Interannual variability of moisture sources and isotopic composition of Meiyu-Baiu rainfall in southwestern Japan: Importance of Asian monsoon moisture for extreme rainfall events

IF 6.1 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Xiaoyang Li , Ryuichi Kawamura , Kimpei Ichiyanagi , Kei Yoshimura
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引用次数: 0

Abstract

The interannual variability of Meiyu-Baiu rainfall has amplified in recent decades. Observational and modeling efforts have revealed large-scale circulations could affect variability of Meiyu-Baiu rainfall by altering moisture sources and transport mechanisms. However, the contributions and thermodynamic processes of major moisture sources, along with their interannual variability, remain unclear. To better understand the underlying atmospheric processes responsible for interannual variability of Meiy-Baiu rainfall, we utilized an isotopic regional spectral model to investigate the moisture sources and isotopic composition of Meiyu-Baiu rainfall in southwestern Japan from 2004 to 2023. Asian Monsoon (AM) moisture in middle levels contributed more (51.4%) rainfall with lower δ2H and higher d-excess in heavy Meiyu-Baiu seasons. Extreme rainfall events showed lower δ2H and higher d-excess with more contribution (57.8%) from AM moisture at middle levels with high precipitation efficiency. Enhanced warm AM moisture feeds the condensation process and enhances atmospheric instability in the middle levels. This facilitates deep convection, leading to more extreme rainfall during heavy seasons. Compared with Eulerian moisture tagging method, Lagrangian backward trajectory method underestimated contribution of AM moisture, due to higher precipitation efficiency at higher altitudes, resulting from stronger convection and ascent accompanied with more precipitation and rainout in the upstream AM regions. The study highlights importance of AM moisture for extreme Meiyu-Baiu rainfall in East Asia. The findings providing valuable insights into understanding the interannual variability of water cycle in East Asia, as well as to improving seasonal forecasts and near-future predictions of Meiyu-Baiu rainfall.
日本西南部梅雨-白雨降水的水汽来源和同位素组成的年际变化:亚洲季风水汽对极端降雨事件的重要性
近几十年来,梅雨-白湖降水年际变率有所增大。观测和模拟结果表明,大尺度环流可以通过改变水汽来源和输送机制来影响梅雨-白降水的变率。然而,主要水汽源的贡献和热力过程及其年际变率仍不清楚。为了更好地了解造成梅-白降水年际变化的潜在大气过程,我们利用同位素区域谱模式研究了2004 - 2023年日本西南部梅-白降水的水分来源和同位素组成。在梅雨白雨强季节,亚洲季风(AM)中层水汽对降水的贡献最大(51.4%),δ2H较低,d-excess较高。极端降水事件δ2H较低,d-excess较高,降水效率较高的中层AM水分贡献较大(57.8%)。增强的暖AM水分为凝结过程提供了动力,并增强了中层大气的不稳定性。这促进了深层对流,导致在多雨季节出现更多极端降雨。与欧拉水汽标记法相比,拉格朗日反轨迹法低估了AM水汽的贡献,这是因为AM上游地区对流和上升更强,降水和降雨更多,在高海拔地区降水效率更高。该研究强调了AM湿度对东亚梅雨-白雨极端降雨的重要性。这些发现为理解东亚水循环的年际变化提供了宝贵的见解,并为改善梅雨-白降水的季节预报和近未来预测提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Weather and Climate Extremes
Weather and Climate Extremes Earth and Planetary Sciences-Atmospheric Science
CiteScore
11.00
自引率
7.50%
发文量
102
审稿时长
33 weeks
期刊介绍: Weather and Climate Extremes Target Audience: Academics Decision makers International development agencies Non-governmental organizations (NGOs) Civil society Focus Areas: Research in weather and climate extremes Monitoring and early warning systems Assessment of vulnerability and impacts Developing and implementing intervention policies Effective risk management and adaptation practices Engagement of local communities in adopting coping strategies Information and communication strategies tailored to local and regional needs and circumstances
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