Uncertainty in Rainfall Intensity Duration Frequency Curves of Peninsular Malaysia under Changing Climate Scenarios

This study developed a methodological framework to update the rainfall intensity-duration-frequency (IDF) curves under climate change scenarios. A model output statistics (MOS) method is used to downscale the daily rainfall of general circulation models (GCMs), and an artificial neural network (ANN)...

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Main Authors: Muhammad Noor, Tarmizi Ismail, Eun-Sung Chung, Shamsuddin Shahid, Jang Hyun Sung
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/10/12/1750
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spelling doaj-118ab236cfd743ad883a189e79d8a9662020-11-24T23:48:13ZengMDPI AGWater2073-44412018-11-011012175010.3390/w10121750w10121750Uncertainty in Rainfall Intensity Duration Frequency Curves of Peninsular Malaysia under Changing Climate ScenariosMuhammad Noor0Tarmizi Ismail1Eun-Sung Chung2Shamsuddin Shahid3Jang Hyun Sung4Department of Water and Environmental Engineering, School of Civil Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, MalaysiaDepartment of Water and Environmental Engineering, School of Civil Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, MalaysiaFaculty of Civil Engineering, Department of Civil Engineering, Seoul National University of Science and Technology, Seoul 01811, KoreaDepartment of Water and Environmental Engineering, School of Civil Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, MalaysiaMinistry of Environment, Han River Flood Control Office, Seoul 06501, KoreaThis study developed a methodological framework to update the rainfall intensity-duration-frequency (IDF) curves under climate change scenarios. A model output statistics (MOS) method is used to downscale the daily rainfall of general circulation models (GCMs), and an artificial neural network (ANN) is employed for the disaggregation of projected daily rainfall to hourly maximum rainfall, which is then used for the development of IDF curves. Finally, the 1st quartiles, medians, and 3rd quartiles of projected rainfall intensities are estimated for developing IDF curves with uncertainty level. Eight GCM simulations under two radiative concentration pathways (RCP) scenarios, namely, RCP 4.5 and RCP 8.5, are used in the proposed framework for the projection of IDF curves with related uncertainties for peninsular Malaysia. The projection of rainfall revealed an increase in the annual average rainfall throughout the present century. The comparison of the projected IDF curves for the period 2006⁻2099 with that obtained using GCM hindcasts for the based period (1971⁻2005) revealed an increase in rainfall intensity for shorter durations and a decrease for longer durations. The uncertainty in rainfall intensity for different return periods for shorter duration is found to be 2 to 6 times more compared to longer duration rainfall, which indicates that a large increase in rainfall intensity for short durations projected by GCMs is highly uncertain for peninsular Malaysia. The IDF curves developed in this study can be used for the planning of climate resilient urban water storm water management infrastructure in Peninsular Malaysia.https://www.mdpi.com/2073-4441/10/12/1750rainfall intensity-duration-frequency curvesstatistical downscalingclimate changegeneral circulation modelpeninsular Malaysia
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Noor
Tarmizi Ismail
Eun-Sung Chung
Shamsuddin Shahid
Jang Hyun Sung
spellingShingle Muhammad Noor
Tarmizi Ismail
Eun-Sung Chung
Shamsuddin Shahid
Jang Hyun Sung
Uncertainty in Rainfall Intensity Duration Frequency Curves of Peninsular Malaysia under Changing Climate Scenarios
Water
rainfall intensity-duration-frequency curves
statistical downscaling
climate change
general circulation model
peninsular Malaysia
author_facet Muhammad Noor
Tarmizi Ismail
Eun-Sung Chung
Shamsuddin Shahid
Jang Hyun Sung
author_sort Muhammad Noor
title Uncertainty in Rainfall Intensity Duration Frequency Curves of Peninsular Malaysia under Changing Climate Scenarios
title_short Uncertainty in Rainfall Intensity Duration Frequency Curves of Peninsular Malaysia under Changing Climate Scenarios
title_full Uncertainty in Rainfall Intensity Duration Frequency Curves of Peninsular Malaysia under Changing Climate Scenarios
title_fullStr Uncertainty in Rainfall Intensity Duration Frequency Curves of Peninsular Malaysia under Changing Climate Scenarios
title_full_unstemmed Uncertainty in Rainfall Intensity Duration Frequency Curves of Peninsular Malaysia under Changing Climate Scenarios
title_sort uncertainty in rainfall intensity duration frequency curves of peninsular malaysia under changing climate scenarios
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2018-11-01
description This study developed a methodological framework to update the rainfall intensity-duration-frequency (IDF) curves under climate change scenarios. A model output statistics (MOS) method is used to downscale the daily rainfall of general circulation models (GCMs), and an artificial neural network (ANN) is employed for the disaggregation of projected daily rainfall to hourly maximum rainfall, which is then used for the development of IDF curves. Finally, the 1st quartiles, medians, and 3rd quartiles of projected rainfall intensities are estimated for developing IDF curves with uncertainty level. Eight GCM simulations under two radiative concentration pathways (RCP) scenarios, namely, RCP 4.5 and RCP 8.5, are used in the proposed framework for the projection of IDF curves with related uncertainties for peninsular Malaysia. The projection of rainfall revealed an increase in the annual average rainfall throughout the present century. The comparison of the projected IDF curves for the period 2006⁻2099 with that obtained using GCM hindcasts for the based period (1971⁻2005) revealed an increase in rainfall intensity for shorter durations and a decrease for longer durations. The uncertainty in rainfall intensity for different return periods for shorter duration is found to be 2 to 6 times more compared to longer duration rainfall, which indicates that a large increase in rainfall intensity for short durations projected by GCMs is highly uncertain for peninsular Malaysia. The IDF curves developed in this study can be used for the planning of climate resilient urban water storm water management infrastructure in Peninsular Malaysia.
topic rainfall intensity-duration-frequency curves
statistical downscaling
climate change
general circulation model
peninsular Malaysia
url https://www.mdpi.com/2073-4441/10/12/1750
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AT tarmiziismail uncertaintyinrainfallintensitydurationfrequencycurvesofpeninsularmalaysiaunderchangingclimatescenarios
AT eunsungchung uncertaintyinrainfallintensitydurationfrequencycurvesofpeninsularmalaysiaunderchangingclimatescenarios
AT shamsuddinshahid uncertaintyinrainfallintensitydurationfrequencycurvesofpeninsularmalaysiaunderchangingclimatescenarios
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