A paper by Professor Gary Froyland focused on spectral theory of dynamical systems has just been published in Nature Communications. 

The paper, Spectral analysis of climate dynamics with operator-theoretic approaches, was co-authored with Dimitrios Giannakis (New York University), Joanna Slawinska (Pusan National University), Benjamin R. Lintner and Maxwell Pike (both from State University of New Jersey). 

Their research shows that the spectral theory of dynamical systems, combined with techniques from data science, provides an effective means for extracting coherent modes of climate variability from high-dimensional model and observational data, requiring no frequency prefiltering, but recovering multiple timescales and their interactions.

Lifecycle composites of the El-Nino Southern Oscillation (ENSO) are shown to improve upon results from conventional indices in terms of dynamical consistency and physical interpretability.

Results also reveal that ENSO could be more predictable than previously thought by correctly assigning historical ENSO events to ENSO phases.

Nature Communications is a multidisciplinary journal dedicated to publishing high-quality research in all areas of the biological, health, physical, chemical and Earth sciences. Papers published by the journal aim to represent important advances of significance to specialists within each field.