Theoretical and Applied Climatology

, Volume 131, Issue 1–2, pp 91–100 | Cite as

Feature analysis and primary causes of pre-flood season “cumulative effect” of torrential rain over South China

  • Qu-cheng Chu
  • Qi-guang Wang
  • Shao-bo Qiao
  • Guo-lin FengEmail author
Original Paper


When persistent rainfall occurs frequently over South China, meso-scale and micro-scale synoptic systems persist and expand in space and time and eventually form meso-scale and long-scale weather processes. The accumulation of multiple torrential rain processes is defined as a “cumulative effect” of torrential rain (CETR) event. In this paper, daily reanalysis datasets collected by the National Centers for Environmental Prediction-Department of Energy (NCEP-DOE) during 1979–2014 are used to study the anomalous features and causes of heavy CETR events over South China. The results show that there is a significant difference in the spatial distribution of the heavy CETR events. Based on the center position of the CETR, the middle region displayed middle-region-heavy CETR events while the western region displayed west-region-heavy CETR events. El Niño events in the previous period (December, January, February, March (DJFM)) are major extra-forcing factors of middle-region-heavy CETR events, which is beneficial for the continuous, anomalous Philippine Sea anticyclone and strengthens the West Pacific Subtropical High (WPSH), extending it more westward than normal. The primary water vapor source for precipitation in middle-region-heavy CETR events is the Tropical Western Pacific Ocean. The major extra-forcing factor of a west-region-heavy CETR is the negative anomaly in the southern Tropical Indian Ocean (TIO) during the previous period (DJFM). This factor is beneficial for strengthening the cross-equatorial flow and westerly winds from the Bay of Bengal to the South China Sea (SCS) and early SCS summer monsoon onset. The primary water vapor source of precipitation in the west-region-heavy CETR is the southern TIO.



This research was jointly supported by The National Natural Science Foundation of China (Grant Nos. 41375078, 41530531, 41305059, 41305100) and the National Science and Technology Support program under Grant No. 2015BAC03B06.


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Copyright information

© Springer-Verlag Wien 2016

Authors and Affiliations

  • Qu-cheng Chu
    • 1
    • 2
  • Qi-guang Wang
    • 3
  • Shao-bo Qiao
    • 1
  • Guo-lin Feng
    • 1
    • 2
    Email author
  1. 1.Physical Science and Technology College of Yangzhou UniversityYangzhouChina
  2. 2.National Climate Center, CMABeijingChina
  3. 3.China Meteorological Administration Training CenterBeijingChina

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