
A climate index combining sea-level pressure, surface wind, sea surface temperature, and cloudiness to track El Niño–Southern Oscillation.The Multivariate ENSO Index (MEI) is a single number that summarizes the state of the El Niño–Southern Oscillation (ENSO) — the natural climate cycle that causes El Niño and La Niña events. Instead of relying on just one variable like ocean temperature, the MEI combines six different atmospheric and oceanic measurements taken over the tropical Pacific. This makes it a more robust indicator of ENSO than any single metric alone.
The MEI was introduced in 2002 by Klaus Wolter at NOAA, building on earlier work that used a similar multivariate approach. A revised version, MEI.v2, was released in 2017 to improve consistency with modern datasets.
The MEI is calculated by taking six variables: sea-level pressure, surface zonal (east-west) winds, surface meridional (north-south) winds, sea surface temperature, surface air temperature, and total cloudiness. These are measured over the tropical Pacific and then combined using a statistical technique called principal component analysis. The result is a time series of values — positive values indicate El Niño conditions, negative values indicate La Niña, and near-zero values indicate neutral conditions.
The MEI is used by climate scientists and forecasters to monitor ENSO in real time, helping to predict seasonal weather patterns such as droughts, floods, and changes in hurricane activity across the globe.
Because it combines so many variables, the MEI can sometimes show El Niño or La Niña conditions even when sea surface temperatures alone look neutral.




















