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Classification of daily torrential rainfall patterns based on a robust correlation measure

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General Information Cached
Title
Classification of daily torrential rainfall patterns based on a robust correlation measure
Type
Article
Main Author
Shazlyn Milleana Shaharudin
Subject
G Geography (General)
Language Code
eng
Bibliographic Details
Place of Production
Tanjong Malim
Publisher
Fakulti Sains dan Matematik
Year of publication
2019
Degree Type
Not related
Corporate Name
Universiti Pendidikan Sultan Idris

Abstract

The objective of this study is to identify the main spatial distribution patterns associated with torrential rainfall days that linked to the topography of Peninsular Malaysia.This is done by applying cluster analysis on the most relevant principal directions extracted from a principal components analysis of the between day correlation. However, the characteristic of rainfall data in Peninsular Malaysia involve skewed observations which only take positive values and are skewed towards higher values. Thus, applying PCA based Pearson correlation on rainfall data set could affect cluster partitions and generate extremely unbalanced clusters. Tukey's biweight correlation is introduced to overcome the problem where the weight function down weights data values that is far from the center of the data. The findings indicate that ten rainfall patterns obtained are quite definite and clearly display the dominant role extended by the complex topography and exchange monsoons of the peninsular.  

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