The monthly time series of the Southern Oscillation Index (SOI) is ana
lysed to examine its chaotic characteristics. Three schemes, moving av
erage, low-pass filter and nonlinear smoothing, were used to reduce no
ise and entrance chaotic properties. Autocorrelation and spectral char
acteristics, as well as three chaos-oriented properties - phase space
trajectory, the largest Lyapunov exponent and correlation dimension -
were then examined. No significant signs of chaotic behaviour were fou
nd for either the noise-reduced SOI time series or the raw one. Althou
gh it contains long-term periodicity, the SOI time series is considere
d to be stochastic rather than chaotic from the viewpoint of dynamical
systems theory. (C) 1998 Elsevier Science B.V.