Sains Malaysiana 42(8)(2013): 1051–1058


Projected Changes of Future Climate Extremes in Malaysia

(Unjuran Perubahan Iklim Ekstrim Masa Depan di Malaysia)


Meng Sei Kwan, Fredolin T. Tangang & Liew Juneng*

Research Center for Tropical Climate Change System, Faculty of Science and Technology

Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor D.E. Malaysia


Received: 1 November 2011/Accepted: 3 April 2013



Mitigating and adapting to the impacts of climate change at regional level require downscaled projection of future climate states. This paper examined the possible changes of future climate extremes over Malaysia based on the IPCC SRES A1B emission scenario. The projected changes at 17 stations were produced by bias correcting the UKMO PRECIS downscaling simulation output. The simulation expected higher probability of rainfall extreme occurrences over the west coast of Peninsular Malaysia during the autumn transitional monsoon period. In addition, possible early monsoon rainfall was projected for certain stations located over East Malaysia. The simulation also projected larger increase of warm temperature extremes but smaller decrease of cold extremes, suggesting asymmetric expansion of the temperature distribution. The impact of the elevated green house gases (GHG) in higher on the night time temperature extremes as compared to the day time temperature extremes. The larger increment of warm night frequencies as compared to the warm day suggests smaller diurnal temperature ranges under the influence of higher greenhouse gases. Stations located in East Malaysia were projected to experience the largest increase of warm night occurrence.


Keywords: Bias correction; climate extremes; Malaysia; PRECIS; SRES A1B



Tebatan dan adaptasi kepada impak perubahan iklim pada aras rantauan memerlukan penurunan skala unjuran keadaan iklim masa depan. Kertas ini mengkaji kemungkinan perubahan iklim ekstrim masa depan sekitar Malaysia berasaskan senario pancaran IPCC SRES A1B. Unjuran perubahan pada 17 stesen dihasilkan dengan membetul pincang output simulasi penurunan skala UKMO PRECIS. Simulasi menjangka kebarangkalian kejadian hujan ekstreme yang lebih tinggi di sekitar pantai barat semenanjung Malaysia semasa musim peralihan luruh. Perawalan musim monsun turut diunjur bagi sesetengah stesen di Malaysia timur. Simulasi turut mengunjur penambahan tinggi ekstrim suhu panas tetapi pengurangan rendah ekstreme sejuk. Ini mencadangkan kembangan taburan suhu secara tak bersimetri. Impak peningkatan gas rumah hijau lebih tinggi kepada suhu ekstrm waktu malam berbanding dengan suhu ekstrim waktu siang. Penambahan kekerapan malam panas yang lebih tinggi berbanding dengan siang panas mencadangkan pengurangan julat suhu harian bawah aruhan gas rumah hijau yang tinggi. Stesen-stesen di Malaysia timur diunjur akan mengalami penambahan paling tinggi bagi kejadian malam panas.


Kata kunci: Iklim ekstrim; Malaysia; pembetulan pincang; PRECIS; SRES A1B


Benesterd, R.E., Hanssen-Bauer, I. & Chen, D.L. 2008. Empirical – Statistical Downscaling. Singapore: World Scientific Publishing.

Boè, L., Terray, L., Habets, F. & Martin, E. 2007. Statistical and dynamical downscaling of the Seine basin climate for hydro-meteorological studies. International Journal of Climatology 27(12): 1643-1655.

Cox, P.M., Betts, R.A., Bunton, C.B., Essery, R.L.H., Rowntree, P.R. & Smith, J. 1999. The impact of new land surface physics on the GCM simulation of climate and climate sensitivity. Climate Dynamics 15: 189-203.

Giorgi, F. & Hewitson, B. 2001. Regional climate information – evaluation and projections. In Climate Change 2001: The Scientific Basis, Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change, edited by Houghton, J.T., Ding, Y., Griggs, D.J., Noguer, M., van der Linden, P.J. & Xiaosu, D. Cambridge: Cambridge University Press.

Giorgi, F. & Mearns, M.R. 1991. Approaches to the simulation of regional climate change: A review. Rev. Geophys. 29: 191-216.

Hori, M.E. & Ueda, H. 2006. Impact of global warming on the East Asian winter monsoon as revealed by coupled atmosphere-ocean GCMs. Geophysical Research Letters 33: L03713.

Houghton, J.T., Ding, Y., Griggs, D.J., Noguer, M., van der Linden, P.J. & Xiaosu, D. 2001. Climate Change 2001: The Scientific Basis, Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.

Hudson, D.A. & Jones, R.G. 2002. Regional Climate Model Simulations of Present-day and Future Climates of Southern Africa. Exeter: Met Office Hadley Centre.

Islam, S.U., Rehman, N. & Sheikh, M.M. 2009. Future change in the frequency of warm and cold spells over Pakistan simulated by the PRECIS regional climate model. Climatic Change 94: 35-45.

Jones, R.G., Noguer, M., Hassell, D.C., Hudson, D., Wilson, S.S., Jenkins, G.J. & Mitchell, J.F.B. 2004. Generating High Resolution Climate Change Scenarios Using PRECIS. Exeter: Met Office Hadley Centre.

Juneng, L. & Tangang, F.T. 2010. Long-term trends of winter monsoon synoptic circulations over the maritime continent: 1962–2007. Atmospheric Science Letter 11(3): 199-203.

Karl, T.R., Wang, W.C., Schlesinger, M.E., Knight, R.W. & Portman, D. 1990. A method of relating general circulation model simulated climate to the observed local climate, Part I: Seasonal statistics. Journal of Climate 3: 1053-1079.

McGuffie, K. & Henderson-Sellers, A. 1997. A Climate Modelling Primer. New York: John Wiley and Sons.

McCarthy, J.J., Canziani, O.F., Leary, N.A., Dokken, D.J. & White, K.S. 2001. Climate Change 2001: Impacts, Adaptation, and Vulnerability, Inter-Governmental Panel on Climate Change (IPCC), Work Group II Input to the Third Assessment Report. Cambridge: Cambridge University Press.

Robinson, P.J. & Finkelstein, P.L. 1991. The development of impact oriented climate scenarios. Bulletin of the American Meteorological Society 72: 481-490.

Simon, W., Hassel, D., Hein, D., Jones, R. & Taylor, R. 2004. Installing and Using the Hadley Centre Regional Climate Modelling System, PRECIS, Version 1.1, Exeter: Met Office Hadley Centre.

Wilby, R.L., Charles, S.P., Zorita, E., Timbal, B., Whetton, P. & Mearns, L.O. 2004. Guidelines for use of climate scenarios developed from statistical downscaling methods. http:// materials/Climate/StatisticalDownscalingGuidance.pdf. Accessed 15 March 2011.

Zorita, E. & von Storch, H. 1999. The analog method as a simple statistical downscaling technique: Comparison with more complicated methods. Journal of Climate 12: 2474-2489.



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