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To explore the implications of this timescale selection, the Fourier transform used in the identification process was applied to the 500 hPa rotated meridional wind anomaly data (FIGURE 4). That analysis revealed wavenumber 7 as the most dominant frequency for daily timescale data in the PSA-sector, with wavenumber 6 dominating the frequency spectrum for a 10-90 day running window. Given that the PSA pattern is itself characterized by wavenumber 5-6 variability in the PSA-sector, this result suggests that (a) the PSA pattern is a dominant regional feature on weekly through to seasonal timescales, and (b) by extension the climatological results obtained from 30-day running mean data are also relevant at those timescales.  \subsection{General PSA-like variability}  Duration, propagation, phase distribution.