Buoyant materials in the ocean, such as plastics, oil and a vari- ety of marine flora and fauna, are both dispersed and concentrated by the action of the fluctuating near surface velocity field. Sur- face dispersion takes place on all scales, while surface concentra- tion, requiring non-zero horizontal divergence, typically occurs at the ageostrophic submesoscales where horizontal density gradients produce significant downwelling velocities. Recent work by D’Asaro et al documents a dramatic case of organized clustering by sub- mesoscale motions during the 2016 Winter LASER field campaign where 100’s of GPS tracked near-surface drifters initially arranged in a 10X10km array collapsed to within 100m of each other over the course of several days. The deployment in this case was specif- ically targeted to a strong cyclonic feature evolving along a sharp density front of Mississippi outflow. Questions remain about how prevalent such occurrence are, and what the relative importance of submesoscale surface clustering versus classical turbulent dispersion processes might be in any given pollutant release. To provide some quantification of this, we analyze the clustering behavior of drifter observations provided by other LASER launches, in particular a ’randomly’ positioned, near simultaneous launch of some 300 units. Various multi-point metrics indicate at least four specific episodes of strong clustering (the simultaneous convergence of multiple drifters to patches with length scales less than 100m) during the first 21 days after launch. In each case, drifter-based estimates of surface kinematic properties identify common features typically associated with submescale dynamics, namely cyclonic vorticity with magni- tude several times Coriolis and associated convergence with similar inverse time-scales. Although the specific submesoscale features re- sponsible for the observed surface convergence vary (small cyclonic eddies, apparent rapid roll-up of a front), comparison to available wind-wave models and observations suggest that the convergence events correlate with low wind periods following strong atmospheric frontal passages.