Advances in Atmospheric Sciences

, Volume 35, Issue 12, pp 1469–1477 | Cite as

Impact of Interannual Variation of Synoptic Disturbances on the Tracks and Landfalls of Tropical Cyclones over the Western North Pacific

  • Xingyan Zhou
  • Riyu Lu
  • Guanghua Chen
Original Paper


This study investigates the tropical cyclone (TC) activity associated with the two leading modes of interannual variability in synoptic disturbances. Both leading modes are found to be related to a dipole pattern of TC occurrence between the subtropical western North Pacific and the South China Sea. Therefore, in this study we performed composite analyses on TC tracks and landfalls, based on the cases of combined modes, to highlight the differences. The composite results indicate that these cases are characterized by distinct features of TC tracks and landfalls: more TCs tend to take recurving tracks and attack eastern China, Korea and Japan, or more TCs exhibit straight-moving tracks and hit the Philippines, Vietnam and southern China. Further analyses suggest that these distinctions in the TC prevailing tracks and landfalls can be attributed to the differences in large-scale steering flow and TC genesis location.

Key words

tropical cyclone landfall track interannual variability synoptic disturbance 


本文研究了年际尺度上西北太平洋天气尺度扰动的主模态与热带气旋活动的联系. 天气尺度扰动的前两个主模态都与热带气旋出现频率的偶极子型异常分布有关. 因此, 为了突出这种偶极型差异, 在本文中我们将这两个联合起来, 探究它们的反相变化与热带气旋路径和登陆的联系. 合成结果表明, 在联合配置的不同位相, 热带气旋要么以转向路径为主, 更多地登陆中国东部, 韩国和日本; 要么以直行路径为主, 更多地登陆中国南部, 菲律宾和越南. 进一步的分析表明热带气旋路径和登陆的这些差异主要是由大尺度引到气流和热带气旋生成位置的变化造成的.


热带气旋 登陆 路径 年际变化 天气尺度扰动 


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We thank the two anonymous reviewers for their comments, which were helpful for improving the presentation of this paper. This work was supported by the National Natural Science Foundation of China (Grant Nos. 41721004, 41475074 and 41775063).


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Copyright information

© Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.University of the Chinese Academy of SciencesBeijingChina
  3. 3.Center for Monsoon System Research, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina

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