To examine this hypothesis, we employ the daily Optimum Interpolation Sea Surface Temperature (OISST) V2 High Resolution Dataset from NOAA over 33 cold seasons (January-February 1982/83 – 2014/15) to decompose north Pacific and north Atlantic SSTs into leading modes of variability using empirical orthogonal function (EOF) / principal component (PC) analysis. After computing the EOFs for both sectors, we compute PCs in units of standard deviations and composite 10 hPa potential vorticity using ERA-Interim global atmospheric reanalysis data for overlapping days at or above +1.5 standard deviations and +1.0 standard deviations. Additionally, we composite SST anomalies on days with an elongated polar vortex as determined through a non-parametric correlation of the potential vorticity data. It is found that the elongated polar vortex exhibits a statistically significant relationship with high SST anomalies in both oceans. Results of the composites, in addition to hypothesized physical mechanisms behind the relationship, are presented and discussed.