Michael Groom (CSIRO) – Interpretable forecasts of ENSO phase at multi-year lead times using entropic learning
Abstract Machine learning, in particular deep learning, has shown great potential in outperforming conventional GCMs at predicting ENSO, providing useful forecast skill beyond the Boreal spring predictability barrier and enabling […]