雷永荟等:Natural variability of summer rainfall over China in HadCM3
被阅读 1450 次
2014-04-04

Natural variability of summer rainfall over China in HadCM3
作者:Lei, YH (Lei, Yonghui)[ 1,2 ] ; Hoskins, B (Hoskins, Brian)[ 2,3 ] ; Slingo, J (Slingo, Julia)[ 2,4 ]
CLIMATE DYNAMICS
卷: 42  期: 1-2  页: 417-432
DOI: 10.1007/s00382-013-1726-8
出版年: JAN 2014

摘要
Summer rainfall over China has shown decadal variability in the past half century, which has resulted in major north-south shifts in rainfall with important implications for flooding and water resource management. This study has demonstrated how multi-century climate model simulations can be used to explore interdecadal natural variability in the climate system in order to address important questions around recent changes in Chinese summer rainfall, and whether or not anthropogenic climate change is playing a role. Using a 1,000-year simulation of HadCM3 with constant pre-industrial external forcing, the dominant modes of total and interdecadal natural variability in Chinese summer rainfall have been analysed. It has been shown that these modes are comparable in magnitude and in temporal and spatial characteristics to those observed in the latter part of the twentieth century. However, despite 1,000 years of model simulation it has not been possible to demonstrate that these modes are related to similar variations in the global circulation and surface temperature forcing occurring during the latter half of the twentieth century. This may be in part due to model biases. Consequently, recent changes in the spatial distribution of Chinese summer rainfall cannot be attributed solely to natural variability, nor has it been possible to eliminate the likelihood that anthropogenic climate change has been the driving factor. It is more likely that both play a role.

通讯作者地址: Lei, YH (通讯作者)
Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China.
地址:
[ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China
[ 2 ] Univ Reading, Dept Meteorol, Walker Inst, Reading, Berks, England
[ 3 ] Univ London Imperial Coll Sci Technol & Med, Grantham Inst, London, England
[ 4 ] Met Off, Exeter, Devon, England