This research applies metrics of the stratospheric polar vortex geometry in assessing stratospheric variability and examines the potential usefulness of the geometry metrics in subseasonal-to-seasonal (S2S) forecasts of winter weather extremes. First, a cluster analysis of historic stratospheric vortex variability reveals the type of vortex variability associated with certain extreme weather outcomes for the U.S. Using the cluster analysis as a foundation, we consider the temporal evolution of the vortex geometry using a best-fit ellipse to describe the shape and location of stratospheric vortex as it transitions into the high-impact weather clusters, and the implications of that variability on impacts. We present the results in the context of building towards methodology to develop forecast tools and examine forecast bias in S2S forecasts of stratospheric impacts.

