Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia

A stochastic downscaling methodology known as the Advanced Weather Generator, AWE-GEN, has been tested at four stations in Peninsular Malaysia using observations available from 1975 to 2005. The methodology involves a stochastic downscaling procedure based on a Bayesian approach. Climate statistic...

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Main Authors:	Abdul Halim, Syafrina, M.D., Zalina, Liew, Juneng
Format:	Conference or Workshop Item
Language:	English English
Published:	Copernicus Publications 2014
Subjects:	GB Physical geography GE Environmental Sciences
Online Access:	http://irep.iium.edu.my/51571/ http://irep.iium.edu.my/51571/ http://irep.iium.edu.my/51571/ http://irep.iium.edu.my/51571/4/51571.pdf http://irep.iium.edu.my/51571/5/51571-Future_projections_of_extreme_precipitation_using_Advanced_Weather_Generator_%28AWE-GEN%29_over_Peninsular_Malaysia_SCOPUS.pdf

id	iium-51571
recordtype	eprints
spelling	iium-515712016-08-12T07:47:03Z http://irep.iium.edu.my/51571/ Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia Abdul Halim, Syafrina M.D., Zalina Liew, Juneng GB Physical geography GE Environmental Sciences A stochastic downscaling methodology known as the Advanced Weather Generator, AWE-GEN, has been tested at four stations in Peninsular Malaysia using observations available from 1975 to 2005. The methodology involves a stochastic downscaling procedure based on a Bayesian approach. Climate statistics from a multi-model ensemble of General Circulation Model (GCM) outputs were calculated and factors of change were derived to produce the probability distribution functions (PDF). New parameters were obtained to project future climate time series. A multi-model ensemble was used in this study. The projections of extreme precipitation were based on the RCP 6.0 scenario (2081–2100). The model was able to simulate both hourly and 24-h extreme precipitation, as well as wet spell durations quite well for almost all regions. However, the performance of GCM models varies significantly in all regions showing high variability of monthly precipitation for both observed and future periods. The extreme precipitation for both hourly and 24-h seems to increase in future, while extreme of wet spells remain unchanged, up to the return periods of 10–40 years Copernicus Publications 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/51571/4/51571.pdf application/pdf en http://irep.iium.edu.my/51571/5/51571-Future_projections_of_extreme_precipitation_using_Advanced_Weather_Generator_%28AWE-GEN%29_over_Peninsular_Malaysia_SCOPUS.pdf Abdul Halim, Syafrina and M.D., Zalina and Liew, Juneng (2014) Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia. In: 6th IAHSEGU International Symposium on Integrated Water Resources Management, 4th-6th June 2014, Bologna, Italy. http://www.proc-iahs.net/364/106/2014/ 10.5194/piahs-364-106-2014
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	GB Physical geography GE Environmental Sciences
spellingShingle	GB Physical geography GE Environmental Sciences Abdul Halim, Syafrina M.D., Zalina Liew, Juneng Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia
description	A stochastic downscaling methodology known as the Advanced Weather Generator, AWE-GEN, has been tested at four stations in Peninsular Malaysia using observations available from 1975 to 2005. The methodology involves a stochastic downscaling procedure based on a Bayesian approach. Climate statistics from a multi-model ensemble of General Circulation Model (GCM) outputs were calculated and factors of change were derived to produce the probability distribution functions (PDF). New parameters were obtained to project future climate time series. A multi-model ensemble was used in this study. The projections of extreme precipitation were based on the RCP 6.0 scenario (2081–2100). The model was able to simulate both hourly and 24-h extreme precipitation, as well as wet spell durations quite well for almost all regions. However, the performance of GCM models varies significantly in all regions showing high variability of monthly precipitation for both observed and future periods. The extreme precipitation for both hourly and 24-h seems to increase in future, while extreme of wet spells remain unchanged, up to the return periods of 10–40 years
format	Conference or Workshop Item
author	Abdul Halim, Syafrina M.D., Zalina Liew, Juneng
author_facet	Abdul Halim, Syafrina M.D., Zalina Liew, Juneng
author_sort	Abdul Halim, Syafrina
title	Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia
title_short	Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia
title_full	Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia
title_fullStr	Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia
title_full_unstemmed	Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia
title_sort	future projections of extreme precipitation using advanced weather generator (awe-gen) over peninsular malaysia
publisher	Copernicus Publications
publishDate	2014
url	http://irep.iium.edu.my/51571/ http://irep.iium.edu.my/51571/ http://irep.iium.edu.my/51571/ http://irep.iium.edu.my/51571/4/51571.pdf http://irep.iium.edu.my/51571/5/51571-Future_projections_of_extreme_precipitation_using_Advanced_Weather_Generator_%28AWE-GEN%29_over_Peninsular_Malaysia_SCOPUS.pdf
first_indexed	2023-09-18T21:13:01Z
last_indexed	2023-09-18T21:13:01Z
_version_	1777411378404917248

Future projections of extreme precipitation using Advanced Weather Generator (AWE-GEN) over Peninsular Malaysia

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