气候变化领域集成服务门户(CCPortal): Future projections of Malaysia daily precipitation characteristics using bias correction technique

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DOI	10.1016/j.atmosres.2020.104926
	Future projections of Malaysia daily precipitation characteristics using bias correction technique
	Ngai S.T.; Juneng L.; Tangang F.; Chung J.X.; Salimun E.; Tan M.L.; Amalia S.
发表日期	2020
ISSN	0169-8095
卷号	240
英文摘要	The quantile mapping (QM) bias correction algorithm was applied to bias-correcting the daily rainfall over the Malaysia based on the APHRODITE gridded observed dataset. The quality of the bias correction in reducing the biases of regional climate models in frequency (FREQ), mean intensity (SDII) and 90th percentile (Q90) of the daily rainfall was assessed. The result shows that QM performs well in correcting the rainfall statistics. The QM bias correction method was then applied to seven Regional Climate Models (RCMs) projection output from the CORDEX Southeast Asia (CORDEX-SEA) dataset, to obtain high resolution rainfall change scenarios over the Malaysia, based on the IPCC's representative concentration pathways (RCP) 4.5 and 8.5 scenarios. The ensemble mean of seven RCMs suggests that the future projection expected a decrease in the rainfall frequencies over the Malaysia toward the 21st century for both RCP scenarios. Meanwhile, the rainfall intensity and extremes over the Peninsular Malaysia (East Malaysia) is likely to decrease (increase) especially during the winter (summer and autumn) months by the end of the century. A remarkable decrement of rainfall frequency and extremes was found in western Peninsular Malaysia, with changes of around −4 to −8% with respect to the historical period driven by the RCP4.5 and RCP8.5 scenario respectively. © 2020 Elsevier B.V.
关键词	Climate models Rain Bias correction CORDEX-SEA Extreme rainfall Malaysia Representative concentration pathway Climate change atmospheric correction climate change diurnal variation extreme event future prospect precipitation assessment precipitation intensity regional climate Malaysia
语种	英语
来源机构	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/132494
推荐引用方式 GB/T 7714	Ngai S.T.,Juneng L.,Tangang F.,et al. Future projections of Malaysia daily precipitation characteristics using bias correction technique[J]. Atmospheric Research,2020,240.
APA	Ngai S.T..,Juneng L..,Tangang F..,Chung J.X..,Salimun E..,...&Amalia S..(2020).Future projections of Malaysia daily precipitation characteristics using bias correction technique.,240.
MLA	Ngai S.T.,et al."Future projections of Malaysia daily precipitation characteristics using bias correction technique".240(2020).