Figure 11: Onset South Cluster correlation plots with April (a) SST, (b) MSLP, (c) 200mb Zonal Winds
![](data:image/png;base64,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) ![](data:image/png;base64,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)
(a) (b) (c)
Figure 12: Retreat South Cluster correlation plots with June (a) SST, (b) 600mb Zonal Winds, (c) 200mb Zonal Winds
![](data:image/png;base64,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)
(a) (b)
Figure 13: Retreat South Cluster correlation plots with August (a) MSLP, (b) 200mb Zonal Winds
Table 1: Onset Period model predictors
Share with your friends: |