Open AccessStatistical Study of Variability in Rainfall and Analysis of Etreme Rainfall Events for Hill Stations of Uttarakhand
Author(s) -
Bimal Pande,
S. C. Joshi,
Seema Pande
Publication year - 2019
Publication title -
journal of mountain research/journal of mountain research
Language(s) - English
Resource type - Journals
eISSN - 2582-5011
pISSN - 0974-3030
DOI - 10.51220/jmr.v14i1.13
Subject(s) - principal component analysis , altitude (triangle) , geography , statistical analysis , environmental science , statistics , climatology , mathematics , geology , geometry
Statistical analysis of rainfall pattern and its variability for 20 years (1990-2010) data isperformed for two mountainous urban centres of Uttarakhand i.e. Almora (29.60 N, 79.670 E and altitude 1,204m asl) and Nainital (29.40 N, 79.470 E and altitude 2,020m asl). Non Parametric method of Principal Component Analysis (PCA) gives the correlation between different extreme rainfall indices. It is concluded that PCA suggest 90% of the variance in composite matrix of extreme rainfall indices.