Fractal dimensional analysis of Indian climatic dynamics

Abstract

In this paper, we use fractal dimensional analysis to investigate the Indian climatic dynamics. We analyze time series data of three major dynamic components of the climate-temperature, pressure and precipitation. We study how climate variability changes from month to month and from one season to the other. We also investigate variability both at a local level (for individual stations) and at a regional level (for groups of stations). Our studies suggest that regional climatic models typically would not be able to predict local climate since they deal with averaged quantities. We find an interesting effect that precipitation during the south-west monsoon is affected by temperature and pressure variability during the preceding winter.