干旱区生态环境知识资源中心(Arid): Long-term spatio-temporal precipitation variations in China with precipitation surface interpolated by ANUSPLIN

Arid

DOI	10.1038/s41598-019-57078-3
	Long-term spatio-temporal precipitation variations in China with precipitation surface interpolated by ANUSPLIN
	Guo, Binbin 1,2; Zhang, Jing 1; Meng, Xianyong 3,4; Xu, Tingbao 5; Song, Yongyu 1
通讯作者	Zhang, Jing ; Meng, Xianyong
来源期刊	SCIENTIFIC REPORTS
ISSN	2045-2322
出版年	2020
卷号	10 期号:1
英文摘要	Climate changes significantly impact environmental and hydrological processes. Precipitation is one of the most significant climatic parameters and its variability and trends have great influences on environmental and socioeconomic development. We investigate the spatio-temporal variability of precipitation occurrence frequency, mean precipitation depth, PVI and total precipitation in China based on long-term precipitation series from 1961 to 2015. As China's topography is diverse and precipitation is affected by topography strongly, ANUSPLIN can model the effect of topography on precipitation effectively is adopted to generate the precipitation interpolation surface. Mann-Kendall trend analysis and simple linear regression was adopted to examine long-term trend for these indicators. The results indicate ANUSPLIN precipitation surface is reliable and the precipitation variation show different regional and seasonal trend. For example, there is a sporadic with decreasing frequency precipitation trend in spring and a uniform with increasing frequency trend in summer inYangtze Plain, which may affect spring ploughing and alteration of flood risk for this main rice-production areas of China. In northwestern China, there is a uniform with increasing precipitation frequency and intensity trend, which is beneficial for this arid region. Our study could be helpful for other counties with similar climate types.
类型	Article
语种	英语
国家	Peoples R China ; Australia
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000517989900032
WOS关键词	SPACE-TIME CLIMATE ; SPATIAL INTERPOLATION ; OBSERVED TRENDS ; RAINFALL DATA ; VARIABILITY ; FREQUENCY ; INTENSITY ; EXTREMES ; NETWORK ; DATASET
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
来源机构	中国农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315555
作者单位	1.Capital Normal Univ, Beijing Lab Water Resources Secur, Beijing 100048, Peoples R China; 2.Hengyang Normal Univ, Hunan Prov Key Lab Technol & Applicat Cultural He, Hengyang 421002, Peoples R China; 3.China Agr Univ, Coll Resources & Environm Sci, Beijing 100094, Peoples R China; 4.Univ Hong Kong HKU, Dept Civil Engn, Pokfulam, Hong Kong 999077, Peoples R China; 5.Australian Natl Univ, Fenner Sch Environm & Soc, Canberra, ACT 2601, Australia
推荐引用方式 GB/T 7714	Guo, Binbin,Zhang, Jing,Meng, Xianyong,et al. Long-term spatio-temporal precipitation variations in China with precipitation surface interpolated by ANUSPLIN[J]. 中国农业大学,2020,10(1).
APA	Guo, Binbin,Zhang, Jing,Meng, Xianyong,Xu, Tingbao,&Song, Yongyu.(2020).Long-term spatio-temporal precipitation variations in China with precipitation surface interpolated by ANUSPLIN.SCIENTIFIC REPORTS,10(1).
MLA	Guo, Binbin,et al."Long-term spatio-temporal precipitation variations in China with precipitation surface interpolated by ANUSPLIN".SCIENTIFIC REPORTS 10.1(2020).