Application of Principal Component Analysis in Understanding Variability of Monsoonal Rainfall in West Bengal

  • Pijush Basak Narula Institute of Technology, Kolkata
Keywords: South West Monsoon rainfall, Rainfall variability, Principal Components, Empirical orthogonal function, Eigenvalue, Spatial structure, Predictability, Transition probability.

Abstract

The Principal Component Analysis (PCA) is utilized in realizing the temporal variability of South Monsoon (SWM) rainfall. The monthly rainfall data of West Bengal spread over 21 stations for period of 60 years have been analyzed for intra-seasonal and inter-annual variability. The study brings out statistically significant inter-annual signals in the monthly and SWM rainfall. Conditional probabilities are prepared for a few normal/below normal transitions. A sample prediction exercise for July-August using such transition probability has been found to be successful
Published
2024-02-26
How to Cite
Basak, P. (2024). Application of Principal Component Analysis in Understanding Variability of Monsoonal Rainfall in West Bengal. Vayumandal, 40(1-2), 144-160. Retrieved from https://vayumandal.imetsociety.org/index.php/Vayumandal/article/view/163
Issue
Vol 40 No 1-2 (2014): VAYUMANDAL
Section
Research Paper

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