DOI: 10.2166/wcc.2016.126
论文题名: Can monthly precipitation interpolation error be reduced by adding periphery climate stations? A case study in China’s land border areas
作者: Ma J. ; Yan X. ; Hu S. ; Guo Y.
刊名: Journal of Water and Climate Change
ISSN: 20402244
出版年: 2017
卷: 8, 期: 1 起始页码: 102
结束页码: 113
语种: 英语
英文关键词: ANUSPLIN software
; Interpolation error
; Monthly precipitation
; Periphery stations
; Thin-plate smoothing splines
英文摘要: Minor interpolation error of spatially continuous precipitation is increasingly in demand to support many climate studies. In this paper, based on the thin-plate smoothing splines (ANUSPLIN), we studied the effects of adding periphery stations on monthly precipitation interpolation errors in China with 184 stations from neighboring countries during 1971–2000. Here, we show that with the exception of the northern piedmont of the Himalayas, the interpolation accuracy of monthly precipitation was improved greatly in China’s border areas. Mean absolute error was reduced by an average of 2.8 mm month1 across 21 withheld stations. By incorporating 184 foreign stations into interpolation, the overestimated precipitation in the northern piedmont of the Himalayas can be primarily attributed to the drawback that ANUSPLIN had difficulty estimating sharply varying rain shadows in the Qinghai–Tibetan Plateau. Overall, these results mentioned above emphasized the importance of periphery stations to generate gridded precipitation datasets and the limitation of ANUSPLIN to simulate terrain-induced climate transitions. © IWA Publishing 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67554
Appears in Collections: 气候减缓与适应
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作者单位: College of Plant Sciences and Technology, Huazhong Agricultural University, Wuhan, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China
Recommended Citation:
Ma J.,Yan X.,Hu S.,et al. Can monthly precipitation interpolation error be reduced by adding periphery climate stations? A case study in China’s land border areas[J]. Journal of Water and Climate Change,2017-01-01,8(1)