Reproduction of the variance scaling structure for Rainfall in Peninsular Malaysia using Bartlett Lewis Model

Ibrahim Suliman Hanaish, Kamarulzaman Ibrahim, Abdul Aziz Jemain

Research output: Contribution to journalArticle

Abstract

Rainfall in Peninsular Malaysia is very much influenced by the monsoons which are characterized by heavy rainfall in a short duration and light rainfall in a long duration. These characteristics often cause the aggregated rainfall data to have a large variance. In order to investigate the reproduction properties of the observed rainfall, a Bartlett Lewis Model is fitted to the hourly rainfall data from 1971 to 2008 which are available at Petaling Jaya rain gauge station. When the model fitting of the variance data at different aggregation levels is considered, it is found that the Bartlett Lewis Model performed better for data at higher time scales (e.g. 6 hours, 12 hours) of the variances as compared to the data at lower time scales (e.g. 2 hours, 3 hours). This result does agree with some previous studies which indicate that it is recommended to use wide interval aggregation scales for describing rainfall variance.

Original languageEnglish
Pages (from-to)5305-5313
Number of pages9
JournalApplied Mathematical Sciences
Volume6
Issue number105-108
Publication statusPublished - 2012

Fingerprint

Malaysia
Rainfall
Rain
Scaling
Aggregation
Model
Time Scales
Agglomeration
Rain gages
Model Fitting
Gauge
Interval

Keywords

  • effect of variance structure
  • Modified Bartlett Lewis Model

ASJC Scopus subject areas

  • Applied Mathematics

Cite this

Reproduction of the variance scaling structure for Rainfall in Peninsular Malaysia using Bartlett Lewis Model. / Hanaish, Ibrahim Suliman; Ibrahim, Kamarulzaman; Jemain, Abdul Aziz.

In: Applied Mathematical Sciences, Vol. 6, No. 105-108, 2012, p. 5305-5313.

Research output: Contribution to journalArticle

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