Explainable deep learning for insights in El Nino and river flows. (arXiv:2201.02596v1 [physics.ao-ph])

The El Nino Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea
surface temperature (SST) over the tropical central and eastern Pacific Ocean
that influences interannual variability in regional hydrology across the world
through long-range dependence or teleconnections. Recent research has
demonstrated the value of Deep Learning (DL) methods for improving ENSO
prediction as well as Complex Networks (CN) for understanding teleconnections.
However, gaps in predictive understanding of ENSO-driven river flows include
the black box nature of DL, the use …

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