Searching for low dimensionality in air pollution time series

Time series of atmospheric pollutants (NOx, CO and O3) have been analyzed and the possible presence of low-dimensional chaos has been checked. The analysis has been performed by exploiting the concept of short-term predictability of chaotic systems. Although the time series exhibit statistical characteristics which mimic those typically explained by complex systems, no sign of chaos has been evidenced.