Recent forecast skill for the El Nino Southern oscillation

We outline a relationship between three slowly varying characteristics of the coupled ocean-atmosphere system in the tropical Pacific: (i) quasi-periodicity, (ii) extended predictability, and (iii) approximate low dimensionality. The Southern Oscillation index (SOI) and Nino-3 sea surface temperatures characterize climatic variations in the tropical Pacific; these two time series are usually anticorrelated. This low-dimensional characterization suggests that much of the system's seasonal-to-interannual predictability depends on the regular behavior of the two scalar time series under consideration. The predictive skill of two idealized models is studied, showing the strong connection between regularity and predictability. El-Nino/Southern-Oscillation (ENSO) predictability is then assessed for current forecast models. When the periodic component bf the ENSO signal is strong, it results in higher forecast skill. This skill decreases when the anti correlation between Si and Nino-3 temperature anomalies is lost, as it has been in the first half of this decade.