气候变化领域集成服务门户(CCPortal): Tackling resolution mismatch of precipitation extremes from gridded GCMs and site-scale observations: Implication to assessment and future projection

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DOI	10.1016/j.atmosres.2020.104908
	Tackling resolution mismatch of precipitation extremes from gridded GCMs and site-scale observations: Implication to assessment and future projection
	Li J.; Gan T.Y.; Chen Y.D.; Gu X.; Hu Z.; Zhou Q.; Lai Y.
发表日期	2020
ISSN	0169-8095
卷号	239
英文摘要	The resolution mismatch between GCMs and in-situ gauge observations is an issue that has to be addressed for assessments and projections of precipitation extremes. The impacts of using different strategies to address this issue on GCM assessments and projections are evaluated in this study. The differences of precipitation extremes derived from GCMs at the original gridded resolutions and site-scale observations can be mostly explained by resolution mismatch. As the spatial and temporal “discontinuous” nature of precipitation, consecutive dry days (precipitation intensity) estimated from GCM data over a grid are likely to be shorter (smaller) than in-situ observations. By interpolating GCMs and observations to a common resolution, areal differences are moderately reduced, but spatial correlations between GCMs and observations may not be necessarily improved. By statistically downscaling the GCM-derived precipitation extremes, the indices agree better with the in-situ observations substantially. Using interpolation or downscaling to resolve resolution mismatch in GCMs may result in contradictory projected changes in extremes. Downscaled precipitation extremes generally change in greater magnitude than interpolated extremes in the projections. © 2020 Elsevier B.V.
学科领域	Earth atmosphere; Meteorology; Down-scaling; Future projections; GCM assessments; In-situ observations; Precipitation extremes; Precipitation intensity; Spatial correlations; Interpolation
语种	英语
scopus关键词	Earth atmosphere; Meteorology; Down-scaling; Future projections; GCM assessments; In-situ observations; Precipitation extremes; Precipitation intensity; Spatial correlations; Interpolation
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120412
作者单位	Department of Geography, Hong Kong Baptist University, Hong Kong, Hong Kong; Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Alberta T6G 2W2, Canada; School of Humanities and Social Science, The Chinese University of Hong Kong, Shenzhen, China; Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, Hong Kong; School of Environmental Studies, China University of Geosciences, Wuhan, China; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; State Key Laboratory of desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China; Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, S henzhen University, Shenzhen, 518060, China
推荐引用方式 GB/T 7714	Li J.,Gan T.Y.,Chen Y.D.,et al. Tackling resolution mismatch of precipitation extremes from gridded GCMs and site-scale observations: Implication to assessment and future projection[J],2020,239.
APA	Li J..,Gan T.Y..,Chen Y.D..,Gu X..,Hu Z..,...&Lai Y..(2020).Tackling resolution mismatch of precipitation extremes from gridded GCMs and site-scale observations: Implication to assessment and future projection.Atmospheric Research,239.
MLA	Li J.,et al."Tackling resolution mismatch of precipitation extremes from gridded GCMs and site-scale observations: Implication to assessment and future projection".Atmospheric Research 239(2020).