Monitoring Heavy Rainfall Events in East Asia Using High-Resolution Isotopic Observations

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2024-11-12 DOI:10.1029/2024JD041783
Tao Xu, Hongxi Pang, Shuangye Wu, Huiwen Guo, Wangbin Zhang, Shugui Hou
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Abstract

It is important to understand the mechanisms of heavy rainfall events, as such information could improve forecasting of these events and help mitigate their adverse impacts on life and property. In this study, we analyzed hourly stable isotopic compositions in water vapor (δ18Ov and d-excessv) during heavy rainfall events in the summer monsoon season (June to September) from 2013 to 2023 in Nanjing, eastern China. These data were extracted from the longest data set of high-resolution and continuous in situ observations of water vapor isotopes globally. Based on these data, we identified four evolution patterns of δ18Ov during heavy rainfall events, corresponding to different weather systems: slow-declining (tropical cyclone interacting with mid- and high-latitude system), W-shaped (tropical cyclone), U-shaped (cold vortex system), and inclined L-shaped (upper-level trough system). The isotopic variations suggest that heavy rainfall events in eastern China were mainly sustained by moisture from adjacent oceans (including the South China Sea and the East China Sea) and terrestrial environment rather than from the distant Indian Ocean as previously suggested. In addition, for some heavy rainfall events with an intermittent period, the nearby oceanic moisture transport alters before and after the intermittent period due to an intensity change or overall transition of low-level weather systems. This study serves as a benchmark for tracing heavy rainfall processes in East Asia using high-resolution water vapor isotopes.

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利用高分辨率同位素观测监测东亚暴雨事件
了解强降雨事件的机理非常重要,因为这些信息可以改善对这些事件的预测,并有助于减轻其对生命和财产的不利影响。在这项研究中,我们分析了 2013 年至 2023 年中国东部南京夏季季风季节(6 月至 9 月)暴雨事件期间每小时水汽中的稳定同位素组成(δ18Ov 和 d-excessv)。这些数据是从全球最长的水汽同位素高分辨率连续原位观测数据集中提取的。根据这些数据,我们确定了暴雨过程中δ18Ov的四种演变模式,分别对应于不同的天气系统:缓慢下降型(热带气旋与中高纬系统相互作用)、W型(热带气旋)、U型(冷涡系统)和倾斜L型(高层槽系统)。同位素变化表明,中国东部的强降雨事件主要由邻近海洋(包括南海和东海)和陆地环境的水汽维持,而不是像以前认为的那样来自遥远的印度洋。此外,对于一些间歇期的强降雨事件,由于强度变化或低空天气系统的整体转换,间歇期前后附近海洋水汽输送发生了变化。这项研究是利用高分辨率水汽同位素追踪东亚暴雨过程的基准。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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