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Classification of persistent heavy rainfall events over South China and associated moisture source analysis

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Abstract

Persistent heavy rainfall events (PHREs) over South China during 1981–2014 were selected and classified by an objective method, based on the daily precipitation data at 752 stations in China. The circulation characteristics, as well as the dry-cold air and moisture sources of each type of PHREs were examined. The main results are as follows. A total of 32 non-typhoon influenced PHREs in South China were identified over the study period. By correlation analysis, the PHREs are divided into three types: SC-A type, with its main rainbelt located in the coastal areas and the northeast of Guangdong Province; SC-B type, with its main rainbelt between Guangdong Province and Guangxi Region; and SC-C type, with its main rainbelt located in the north of Guangxi Region. For the SC-A events, dry-cold air flew to South China under the steering effect of troughs in the middle troposphere which originated from the Ural Mountains and West Siberia Plain; whereas, the SC-C events were not influenced by the cold air from high latitudes. There were three water vapor pathways from low-latitude areas for both the SC-A and SC-C PHREs. The tropical Indian Ocean was the main water vapor source for these two PHRE types, while the South China Sea also contributed to the SC-C PHREs. In addition, the SC-A events were also influenced by moist and cold air originating from the Yellow Sea. Generally, the SC-C PHREs belonged to a warm-sector rainfall type, whose precipitation areas were dominated by southwesterly wind, and the convergence in wind speed was the main reason for precipitation.

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Correspondence to Jianhua Sun  (孙建华).

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Supported by the National (Key) Basic Research and Development (973) Program of China (2012CB417201) and National Natural Science Foundation of China (41375053).

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Liu, R., Sun, J., Wei, J. et al. Classification of persistent heavy rainfall events over South China and associated moisture source analysis. J Meteorol Res 30, 678–693 (2016). https://doi.org/10.1007/s13351-016-6042-x

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  • DOI: https://doi.org/10.1007/s13351-016-6042-x

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