The spatial return level of aggregated hourly extreme rainfall in Peninsular Malaysia

Mardhiyyah Shaffie, Annazirin Eli, Wan Zawiah Wan Zin @ Wan Ibrahim, Abdul Aziz Jemain

Research output: Contribution to journalArticle

Abstract

This paper is intended to ascertain the spatial pattern of extreme rainfall distribution in Peninsular Malaysia at several short time intervals, i.e., on hourly basis. Motivation of this research is due to historical records of extreme rainfall in Peninsular Malaysia, whereby many hydrological disasters at this region occur within a short time period. The hourly periods considered are 1, 2, 3, 6, 12, and 24 h. Many previous hydrological studies dealt with daily rainfall data; thus, this study enables comparison to be made on the estimated performances between daily and hourly rainfall data analyses so as to identify the impact of extreme rainfall at a shorter time scale. Return levels based on the time aggregate considered are also computed. Parameter estimation using L-moment method for four probability distributions, namely, the generalized extreme value (GEV), generalized logistic (GLO), generalized Pareto (GPA), and Pearson type III (PE3) distributions were conducted. Aided with the L-moment diagram test and mean square error (MSE) test, GLO was found to be the most appropriate distribution to represent the extreme rainfall data. At most time intervals (10, 50, and 100 years), the spatial patterns revealed that the rainfall distribution across the peninsula differ for 1- and 24-h extreme rainfalls. The outcomes of this study would provide additional information regarding patterns of extreme rainfall in Malaysia which may not be detected when considering only a higher time scale such as daily; thus, appropriate measures for shorter time scales of extreme rainfall can be planned. The implementation of such measures would be beneficial to the authorities to reduce the impact of any disastrous natural event.

Original languageEnglish
Pages (from-to)61-69
Number of pages9
JournalTheoretical and Applied Climatology
Volume121
Issue number1-2
DOIs
Publication statusPublished - 20 Jul 2014

Fingerprint

rainfall
timescale
logistics
historical record
disaster
diagram
distribution

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

The spatial return level of aggregated hourly extreme rainfall in Peninsular Malaysia. / Shaffie, Mardhiyyah; Eli, Annazirin; Wan Zin @ Wan Ibrahim, Wan Zawiah; Jemain, Abdul Aziz.

In: Theoretical and Applied Climatology, Vol. 121, No. 1-2, 20.07.2014, p. 61-69.

Research output: Contribution to journalArticle

@article{6c7fcc13a5ce4094ad4dcfd80ba7aeb4,
title = "The spatial return level of aggregated hourly extreme rainfall in Peninsular Malaysia",
abstract = "This paper is intended to ascertain the spatial pattern of extreme rainfall distribution in Peninsular Malaysia at several short time intervals, i.e., on hourly basis. Motivation of this research is due to historical records of extreme rainfall in Peninsular Malaysia, whereby many hydrological disasters at this region occur within a short time period. The hourly periods considered are 1, 2, 3, 6, 12, and 24 h. Many previous hydrological studies dealt with daily rainfall data; thus, this study enables comparison to be made on the estimated performances between daily and hourly rainfall data analyses so as to identify the impact of extreme rainfall at a shorter time scale. Return levels based on the time aggregate considered are also computed. Parameter estimation using L-moment method for four probability distributions, namely, the generalized extreme value (GEV), generalized logistic (GLO), generalized Pareto (GPA), and Pearson type III (PE3) distributions were conducted. Aided with the L-moment diagram test and mean square error (MSE) test, GLO was found to be the most appropriate distribution to represent the extreme rainfall data. At most time intervals (10, 50, and 100 years), the spatial patterns revealed that the rainfall distribution across the peninsula differ for 1- and 24-h extreme rainfalls. The outcomes of this study would provide additional information regarding patterns of extreme rainfall in Malaysia which may not be detected when considering only a higher time scale such as daily; thus, appropriate measures for shorter time scales of extreme rainfall can be planned. The implementation of such measures would be beneficial to the authorities to reduce the impact of any disastrous natural event.",
author = "Mardhiyyah Shaffie and Annazirin Eli and {Wan Zin @ Wan Ibrahim}, {Wan Zawiah} and Jemain, {Abdul Aziz}",
year = "2014",
month = "7",
day = "20",
doi = "10.1007/s00704-014-1222-z",
language = "English",
volume = "121",
pages = "61--69",
journal = "Theorectical and Applied Climatology",
issn = "0177-798X",
publisher = "Springer Wien",
number = "1-2",

}

TY - JOUR

T1 - The spatial return level of aggregated hourly extreme rainfall in Peninsular Malaysia

AU - Shaffie, Mardhiyyah

AU - Eli, Annazirin

AU - Wan Zin @ Wan Ibrahim, Wan Zawiah

AU - Jemain, Abdul Aziz

PY - 2014/7/20

Y1 - 2014/7/20

N2 - This paper is intended to ascertain the spatial pattern of extreme rainfall distribution in Peninsular Malaysia at several short time intervals, i.e., on hourly basis. Motivation of this research is due to historical records of extreme rainfall in Peninsular Malaysia, whereby many hydrological disasters at this region occur within a short time period. The hourly periods considered are 1, 2, 3, 6, 12, and 24 h. Many previous hydrological studies dealt with daily rainfall data; thus, this study enables comparison to be made on the estimated performances between daily and hourly rainfall data analyses so as to identify the impact of extreme rainfall at a shorter time scale. Return levels based on the time aggregate considered are also computed. Parameter estimation using L-moment method for four probability distributions, namely, the generalized extreme value (GEV), generalized logistic (GLO), generalized Pareto (GPA), and Pearson type III (PE3) distributions were conducted. Aided with the L-moment diagram test and mean square error (MSE) test, GLO was found to be the most appropriate distribution to represent the extreme rainfall data. At most time intervals (10, 50, and 100 years), the spatial patterns revealed that the rainfall distribution across the peninsula differ for 1- and 24-h extreme rainfalls. The outcomes of this study would provide additional information regarding patterns of extreme rainfall in Malaysia which may not be detected when considering only a higher time scale such as daily; thus, appropriate measures for shorter time scales of extreme rainfall can be planned. The implementation of such measures would be beneficial to the authorities to reduce the impact of any disastrous natural event.

AB - This paper is intended to ascertain the spatial pattern of extreme rainfall distribution in Peninsular Malaysia at several short time intervals, i.e., on hourly basis. Motivation of this research is due to historical records of extreme rainfall in Peninsular Malaysia, whereby many hydrological disasters at this region occur within a short time period. The hourly periods considered are 1, 2, 3, 6, 12, and 24 h. Many previous hydrological studies dealt with daily rainfall data; thus, this study enables comparison to be made on the estimated performances between daily and hourly rainfall data analyses so as to identify the impact of extreme rainfall at a shorter time scale. Return levels based on the time aggregate considered are also computed. Parameter estimation using L-moment method for four probability distributions, namely, the generalized extreme value (GEV), generalized logistic (GLO), generalized Pareto (GPA), and Pearson type III (PE3) distributions were conducted. Aided with the L-moment diagram test and mean square error (MSE) test, GLO was found to be the most appropriate distribution to represent the extreme rainfall data. At most time intervals (10, 50, and 100 years), the spatial patterns revealed that the rainfall distribution across the peninsula differ for 1- and 24-h extreme rainfalls. The outcomes of this study would provide additional information regarding patterns of extreme rainfall in Malaysia which may not be detected when considering only a higher time scale such as daily; thus, appropriate measures for shorter time scales of extreme rainfall can be planned. The implementation of such measures would be beneficial to the authorities to reduce the impact of any disastrous natural event.

UR - http://www.scopus.com/inward/record.url?scp=84931575359&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84931575359&partnerID=8YFLogxK

U2 - 10.1007/s00704-014-1222-z

DO - 10.1007/s00704-014-1222-z

M3 - Article

VL - 121

SP - 61

EP - 69

JO - Theorectical and Applied Climatology

JF - Theorectical and Applied Climatology

SN - 0177-798X

IS - 1-2

ER -