DOI: 10.3354/cr01486
Scopus记录号: 2-s2.0-85054827343
论文题名: Impact of variability and anisotropy in the correlation decay distance for precipitation spatial interpolation in China
作者: Zhang Y. ; Hidalgo J. ; Parker D.
刊名: Climate Research
ISSN: 0936577X
出版年: 2017
卷: 74, 期: 1 起始页码: 81
结束页码: 93
语种: 英语
英文关键词: Angular-distance weighting interpolation
; Correlation decay distance
; Daily precipitation
英文摘要: Correlation decay distance (CDD) plays a key role in the angular-distance weighting (ADW) interpolation technique, where it is used as the search radius to select correlated neighbors and to calculate relative weights. The purpose of this study was to assess any improvement obtained by using a regionally and seasonally variable CDD rather than a fixed CDD based on the entire mainland China daily precipitation dataset or the intermediate case of a seasonally in - variant CDD within each region. We also assessed the influence of using anisotropic versus isotropic CDDs. We found that the CDD of daily precipitation in China varies spatially and seasonally, and it presents anisotropic behavior, as a result of topography and the predominant atmo - spheric circulation. In general, CDD is largest in winter and smallest in summer, except for limited regions such as the Tibetan plateau. From a cross-validation analysis, we found that taking account of spatial and seasonal variations in CDD generally improves ADW interpolation. Utilization of anisotropic CDDs increases the interpolation skill scores in regions with a dense monitoring network, significant elevation variation (southwestern China), or strongly anisotropic CDDs (Tibetan plateau). © Inter-Research 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116287
Appears in Collections: 气候减缓与适应
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Recommended Citation:
Zhang Y.,Hidalgo J.,Parker D.. Impact of variability and anisotropy in the correlation decay distance for precipitation spatial interpolation in China[J]. Climate Research,2017-01-01,74(1)