The Characteristic, Multiscale Dynamic Mechanisms and Impacts of Heavy Precipitation Events in the Yangtze River Valley

IF 3.2 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
International Journal of Climatology Pub Date : 2026-07-02 Epub Date: 2026-04-28 DOI:10.1002/joc.70406
Yu Gu, Hongjia Lei, Lingzhi Zhang, Qianrong Ma, Yang Li, Shanlei Sun, Pengcheng Yan, Yang Jiao
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Abstract

Heavy precipitation events (HPEs) in the Yangtze River Valley (YRV) pose persistent threats to population safety and infrastructure. This study classifies five population-weighted HPE types (P1–P5) and examines their underlying dynamics using multiscale window transform and canonical energy transfer framework. Each type links to distinct circulation patterns. During 1979–2020, P1 and P2 are associated with Meiyu front systems, with P1 producing stronger precipitation. P2 accounts for 68% of all events, resulting in the greatest population exposure. P3 is driven by landfalling typhoons and represents the second most frequent type. P4 arises from short-wave disturbances that primarily affect northern YRV, whereas P5 is concentrated in the western YRV and influenced by low-vortex systems. Multiscale energy diagnostics show that most HPEs draw energy from the transfer of available potential energy (APE) from background to synoptic circulations, which subsequently convert to kinetic energy (KE). This transfer dominates the maintenance of P1 and P2. In contrast, P3 cases rely more on KE cascades, reflecting their stronger dynamic forcing. P4 and P5 exhibit weaker exchanges and depend more on background circulations. Additionally, future climate projections indicate that warming will amplify convective instability and strengthen APE-to-KE conversions in P1 and P3, but weaken these transfers in P2, P4, and P5. As a result, the currently dominant P2 type is expected to decline, while P1 and P3 become more frequent. By 2100, the population exposed to these type events will increase by more than 20%, posing substantial risks to societal resilience and adaptation.

Abstract Image

长江流域强降水事件特征、多尺度动力机制及其影响
长江流域强降水事件(HPEs)对人口安全和基础设施构成持续威胁。本研究采用多尺度窗口变换和典型能量传递框架,对5种人口加权HPE类型(P1-P5)进行了分类,并对其潜在动态进行了研究。每种类型都与不同的循环模式有关。1979—2020年,P1和P2与梅雨锋系统有关,其中P1产生较强降水。P2占所有事件的68%,导致最大的人群暴露。P3台风由登陆台风驱动,是第二常见的台风类型。P4产生于短波扰动,主要影响YRV北部,而P5集中在YRV西部,受低涡系统影响。多尺度能量诊断表明,大多数高能气旋从背景向天气环流的有效势能(APE)转移中获取能量,后者随后转化为动能(KE)。这种转移支配着P1和P2的维护。P3情况更依赖KE级联,反映出KE级联的动力强迫更强。P4和P5表现出较弱的交换和对背景环流的依赖。此外,未来气候预估表明,变暖将放大P1和P3的对流不稳定性并加强APE-to-KE转换,但减弱P2、P4和P5的这些转换。因此,目前占主导地位的P2型预计将会减少,而P1和P3型将变得更加频繁。到2100年,面临这类事件的人口将增加20%以上,对社会的复原力和适应能力构成重大风险。
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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
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