Fig. 1: Distributions of model skill of SIPNet and anomaly persistence with increasing lead time. | npj Climate and Atmospheric Science

Fig. 1: Distributions of model skill of SIPNet and anomaly persistence with increasing lead time.

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

Fig. 1

a Regional ACC histogram from SIPNet and anomaly persistence at 1–3-week leads. b Same as (a) but for 4–6 week leads. The Kolmogorov–Smirnov (KS) test p values for comparing the ACC distributions of the SIPNet model and the anomaly persistence across all Antarctic regions and two lead time groups are all 0, indicating that the ACC distributions between the two models are statistically significantly different in each region, respectively.

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