| PATTERNS OF CYCLONE ACTIVITY INFLUENCING CHANGJIANG RIVER-HUAIHE RIVER VALLEYS IN SPRING REVEALED USING THE CYCLONE AREA ALGORITHM |
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| 作者姓名： | 秦育婧 胡 叶 卢楚翰 |
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| 摘 要： | Due to the topography and local nonuniform distribution of heating, extratropical cyclones in the lower troposphere usually have complex shapes and structures, and there remain some uncertainties in identifying them. Using a modified cyclone area automatic objective recognition algorithm for cyclones, we investigated the patterns of spring cyclone activities affecting Changjiang River-Huaihe River valleys (CHV) of China during the previous 37 years. The results indicated that the algorithm performs well in reproducing the cyclogenesis, movement, and cyclolysis of cyclones in CHV. Three new perspectives were noted. (1) Most influential cyclones have relatively short travel distances and lifetimes, they are typically excluded when conducting synoptic-scale cyclone tracking. (2) The cyclogenesis location of influential cyclones in spring displays multi-source characteristics. In particular, the influential cyclones originated in northern China account for 43% with more marked mobility compared to the locally generated cyclones, although most of their centers do not enter CHV. (3) Multi-center cyclones appear mainly in Da Hinggan Mountains which is on the east side of the Mongolian Plateau and over the East China Sea. These cyclones are relatively large in horizontal scale and have relatively long lifetimes.
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| 关 键 词： | extratropical cyclone multi-scale CHV regional climate automatic recognition algorithm |
| 修稿时间： | 2019/8/6 0:00:00 |
PATTERNS OF CYCLONE ACTIVITY INFLUENCING CHANGJIANG RIVER-HUAIHE RIVER VALLEYS IN SPRING REVEALED USING THE CYCLONE AREA ALGORITHM |
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| QIN Yu-jing,HU Ye and LU Chuhan.PATTERNS OF CYCLONE ACTIVITY INFLUENCING CHANGJIANG RIVER-HUAIHE RIVER VALLEYS IN SPRING REVEALED USING THE CYCLONE AREA ALGORITHM[J].Journal of Tropical Meteorology,2019,25(4):483-497. |
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| Authors: | QIN Yu-jing HU Ye and LU Chuhan |
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| Institution: | ;1.Key Laboratory of Meteorological Disaster;2. Ministry of Education/ Joint International Research Laboratory of Climate and Environment Change/ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters;3.Nanjing University of Information Science and Technology |
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| Abstract: | Due to the topography and local nonuniform distribution of heating, extratropical cyclones in the lower troposphere usually have complex shapes and structures, and there remain some uncertainties in identifying them. Using a modified cyclone area automatic objective recognition algorithm for cyclones, we investigated the patterns of spring cyclone activities affecting Changjiang River-Huaihe River valleys(CHV) of China during the previous 37 years. The results indicated that the algorithm performs well in reproducing the cyclogenesis, movement, and cyclolysis of cyclones in CHV. Three new perspectives were found.(1) Most influential cyclones have relatively short travel distances and lifetimes, and they are typically excluded when conducting synoptic-scale cyclone tracking.(2) The cyclogenesis location of influential cyclones in spring displays multi-source characteristics. In particular, the influential cyclones originated in northern China account for 43% with more marked mobility compared to the locally generated cyclones,although most of their centers do not enter CHV.(3) Multi-center cyclones appear mainly in Da Xingan Mountains which is on the east side of the Mongolian Plateau and over the East China Sea. These cyclones are relatively large in horizontal scale and have relatively long lifetimes. |
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| Keywords: | extratropical cyclone multi-scale CHV regional climate automatic recognition algorithm |
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