Detection of Rainfall Variability on the Basis Ordinal Score

Climate variability in specific rainfall variations has received considerable attention worldwide. The present work considers the daily rainfall data of TRMM Multisatellite Precipitation Analysis (TMPA) version 7 (3B42V7) high resolution $0.25^{\circ} \times 0.25^{\circ}$ gridded data. The rainfall information for the Angul region (CE) in the state of Odisha, India and its surrounding areas (NE, NW, SE, SW) in the winter season (DJF) are extracted from TMPA. To compare the rainfall pattern of the central region (CE) with its surroundings (NE, NW, SE, SW), an ordinal score is calculated between two-time series of rainfall data to determine the similarities and contrasts between rainfall characteristics. The two-time series concerning the CE region do not have a higher ordinal score, indicating that the rainfall patterns in and around the Angul are not statistically similar. Furthermore, the ordinal score of the NE with respect to the CE region is considerably lower till 2008, indicating inhomogeneity of rainfall. Researchers failed to observe such a trend of inhomogeneity in rain.