Fig. 1: CNN ensemble mean prediction of EASRI. | npj Climate and Atmospheric Science

Fig. 1: CNN ensemble mean prediction of EASRI.

From: Predicting extreme floods and droughts in East Africa using a deep learning approach

Fig. 1

Comparison of observed EASRI (black-dashed) with CNN predicted using global SSTA and VATA as predictors from September (blue), May (orange), and April (blue) over a period from 1983 to 2021. Gray lines show the 90th and 10th percentile bounds. Ensemble mean ACC at different lead times is significant at the 95% significance level using a two-tailed t-test.

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