  Lightning casualties cause tremendous loss to life and property. However,
very lately lightning has been considered as one of the major natural
calamities which is now studied or monitored with proper instrumentation. The
lightning characteristics over India have been studying by using daily data low
resolution time series and monthly data high resolution monthly climatology. We
have used ANN time series method (a neural network) to analyze the time series
and defined which one will be the best predictor of lightning over India. The
time series of lightning is output(dependent) and input (independent) are
k-index, AOD, Cape etc. The Gaussian process regression, support vector
machine, regression trees and linear regression defined the input variables.
Which show approximately linear relation.
