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

被引:0
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作者
Kaiming Hu
Yingxue Liu
Gang Huang
Zhuoqi He
Shang-Min Long
机构
[1] Chinese Academy of Sciences,Center for Monsoon System Research, Institute of Atmospheric Physics
[2] Chinese Academy of Sciences,State key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics
[3] Joint Center for Global Change Studies (JCGCS),Laboratory for Regional Oceanography and Numerical Modeling
[4] University of Chinese Academy of Sciences,State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology
[5] Qingdao National Laboratory for Marine Science and Technology,College of Oceanography
[6] Chinese Academy of Sciences,undefined
[7] Hohai University,undefined
来源
关键词
summer rainfall; ENSO; atmospheric internal variability; interdecadal change; 夏季降水; ENSO; 大气内部变率; 年代际变化;
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学科分类号
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 Niño-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 upper-level 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.
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页码:259 / 268
页数:9
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