Rainfall characteristics and regionalization in peninsular malaysia based on a high resolution gridded data set

Chee Loong Wong, Ju Neng Liew, Zulkifli Yusop, Tarmizi Ismail, Raymond Venneker, Stefan Uhlenbrook

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Daily gridded rainfall data over Peninsular Malaysia are delineated using an objective clustering algorithm, with the objective of classifying rainfall grids into groups of homogeneous regions based on the similarity of the rainfall annual cycles. It has been demonstrated that Peninsular Malaysia can be statistically delineated into eight distinct rainfall regions. This delineation is closely associated with the topographic and geographic characteristics. The variation of rainfall over the Peninsula is generally characterized by bimodal variations with two peaks, i.e., a primary peak occurring during the autumn transitional period and a secondary peak during the spring transitional period. The east coast zones, however, showed a single peak during the northeast monsoon (NEM). The influence of NEM is stronger compared to the southwest monsoon (SWM). Significantly increasing rainfall trends at 95% confidence level are not observed in all regions during the NEM, with exception of northwest zone (R1) and coastal band of west coast interior region (R3). During SWM, most areas have become drier over the last three decades. The study identifies higher variation of mean monthly rainfall over the east coast regions, but spatially, the rainfall is uniformly distributed. For the southwestern coast and west coast regions, a larger range of coefficients of variation is mostly obtained during the NEM, and to a smaller extent during the SWM. The inland region received least rainfall in February, but showed the largest spatial variation. The relationship between rainfall and the El Nino Southern Oscillation (ENSO) was examined based on the Multivariate ENSO Index (MEI). Although the concurrent relationships between rainfall in the different regions and ENSO are generally weak with negative correlations, the rainfall shows stronger positive correlation with preceding ENSO signals with a time lag of four to eight months.

Original languageEnglish
Article number500
JournalWater (Switzerland)
Volume8
Issue number11
DOIs
Publication statusPublished - 2 Nov 2016

Fingerprint

El Nino-Southern Oscillation
Malaysia
regionalization
Rain
rain
rainfall
monsoon
El Nino
Coastal zones
coasts
coast
Cluster Analysis
Datasets
confidence
meteorological data
Clustering algorithms
annual cycle
spatial variation

Keywords

  • Peninsular malaysia
  • Rainfall regionalization
  • Rainfall trends
  • Rainfall variability
  • Rainfall zonation

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Biochemistry
  • Aquatic Science
  • Water Science and Technology

Cite this

Rainfall characteristics and regionalization in peninsular malaysia based on a high resolution gridded data set. / Wong, Chee Loong; Liew, Ju Neng; Yusop, Zulkifli; Ismail, Tarmizi; Venneker, Raymond; Uhlenbrook, Stefan.

In: Water (Switzerland), Vol. 8, No. 11, 500, 02.11.2016.

Research output: Contribution to journalArticle

Wong, Chee Loong ; Liew, Ju Neng ; Yusop, Zulkifli ; Ismail, Tarmizi ; Venneker, Raymond ; Uhlenbrook, Stefan. / Rainfall characteristics and regionalization in peninsular malaysia based on a high resolution gridded data set. In: Water (Switzerland). 2016 ; Vol. 8, No. 11.
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