Fig. 8: Joint variability of water balance and sea-level pressure.
From: Patterns and drivers of Holocene moisture variability in mid-latitude eastern North America
Changes in joint variability patterns in canonical correlation analysis (CCA) between simulated annual water balance (annual precipitation minus potential evapotranspiration; P − PET) and simulated summer (June, July, and August) sea-level pressure (SLP) are shown based on CESM1. Results are shown for 12, 11, and 9 ka, as well as the preindustrial (PI) control run. For each of the time windows, the results for the first CCA component (CCA1) are shown in panels (a–d) and for the second CCA component (CCA2) in panels (e–h). CCA1 shows the result with the highest, CCA2 with the second highest correlation (rcanon; indicated inside each P − PET panel) between water balance and SLP. Note that the CCA1 may not always represent the pattern with highest explained variance (indicated in parentheses in the panel titles) for the individual P − PET or SLP component, which in some cases is larger for CCA2, as the analysis was targeted to find the strongest modes of joint (rather than individual) variability in P − PET and SLP. All rcanon are statistically significant with p < 0.05.
