Figure 7
From: Surface Current in “Hotspot” Serves as a New and Effective Precursor for El Niño Prediction
Skills of retrospective predictions of the Niño 3.4 index as a function of lead months, with varying training and application periods. All predictions are made based on surface currents. Skills are measured by correlation (left) and rms error (right) between the predicted and observed monthly times series of the Niño 3.4 index. Predictions are initialized in (from top to bottom) May, April, March, and February, respectively. The training (application) periods are from 1993–2015 (1993–2015) (black), 1993–2007 (1993–2015) (orange), 1993–2004 (2005–2015) (blue), and 2005–2015 (1993–2004) (red), respectively. The figure is plotted using MATLAB R2015b (http://www.mathworks.com/).
