Iyengar, RN (1991) Application of principal component analysis to understand variability of rainfall. In: The Proceeding of the Indian Academy of Sciences: Earth and Planetary Sciences, 100 (2). pp. 105-126.
The usefulness of principal component analysis for understanding the temporal variability of monsoon rainfall is s.tudied. Monthly rainfall data of Karnataka, spread on 50 stations for a period of 82 years have been analysed for interseasonal and interannual variabilities. A subset of the above data comprising 10 stations from the coherent west zone of Karnataka has also been investigated to bring out statistically significant interannual signals in the southwest monsoon rainfall. Conditional probabilities are proposed for a few above normal/below normal transitions. A sample prediction exercise for June-July using such a transition probability has been found to be successful.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this Article belongs to Indian Academy of Sciences.|
|Keywords:||Monsoon;Rainfall variability;Principal components;Empirical orthogonal functions;Eigenvalues;Spatial structure; predictability;Transition probability|
|Department/Centre:||Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences|
|Date Deposited:||03 Nov 2006|
|Last Modified:||19 Sep 2010 04:32|
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