Neurocoputing Approach to View The Possible Association Between Sunspot Numbers and Indian Summer Monsoon Rainfall

Abstract

The present study aims to investigate the temporal variability of the solar activity, which is typically measured by the sunspot number (SN). The time series of SN provides the longest existing record of solar activity, and is the best available data set for studying the long-term evolution of solar activity and, in particular, the 11-year activity cycle. The SN is correlated with the 10.7 cm solar flux, a quantity measured by remote sensing techniques. The study presented in the work reports an investigation on the temporal variability of the solar activity, which is conventionally measured by the Sunspot Number (SN), and the possible association between the mean annual SN and the rainfall of the summer monsoon over India. Initially we have analysed the autocorrelation structures, which has shown a wave pattern in the case of SN. However, in the case of the monsoon rainfall, no such pattern has been observed. Moreover, ACFs have shown that the time series of SNS shows persistence, which is absent in the case of the summer monsoon rainfall.