Accès ouvert

Analysis of Arctic Buoy Dynamics using the Discrete Fourier Transform and Principal Component Analysis

Article scientifique 2023 Anglais

Résumé

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.

Citer ce document

Hepworth, J., Mishra, A. (2023). Analysis of Arctic Buoy Dynamics using the Discrete Fourier Transform and Principal Component Analysis. https://doi.org/10.1109/i2mtc53148.2023.10176076

Accès au document

Texte intégral en lecture en ligne, réservé aux abonnés SPHAERO et aux membres de l'institution. Se connecter

Voir l'article sur le site de la revue

Auteur(s)

James Hepworth Amit Kumar Mishra

Statistiques

Consultations : 1

Téléchargements : 0