Fractal dimensional analysis of ozone in tropical region

Climate change is the most studied concept in the world of research. Various new techniques like Neural Networks, learning Non-linear dynamic sand other sareused to predict climate change. Ozone activity may be major forcing of climate change. In this paper we use Ozone data as an indicat or of climate change and study it strend using Hurst’s exponent method. The Fractal dimensional value of Ozone was calculate edtobe 1.1 foraperiod of365 days. This value of Ozone showsa “persistence” that is the future trendis more and more likely to followan established trend.