
A standardized index measuring the sea-level pressure difference between Tahiti and Darwin, used to monitor the El Niño-Southern Oscillation.The Southern Oscillation Index (SOI) is a simple yet powerful metric used to monitor the state of the El Niño-Southern Oscillation. It is calculated from the difference in sea-level atmospheric pressure between Tahiti (in the central Pacific) and Darwin (in northern Australia). Because these two locations sit on opposite sides of the tropical Pacific, the pressure difference reflects the strength of the Walker circulation—the large-scale east-west atmospheric flow that drives trade winds. A sustained negative SOI indicates El Niño conditions, while a sustained positive SOI indicates La Niña conditions. The index provides a long, continuous record that helps scientists track ENSO variability over decades.
The index was developed in the 1930s by Sir Gilbert Walker, who used pressure readings from these two stations to study the Southern Oscillation, though the term 'Southern Oscillation Index' came into common use later.
The SOI is computed by taking the standardized difference between the monthly mean sea-level pressure anomalies at Tahiti and Darwin. Standardization removes seasonal cycles and makes the index comparable across months. When pressure is higher than normal at Tahiti and lower at Darwin, the SOI is negative, corresponding to weakened trade winds and El Niño. Conversely, when pressure is lower at Tahiti and higher at Darwin, the SOI is positive, indicating stronger trade winds and La Niña. The index is smoothed over several months to filter out weather-scale noise and reveal the slower ENSO signal.
The SOI is used by meteorological agencies and researchers as a real-time indicator of ENSO phase, complementing sea surface temperature indices, and it feeds into seasonal outlooks for rainfall and temperature.
The SOI can be so sensitive that a single month's value can swing dramatically, but a three-month running average is often used to distinguish genuine ENSO events from random atmospheric fluctuations.











