Contributions to the Interannual Summer Rainfall Variability in the Mountainous Area of Central China and Their Decadal Changes

被引:0
|
作者
Kaiming HU [1 ,2 ,3 ]
Yingxue LIU [2 ,4 ]
Gang HUANG [2 ,3 ,5 ]
Zhuoqi HE [6 ,2 ]
Shang-Min LONG [7 ,6 ]
机构
[1] Center for Monsoon System Research, Institute of Atmospheric Physics,Chinese Academy of Sciences
[2] State key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics,Institute of Atmospheric Physics, Chinese Academy of Sciences
[3] Joint Center for Global Change Studies (JCGCS)
[4] University of Chinese Academy of Sciences
[5] Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology
[6] State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology,Chinese Academy of Sciences
[7] College of Oceanography, Hohai University
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
summer rainfall; ENSO; atmospheric internal variability; interdecadal change;
D O I
暂无
中图分类号
P426.614 [];
学科分类号
0706 ; 070601 ;
摘要
Using a high-resolution precipitation dataset, the present study detected that the mountainous area of central China(MACA) is a hotspot of ENSO’s impact on the summer rainfall variability. Further analysis suggests that both ENSO and atmospheric forcing make contributions to the summer rainfall variability in MACA. The dominant rainfall-related SST mode features as a seasonal transition from an El Ni?o-like warming in the preceding winter to a La Nina-like cooling in the following autumn, and it explains about 29% of the total variance of the rainfall during 1951–2018. It indicates that ENSO with a rapid phase transition is responsible for inducing summer rainfall anomalies in MACA. Besides, an upperlevel circumglobal wave mode in the Northern Hemisphere during summer also explains about 29% of the summer rainfall variance. Contributions of both the SST and the atmospheric modes have experienced interdecadal changes. The influence of the SST mode gradually increases and plays a dominant role in the recent decades, suggesting that ENSO with a rapid phase transition becomes more important for rainfall prediction in MACA.
引用
收藏
页码:259 / 268
页数:10
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