“…The general aim of EOF analysis is to efficiently extract the most dominant modes of variability from large data sets by decomposing the associated space-time field into spatial patterns and time indices, or principal components (Wilks, 2006). This analysis has been demonstrated to be skillful in capturing the essential dynamics of the subpolar gyre (SPG), which is now recognized to have significant implications for a wide range of climatic (Lohmann et al, 2009a), and ecological (Hátún, Payne, Beaugrand, et al, 2009;Hátún, Payne, & Jacobsen, 2009;Hátún et al, 2016;Hátún, Azetsu-Scott, et al, 2017;Hátún, Olsen, et al, 2017;Hovland et al, 2013;Solmundsson et al, 2010) aspects of the North Atlantic Ocean.…”