A dynamical pattern alternating between small-amplitude oscillations and large-amplitude excursions, used here to model decadal El Niño bursts.Mixed-mode oscillations are a type of dynamical behavior where a system alternates between phases of small-amplitude, nearly regular oscillations and phases of large-amplitude excursions or spikes. This pattern is common in many natural and engineered systems, from chemical reactions and neuronal firing to climate phenomena. In the context of El Niño, mixed-mode oscillations can describe how the tropical Pacific climate system produces decades of relatively mild variability punctuated by occasional strong El Niño events, rather than behaving uniformly.
The mathematical framework for mixed-mode oscillations was developed in the 1980s–1990s, notably by researchers like John Rinzel and later by Martin Wechselberger, building on earlier work in relaxation oscillations and singular perturbation theory.
The mechanism typically involves two timescales: a fast subsystem that can oscillate or spike, and a slow variable that modulates the fast dynamics. As the slow variable drifts, it moves the system through regions where the fast subsystem behaves differently—sometimes quiescent with small oscillations, sometimes spiking. In El Niño models, this can arise from the interaction between ocean heat content (slow) and sea-surface temperature or thermocline depth (fast), leading to bursts of strong warming events separated by calmer periods.
Beyond climate, mixed-mode oscillations are used to model cardiac arrhythmias, chemical oscillators like the Belousov–Zhabotinsky reaction, and to design better control strategies for systems prone to sudden large excursions.
Mixed-mode oscillations are also observed in the firing patterns of certain neurons, where they produce complex bursts that are thought to encode information differently than regular spiking.



















