Hou Ruiqin, Zhang Wenjun, Hu Suqiong, Xu Rongrong
CIC-FEMD/KLME, State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Nicholas School of the Environment, Duke University, Durham, NC 27708, USA.
Natl Sci Rev. 2025 Jul 23;12(10):nwaf298. doi: 10.1093/nsr/nwaf298. eCollection 2025 Oct.
In 2024, southern China faced its worst flooding during the pre-flood season (April-June), the first major rainfall season in East Asia, with considerable socioeconomic consequences. This extreme flooding is fueled by the unprecedented warming in the Indian Ocean, with a decaying moderate El Niño in the Pacific contributing weakly. Alarmingly, similar pre-flood season flooding events have become increasingly frequent in southern China over recent decades, posing unexpected risks to local communities. We demonstrate that the recent rapid Indian Ocean warming enhances local convection efficiency, leading to more frequent intense pre-flood season rainfall. As sea surface temperature in the Indian Ocean continues to rise in a warming world, it becomes increasingly crucial to understand its role in shaping regional extreme weather patterns for future climate adaptation and disaster management.
2024年,中国南方在洪水季前(4月至6月)遭遇了最严重的洪水,这是东亚的首个主要降雨季节,造成了相当大的社会经济后果。这种极端洪水是由印度洋前所未有的变暖引发的,太平洋上逐渐减弱的中等强度厄尔尼诺现象起到的作用较小。令人担忧的是,近几十年来,中国南方类似的洪水季前洪水事件越来越频繁,给当地社区带来了意想不到的风险。我们证明,近期印度洋的快速变暖提高了当地的对流效率,导致洪水季前更频繁地出现强降雨。在气候变暖的世界中,随着印度洋海面温度持续上升,了解其在塑造区域极端天气模式方面的作用对于未来的气候适应和灾害管理变得越来越重要。