Long-term spatio-temporal precipitation variations in China with precipitation surface interpolated by ANUSPLIN
作者: Binbin GuoJing ZhangXianyong MengTingbao XuYongyu Song
作者单位: 1Beijing Laboratory of Water Resources Security, Capital Normal University, 100048, Beijing, China
2Hunan Provincial Key Laboratory for Technology and Application of Cultural Heritage Digitalization, Hengyang Normal University, 421002, Hengyang, China
3College of Resources and Environmental Sciences, China Agricultural University (CAU), 100094, Beijing, China
4Department of Civil Engineering, The University of Hong Kong (HKU), Pokfulam, 999077, Hong Kong, China
5Fenner School of Environment and Society, The Australian National University, ACT 2601, Canberra, Australia
刊名: Scientific Reports, 2020, Vol.10 (1), pp.243-n/a
来源数据库: Springer Nature Journal
DOI: 10.1038/s41598-019-57078-3
英文摘要: Abstract(#br)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...
全文获取路径: Springer Nature  (合作)
影响因子:2.927 (2012)