Estimation of Climate Change Impacts on Frequency of Precipitation Extremes Case study: Klang Watershed, Malaysia

Kabiri, R.; Bai, Ramani; Chan, A.
December 2012
International Proceedings of Chemical, Biological & Environmenta;2012, Vol. 49, p144
Academic Journal
This paper presents a statistical downscaling using SDSM tool to link between large-scale climate variables GCMs simulation to the estimation of design storms at a local site based on a daily extreme precipitation data. Key focus of this study was to evaluate the impact of climate change on the occurrence of floods in Klang catchment in Malaysia. The approach posses a statistical downscaling method for estimating the frequency anlysis relations that could take into account the climate changes given by GCMs for current as well as for future climatic conditions. The method was tested using simulations from HadCM3 GCMs under the A2 scenario and annual maximum precipitation data available in study area. The Frequency Analysis relations and the resulting design storms for present and future periods (2020's, 2050's and 2080's) were constructed. It was found that annual precipitation and design storm rainfall intensities downscaled from the HadCM3A2 indicate increasing precipitation trends in the future generated three time slices.


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