  Sea-Ice drift affects various global processes including the air-sea-ice
energy system, numerical ocean modelling, and maritime activity in the polar
regions. Drift has been investigated via various technologies ranging from
satellite based systems to ship or ice-borne processes. This paper analyses the
dynamics of sea-drift in the Arctic over 2019-2021 by Fourier Analysis and
Principal Component Analysis of displacement data generated from the drift
tracks of Ice-Tethered Profilers. We show that the frequency characteristics of
drift support the notion that it is a function of both slowly varying
processes, and higher frequency, random, forcing. In addition, we show that
displacement data features high correlation between deployment locations and,
consequently, suggest that there is scope for the optimisation of profiler
deployment locations and for the reduction in number of instruments required to
capture the displacement characteristics of drift.
