Application of loglinear models in estimating wet category in monthly rainfall

Wahidah Sanusi, Kamarulzaman Ibrahim

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Climate changes have become serious issues that have been widely discussed by researchers. One of the issues concerns with the study in changes of rainfall patterns. Changes in rainfall patterns affect the dryness and wetness conditions of a region. In this study, the three-dimensional loglinear model was used to fit the observed frequencies and to model the expected frequencies of wet class transition on eight rainfall stations in Peninsular Malaysia. The expected frequency values could be employed to determine the odds value of wet classes of each station. Further, the odds values were used to estimate the wet class of the following month if the wet class of the previous month and current month were identified. The wet classification based on SPI index (Standardized Precipitation Index). For station that was analyzed, there was no difference found were between estimated and observed wet classes. It was concluded that the loglinear models can be used to estimate the wetness classes through the estimates of odds values.

Original languageEnglish
Pages (from-to)1345-1353
Number of pages9
JournalSains Malaysiana
Volume41
Issue number11
Publication statusPublished - Nov 2012

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rainfall
climate change
station
index

Keywords

  • Loglinear models
  • Odds
  • Standardized Precipitation Index (SPI)
  • Wet classification

ASJC Scopus subject areas

  • General

Cite this

Application of loglinear models in estimating wet category in monthly rainfall. / Sanusi, Wahidah; Ibrahim, Kamarulzaman.

In: Sains Malaysiana, Vol. 41, No. 11, 11.2012, p. 1345-1353.

Research output: Contribution to journalArticle

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