DOI: 10.1016/j.gloplacha.2016.12.009
论文题名: Bias correction of global and regional simulated daily precipitation and surface mean temperature over Southeast Asia using quantile mapping method
作者: Ngai S.T. ; Tangang F. ; Juneng L.
刊名: Global and Planetary Change
ISSN: 0921-8181
出版年: 2017
卷: 149 起始页码: 79
结束页码: 90
语种: 英语
英文关键词: Bias adjustment
; Global climate model
; Quantile mapping
; Regional climate model
Scopus关键词: Mapping
; Adjustment method
; Bias adjustment
; Daily precipitations
; Dynamical downscaling
; Global climate model
; Mean temperature
; Regional climate modeling
; Regional climate models
; Climate models
英文摘要: A trend preserving quantile mapping (QM) method was applied to adjust the biases of the global and regional climate models (GCM and RCMs) simulated daily precipitation and surface mean temperature over Southeast Asia regions based on APHRODITE dataset. Output from four different RCMs as well as their driving GCM in CORDEX-EA archive were corrected to examine the added value of RCMs dynamical downscaling in the context of bias adjustment. The result shows that the RCM biases are comparable to that of the GCM biases. In some instances, RCMs amplified the GCM biases. Generally, QM method substantially improves the biases for both precipitation and temperature. However, the bias adjustment method works better for surface mean temperature and less so for daily precipitation. The large inter-models variability is reduced remarkably after bias adjustment. Overall, study indicates no strong evident that RCMs downscaling as an immediate step before bias correction provides additional improvement to the sub-regional climate compared to the correction directly carried out on their forcing GCM. © 2016 Elsevier B.V. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009863148&doi=10.1016%2fj.gloplacha.2016.12.009&partnerID=40&md5=6b8ecf5dc40f231376335a74389eb0e3
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/11758
Appears in Collections: 全球变化的国际研究计划 气候变化与战略
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作者单位: School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
Recommended Citation:
Ngai S.T.,Tangang F.,Juneng L.. Bias correction of global and regional simulated daily precipitation and surface mean temperature over Southeast Asia using quantile mapping method[J]. Global and Planetary Change,2017-01-01,149.