Fig. 2: Mean model skill, measured by ACC between SIC observation and prediction anomalies at 4–6 week leads and spatial patterns of the first SVD mode between SIC and SST. | npj Climate and Atmospheric Science

Fig. 2: Mean model skill, measured by ACC between SIC observation and prediction anomalies at 4–6 week leads and spatial patterns of the first SVD mode between SIC and SST.

From: ENSO’s impact on linear and nonlinear predictability of Antarctic sea ice

Fig. 2

a SIPNet skill. b Linear SIPNet skill. c Nonlinear SIPNet skill, determined by subtracting the linear SIPNet skill (b) from the total SIPNet skill (a). d Anomaly persistence skill. e The proportion of nonlinear SIPNet skill relative to the total SIPNet skill for each region across lead times of 1–8 weeks. f Spatial patterns of the first SVD mode between weekly SIC and SST, where the mode accounts for 52% of total covariance, with a correlation coefficient of 0.67 between the SIC and SST modes time series of the leading mode.

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