I am very happy to see how Machine Learning is contributing to climate prediction. In particular, the initiative Causality 4 Climate tries to establish the maturity some models may have to infer causes leading to extreme climate processes happening nowadys.
The following paper is particularly in order:
Jakob Runge, Sebastian Bathiany, Erik Bollt, Gustau Camps-Valls, Dim Coumou, Ethan Deyle, Clark Glymour, Marlene Kretschmer, Miguel D. Mahecha, Jordi Muñoz-Marí, Egbert H. van Nes, Jonas Peters, Rick Quax, Markus Reichstein, Marten Scheffer, Bernhard Schölkopf, Peter Spirtes, George Sugihara, Jie Sun, Kun Zhang & Jakob Zscheischler,
"Inferring causation from time series in Earth system sciences"
Nature Communications volume 10, Article number: 2553 (2019)
Link to www of the paper, HERE.
I am also proud to know some of the authors :-)
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