Multi-scale Cyclone Activity in the Changjiang River-Huaihe River Valleys during Spring and Its Relationship with Rainfall Anomalies

Based on the recognition framework of the outermost closed contours of cyclones, an automated identification algorithm capable of identifying the multi-scale cyclones that occur during spring in the Changjiang River-Huaihe River valleys （CHV） were developed. We studied the characteristics of the mul...

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Bibliographic Details
Published in:Advances in atmospheric sciences 2017-02, Vol.34 (2), p.246-257
Main Authors: Qin, Yujing, Lu, Chuhan, Li, Liping
Format: Article
Language:English
Subjects:
Algorithms
Atmospheric Sciences
Cyclones
Earth and Environmental Science
Earth Sciences
Freshwater
Geophysics/Geodesy
Meteorology
Original Paper
Rain
多尺度
次天气尺度
气旋活动
河谷
淮河流域
自动识别算法
长江
降水异常
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Summary:Based on the recognition framework of the outermost closed contours of cyclones, an automated identification algorithm capable of identifying the multi-scale cyclones that occur during spring in the Changjiang River-Huaihe River valleys （CHV） were developed. We studied the characteristics of the multi-scale cyclone activity that affects CHV and its relationship with rainfall during spring since 1979. The results indicated that the automated identification algorithm for cyclones proposed in this paper could intuitively identify multi-scale cyclones that affect CHV. The algorithm allows for effectively describing the shape and coverage area of the closed contours around the periphery of cyclones. We found that, compared to the meso- and sub-synoptic scale cyclone activities, the synoptic-scale cyclone activity showed more intimate correlation with the overall activity intensity of multi-scale CHV cyclones during spring. However, the frequency of occurrence of sub-synoptic scale cyclones was the highest, and their effect on changes in CHV cyclone activity could not be ignored. Based on the area of impact and the depth of the cyclones, the sub-synoptic scale, synoptic scale and comprehensive cyclone intensity indices were further defined, which showed a positive correlation with rainfall in CHV during spring. Additionally, the comprehensive cyclone intensity index was a good indicator of strong rainfall events.
ISSN:0256-1530
1861-9533
DOI:10.1007/s00376-016-6042-x