.