El Niño in a New Light: Operator Spectroscopy of Climate ✎

Original: "Spectral analysis of climate dynamics with operator-theoretic approaches"
arXiv:2104.02902 · 2021-04-07 · arXiv non-exclusive · independent analysis · 3 min
Mathematicians have turned the ocean's chaotic dynamics into a strict cycle, extracting El Niño without filters or indices.

The ocean off the coast of Peru warms and cools, and with it the whole planet runs a fever: rains flood deserts, and tropical forests dry out. This is El Niño, the most noticeable climate oscillation after the changing seasons. For half a century, it has been described by a single number: the water temperature in a small square of ocean. But that number jumps like a pulse during arrhythmia, making it nearly impossible to tell where the cycle is. Mathematicians have proposed a different approach: instead of measuring temperature, find a hidden pendulum in the ocean that swings strictly and predictably.

This pendulum is invisible to the eye because it lives not in the ocean itself, but in how the ocean changes over time. The scientists took 1300 years of model data and 50 years of observations, and for each ocean point they built a rule: if today the water is one degree warmer than usual, then in a month it will be half a degree warmer. There are millions of such rules, but among them they found special ones, those that repeat themselves. These special rules are the eigenfunctions: they describe how heat spreads across the ocean while preserving its shape, like a wave moving through a stadium.

An eigenfunction is not the temperature at a point, but a pattern that moves as a whole. If you look at it at equal time intervals, it rotates like a clock hand without changing its shape.

Among all the patterns, one with a period of about four years stood out. This is El Niño, not as a chaotic burst, but as a steady rotation. When the scientists plotted it, the trajectory stretched into an almost perfect circle, with the point moving at a constant speed. For comparison, the traditional El Niño index on the same plot darts around like a drunkard and does not form a circle. The new method straightened the cycle on its own, without any filters or adjustments.

The straightened circle revealed what was previously lost in the noise. It turns out that La Niña, El Niño's cold sister, arrives not in the middle of the cycle but earlier. The anomalous westerly winds that trigger El Niño appear strictly at the onset stage, not at random. Even double-peaked events, when El Niño seems to stumble and start again, look in the new coordinates not like a glitch but like part of a single rotation.

It used to seem that El Niño was chaos with only occasional hints of rhythm. Now the opposite is clear: inside the chaos sits an almost perfect pendulum, and the chaos is just the trembling of the hand. The method that found it is not tied to the ocean. The same approach can straighten other climate oscillations, such as the pulse of rains over the Indian Ocean, which repeats every 40 to 50 days. If we learn to predict the pendulum's phase, we could say six months in advance what summer will be like in Australia or winter in California.

In 50 years of reanalysis data, the phase determined by the new method transitions to the next one after six months with nearly 100% accuracy. For the traditional index, this accuracy quickly drops to random.

The pendulum hidden in the ocean is now visible. All that remains is to learn how to wind it on schedule.

For the ERSSTv4 reanalysis, the El Niño eigenfunction remains almost perfectly cyclic even in the presence of a warming trend: the trend is captured by a separate eigenvalue with zero frequency, without distorting the cycle.

In Kim Stanley Robinson's novel 'Forty Signs of Rain', climatologists try to predict abrupt climate changes. The operator approach that straightens cycles echoes the attempt to find hidden order in chaos, which the characters seek in their data.

Concepts
ENSO El Niño-Southern Oscillation natural variability Jin-Timmermann model seasonal cycle Multivariate ENSO Index interannual variability climate model spring predictability barrier El Niño index climate North Atlantic Oscillation TAO/TRITON moorings mixed mode oscillations ocean-atmosphere coupling seasonal forcing Dynamical Systems equatorial wave propagation stochastic dynamical system ERSST