Fig. 2: Importance of SSTA and SSHA for subsurface MHW detection at different depths. | Communications Earth & Environment

Fig. 2: Importance of SSTA and SSHA for subsurface MHW detection at different depths.

From: Detecting marine heatwaves below the sea surface globally using dynamics-guided statistical learning

Fig. 2

MCC values of the GSVC model with SSHA and SSTA (red), SSTA alone (blue), and SSHA alone (orange) as predictors at 25 m (a), 50 m (b), 100 m (c) and 200 m (d). Here the values are first averaged over the global ocean (58°S–58°N), and then over 6 combinations of training and test datasets. The errorbar is the standard error of the ensemble mean value of 6 combinations.

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