  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 and classify them based on the
multifractal features of their reconstructed phase space dynamics. We also
report the variations in climate dynamics over time in these locations by
estimating the recurrence-based measures using a sliding window analysis on the
data sets. We could then detect significant shifts in climate variability in
different spatial locations during the period 1970-2000. The dynamical systems
approach presented thus helps to understand the complexity and identify the
heterogeneity in climate dynamics. The study also provides relevant inputs on
the nature of the shifts in climate that occur in the locations spread over
different climate zones.

Atmospheric and Oceanic Physics;Chaotic Dynamics;Data Analysis, Statistics and Probability