  We present a study on the spatio-temporal pattern underlying the climate
dynamics in various locations spread over India, including the Himalayan
region, coastal region, central and northeastern parts of India. We try to
capture the variations in the complexity of their dynamics derived from
temperature and relative humidity data from 1948-2022. By estimating the
recurrence-based measures from the reconstructed phase space dynamics using a
sliding window analysis on the data sets, we study the climate variability in
different spatial locations. The study brings out the variations in the
complexity of the underlying dynamics as well as their heterogeneity across the
locations in India. We find almost all locations indicate shifts to more
irregular and stochastic dynamics for temperature data around 1972-79 and
shifts back to more regular dynamics beyond 2000. These patterns correlate with
reported shifts in the climate and Indian Summer Monsoon related to strong and
moderate ENSO events and confirm their associated regional variability.
