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

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 ca...

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Main Authors:	Wong, Chee Loong, Lieu, Juneng, Yusop, Zulkifli, Ismail, Tarmizi, Venneker, Raymond, Uhlenbrook, Stefen
Format:	Article
Published:	MDPI AG 2016
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/67087/ http://dx.doi.org/10.3390/w8110500
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id	my.utm.67087
record_format	eprints
spelling	my.utm.670872017-11-20T08:52:06Z http://eprints.utm.my/id/eprint/67087/ Rainfall characteristics and regionalization in peninsular Malaysia based on a high resolution gridded data set Wong, Chee Loong Lieu, Juneng Yusop, Zulkifli Ismail, Tarmizi Venneker, Raymond Uhlenbrook, Stefen TA Engineering (General). Civil engineering (General) 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 Niño 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 MDPI AG 2016-01-11 Article PeerReviewed Wong, Chee Loong and Lieu, Juneng and Yusop, Zulkifli and Ismail, Tarmizi and Venneker, Raymond and Uhlenbrook, Stefen (2016) Rainfall characteristics and regionalization in peninsular Malaysia based on a high resolution gridded data set. Water, 8 (11). p. 500. ISSN 2073-4441 http://dx.doi.org/10.3390/w8110500
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Wong, Chee Loong Lieu, Juneng Yusop, Zulkifli Ismail, Tarmizi Venneker, Raymond Uhlenbrook, Stefen Rainfall characteristics and regionalization in peninsular Malaysia based on a high resolution gridded data set
description	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 Niño 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
format	Article
author	Wong, Chee Loong Lieu, Juneng Yusop, Zulkifli Ismail, Tarmizi Venneker, Raymond Uhlenbrook, Stefen
author_facet	Wong, Chee Loong Lieu, Juneng Yusop, Zulkifli Ismail, Tarmizi Venneker, Raymond Uhlenbrook, Stefen
author_sort	Wong, Chee Loong
title	Rainfall characteristics and regionalization in peninsular Malaysia based on a high resolution gridded data set
title_short	Rainfall characteristics and regionalization in peninsular Malaysia based on a high resolution gridded data set
title_full	Rainfall characteristics and regionalization in peninsular Malaysia based on a high resolution gridded data set
title_fullStr	Rainfall characteristics and regionalization in peninsular Malaysia based on a high resolution gridded data set
title_full_unstemmed	Rainfall characteristics and regionalization in peninsular Malaysia based on a high resolution gridded data set
title_sort	rainfall characteristics and regionalization in peninsular malaysia based on a high resolution gridded data set
publisher	MDPI AG
publishDate	2016
url	http://eprints.utm.my/id/eprint/67087/ http://dx.doi.org/10.3390/w8110500
_version_	1643655897383174144
score	13.211869

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

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