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The 2014-2015 "Monster"/"Super" El Ni\~no failed to be predicted one yearearlier due to the growing importance of a new type of El Ni\~no, El Ni\~noModoki, which reportedly has much lower forecast skill with the classicalmodels. In this study, we show that, so far as of today, this new El Ni\~noactually can be mostly predicted at a lead time of more than 10 years. This isachieved through tracing the predictability source with an informationflow-based causality analysis, which is rigorously established from firstprinciples in the past decade. We show that the information flowing from thesolar activity 45 years ago to the sea surface temperature results in a causalstructure resembling the El Ni\~no Modoki mode. Based on this, amultidimensional system is constructed out of the sunspot number series withtime delays of 22-50 years. The first 25 principal components are then taken asthe predictors to fulfill the prediction, which through information flow-basedcausal deep learning reproduces rather accurately the events 12 years inadvance.

El Ni\~no Modoki thus far can be mostly predicted more than 10 years ahead of time