# Anomaly time series

An

**anomaly time series** is the

time series of deviations of a quantity from some

mean. Either the mean is calculated for the entire time series, or only for parts of it, for example for each hour of the day if the daily cycle of some variable is to be subtracted. Instead of the arithmetic mean, other indicators of

locality may also be used, such as the numerically more robust

median.

In the atmospheric sciences, the climatological annual cycle is often used as the mean value. Famous atmospheric anomaly time series are for instance the Southern Oscillation index (SOI) and the North Atlantic Oscillation index. SOI is the atmospheric component of El Niņo, while NAO plays an important role for European weather by modification of the exit of the Atlantic storm track.