Segmental Variability of Precipitation In The Mahanadi River Basin During 1901-2017

Abstract Eigen-based sequential spatial pattern analysis an application of PCA is presented here. The analysis examines the spatial distribution of precipitation over the Mahanadi river basin. The Spatial(S)-mode of sequential spatial pattern analysis with the application of Maximum loading value of rotated retained principal component (also referred to as Maximum loading value approach) to assess a gridded monthly rainfall data of resolution 0.25° x 0.25° having a record length of 117 years (1901-2017). The meteorological records have a sequential spatial field for Spatial and Temporal-mode, which can be used for recognizing the area for precipitation variability and regime. The identified patterns of the different timeslot segments were then analyzed for their dispersions of the annual precipitation observed at different station points using similarities and dissimilar characteristics of inter-cluster and between clusters respectively. Validation of the regionalized pattern for distinctness and a pairwise comparison of CDFs using the Kolmogorov-Smirnov ‘D’ statistic test.