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Regional precipitation scenarios using a spatial statistical downscaling approach for Klang watershed, Malaysia.

Kabiri, Reza; Bai V., Ramani; Chan, Andy

Authors

Reza Kabiri

Ramani Bai V.

Andy Chan



Abstract

"Climate change" describes the consequences that changes in climate have on the global environment. Rainfall gauge stations have been used in this study to run spatial statistical downscaling (SDSM). SDSM uses a multiregression method to link large-scale climate variables provided by Global Climate Models (GCMs) simulations with daily climatic data from local sites. The aim of this study is to assess the impact of climate change on predicted future precipitation across three timeslices - 2020s, 2050s and 2080s - under scenario A2 of the Intergovernmental Panel on Climate Change (IPCC). To estimate rainfall trend over the Klang catchment, we was attempted to establish a spatial rainfall analysis of the 10 selected rainfall stations using geo-statistical functions in a geographic information system (GIS). The watershed seems to experience increased rainfall towards the end of the century. However, the analysis indicates that there will likely be a negative trend of mean precipitation in the 2020s and no difference in the 2050s. The precipitation experiences a mean annual decrease amount by 7%, 0.6% and 0.9 % for the A2 scenario in the 2020s and 2050s respectively, and an increase by 12.4% in the 2080s. It can be concluded that days with heavy precipitation will occur more frequently, causing a higher frequency of high river flow events.

Citation

KABIRI, R., BAI V., R. and CHAN, A. 2013. Regional precipitation scenarios using a spatial statistical downscaling approach for Klang watershed, Malaysia. Journal of environmental research and development [online], 8(1), pages 126-134. Available from: https://tinyurl.com/jerad-8-1-126

Journal Article Type Article
Acceptance Date Sep 15, 2013
Online Publication Date Sep 30, 2013
Publication Date Sep 30, 2013
Deposit Date Aug 18, 2023
Publicly Available Date Jul 30, 2024
Journal Journal of environmental research and development
Print ISSN 0973-6921
Electronic ISSN 2319-5983
Publisher Jerad Publications
Peer Reviewed Peer Reviewed
Volume 8
Issue 1
Pages 126-134
Keywords Rainfall; Precipitation; Climate change; Malaysia
Public URL https://rgu-repository.worktribe.com/output/2044005
Publisher URL https://tinyurl.com/jerad-8-1-126

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