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| Quantitative analysis of the coupling mechanism between upperlevel troughs and typhoon residual moisture and construction of forecast identification methods:a case study of the heavy rainfall event in Changbai County in 2025 |
| Yue Ning |
| Changbai County Meteorological Bureau of Baishan City,Baishan 134400 |
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Abstract Based on a heavy rainfall event in Changbai County in August 2025,this study utilizes automatic weather station data,reanalysis datasets,radiosonde observations,and radar products to diagnose the formation conditions of precipitation driven by the synergistic effects of an upperlevel trough and typhoon remnant moisture.The results indicate that the event occurred under the combined influence of the eastward and southward movement of the upperlevel trough and the northward transport of warm,moist air from typhoon remnants,with Changbai County situated in the overlapping region of pretrough ascent and lowlevel moisture convergence.Specifically,the sustained transport of warm and moist air by the 850 hPa lowlevel jet,the correspondence between 700 hPa convergence and upward motion,and the 500 hPa positive vorticity advection collectively provided favorable dynamic conditions for precipitation maintenance,while mountainous terrain significantly amplified moisture lifting and radar echo stagnation,serving as a crucial factor for the stationary rainband.Building upon this case diagnosis,the study proposes a coupled precipitation identification index and a hierarchical recognition framework based on key factors,including 850 hPa moisture flux,700 hPa moisture flux divergence,700 hPa vertical velocity,total precipitable water,and CAPE to provide operational forecasting references for similar weather processes.
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Received: 28 November 2025
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| Cite this article: |
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Yue Ning. Quantitative analysis of the coupling mechanism between upperlevel troughs and typhoon residual moisture and construction of forecast identification methods:a case study of the heavy rainfall event in Changbai County in 2025[J]. Meteorological Hydrological and Marine Instrument, 2026, 43(5): 90-93.
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| URL: |
| http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2026/V43/I5/90 |
| [1] |
冯德花,牛法宝,张蕾. 台风“山竹”和“天鸽”对云南降水天气影响分析[J]. 中低纬山地气象, 2021,45 (2):2834.
|
| [2] |
刘娟,马中元,廖满庭,等. “威马逊”台风外围飑线对铜鼓的影响[J]. 气象水文海洋仪器, 2023, 40 (4):5355,58.
|
| [3] |
杨超,徐洁玲. “温比亚”台风低压引起庐山大暴雨特征分析[J]. 气象水文海洋仪器, 2023, 40 (3):9092,109.
|
| [4] |
陆桂荣,崔广暑,于怀征,等. 台风“安比”造成日照地区大暴雨的成因分析[J]. 气象水文海洋仪器, 2022, 39 (3):3842.
|
| [5] |
林禹彤,简菊芳.“暴雨+台风”带来双重考验[N]. 中国气象报,20250730(3).
|
| [6] |
孙亮,李莹,赵冰,等. 2023年台风“杜苏芮”对东北地区暴雨影响的分析[J]. 农业灾害研究, 2024, 14 (6):202204.
|
| [7] |
杨旭,任航,尹路婷,等. 近20年冷涡背景下北上台风的分布及降水特征分析[J]. 气象灾害防御, 2024, 31 (2):16.
|
| [8] |
任丽. 变性台风“美莎克”结构演变特征及暴雨成因分析[J]. 暴雨灾害, 2023, 42 (5):521531.
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2026, Vol. 43 
