Autoregressive forecast of monthly total ozone concentration: A neurocomputing approach
Computers & Geosciences
Information Processing and Management: an International Journal
Hi-index | 0.00 |
The endeavor of the present paper is to investigate the existence of chaotic behavior in the underlying dynamics of the total ozone concentration over Arosa, Switzerland (9.68°E, 46.78°N). For this purpose, the correlation dimension method is employed to the mean monthly total ozone concentration data collected over a period of 40 years (1932–1971) at the above location. Based on the observation of a low correlation dimension value of 1 for this data set, the study reports the existence of low-dimensional chaotic behavior in the ozone concentration dynamics.