Short Rhythms of El Niño ✎

Original: "High frequency intrinsic modes in El Ni\~no Southern Oscillation Index"
· Filippo Petroni, Marcel Ausloos
arXiv:0805.3464 · 2008-05-22 · arXiv non-exclusive · independent analysis · 1 min
Daily air pressure data over the Pacific Ocean contain short rhythms that help predict weather months in advance.

On the island of Tahiti and in the Australian city of Darwin, barometers stand. They measure air pressure every day. The difference between these two measurements is called the Southern Oscillation Index. In the daily records of this index, as in the noise of an orchestra, steady rhythms are hidden.

Scientists found six such rhythms: 24, 27, 37, 76, 100, and 365 days. Each rhythm is linked to a known natural process. For example, 27 days is the time it takes the Moon to orbit Earth, and 37 days is the time it takes a large cloud cluster to cross the ocean.

If you add all these rhythms together, you can predict what the index will be nine months from now. The forecast accuracy was assessed as 0.73 on the AUC scale. This is a good result for predicting whether the pressure will be above or below average.

After removing the rhythms, the remaining random fluctuations turned out to be not entirely random. Rare strong events such as El Niño do not occur independently of one another but with a memory of the past. This means that after one strong event, the next may come sooner than if pure chance were at play.

The barometers on Tahiti and in Darwin continue to measure pressure. Now their daily readings can be read like a score, where short notes hint at what the next measure will be.

The 100-day period may arise as a beat between 37 and 27 days: 1/(1/27 - 1/37) ≈ 100 days. This is an example of how the interaction of two oscillations generates a third, slower one.

Concepts
El Niño-Southern Oscillation Multivariate ENSO Index Southern Oscillation index interannual variability ENSO Westerly wind burst solar cycle recharge oscillator model seasonal cycle Jin-Timmermann model mixed mode oscillations Teleconnection natural variability seasonal forcing spring predictability barrier high frequency gravitational waves equatorial wave propagation ERSST Madden–Julian Oscillation Southern Oscillation