Multi-scale cyclone activity in the Changjiang River–Huaihe River valleys during spring and its relationship with rainfall anomalies
Autor: | Yujing Qin, Chuhan Lu, Liping Li |
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Rok vydání: | 2017 |
Předmět: |
Atmospheric Science
geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences Meteorology 010502 geochemistry & geophysics 01 natural sciences Climatology Synoptic scale meteorology Spring (hydrology) Environmental science Cyclone Activity intensity Scale (map) Tropical cyclone rainfall forecasting Changjiang river 0105 earth and related environmental sciences Central dense overcast |
Zdroj: | Advances in Atmospheric Sciences. 34:246-257 |
ISSN: | 1861-9533 0256-1530 |
DOI: | 10.1007/s00376-016-6042-x |
Popis: | 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. |
Databáze: | OpenAIRE |
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