Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.3354/cr01486 |
Impact of variability and anisotropy in the correlation decay distance for precipitation spatial interpolation in China | |
Zhang, Yingxian1; Hidalgo, Jose2; Parker, David2 | |
2018 | |
发表期刊 | CLIMATE RESEARCH
![]() |
ISSN | 0936-577X |
EISSN | 1616-1572 |
出版年 | 2018 |
卷号 | 74期号:1页码:81-93 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; England |
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). |
英文关键词 | Daily precipitation Correlation decay distance Angular distance weighting interpolation |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000418809700007 |
WOS关键词 | CLIMATE ; TEMPERATURE |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/38482 |
专题 | 气候变化 |
作者单位 | 1.China Meteorol Adm, Natl Climate Ctr, Lab Climate Studies, Beijing 100081, Peoples R China; 2.Met Off Hadley Ctr, Exeter EX1 3PB, Devon, England |
推荐引用方式 GB/T 7714 | Zhang, Yingxian,Hidalgo, Jose,Parker, David. Impact of variability and anisotropy in the correlation decay distance for precipitation spatial interpolation in China[J]. CLIMATE RESEARCH,2018,74(1):81-93. |
APA | Zhang, Yingxian,Hidalgo, Jose,&Parker, David.(2018).Impact of variability and anisotropy in the correlation decay distance for precipitation spatial interpolation in China.CLIMATE RESEARCH,74(1),81-93. |
MLA | Zhang, Yingxian,et al."Impact of variability and anisotropy in the correlation decay distance for precipitation spatial interpolation in China".CLIMATE RESEARCH 74.1(2018):81-93. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论