  In this paper we present a detailed statistical analysis related to the
characterization of the spatial and temporal fluctuations present in the
rainfall patterns of North-East region ($26.05^{\circ}N-26.95^{\circ}N$,
$88.05^{\circ}E-94.95^{\circ}E$) of India using half hourly rainfall data over
the last 20 years for the range 2001-2020. We analyze the nature of the
distribution by computing the mean, second moment of the fluctuation, skewness
and kurtosis of the temporal rainfall data that indicate the presence of heavy
tail in the right skewed distribution a typical feature of the presence of rare
events. We find that the temporal distribution of the rainfall data follow the
multiplicative Log-Normal probability distribution. Further we compute the
spatial and temporal correlation of the rainfall in this region indicate that
the rainfall events are correlated in the spatial direction of about 70 Km. The
Power spectral density of temporal rainfall shows power law behaviour with
frequency with an exponent $\sim -1.5$ close to the Kolmogorov exponent
($-1.67$) exhibited for the turbulent passive scalar driven by the mean flow.
Our wavelet analysis reveals the evidence of multiple frequencies in the
rainfall pattern which can attributed to different short and long range factors
responsible for the rainfall. We have also used the Hilbert Huang
transformation to identify the frequencies corresponding fluctuating part of
the rainfall time series. Using multifractal detrended fluctuation analysis,
finally we establish the multifractal nature of the rainfall pattern with Hurst
exponent close to $0.65$ .
