Zhang Qinghong, Li Rumeng, Li Wenhong, Li Xiaofei, Ng Chan-Pang, Zhang Shiyi, Zhao Chuanfeng
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China.
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Nat Commun. 2025 Sep 2;16(1):8000. doi: 10.1038/s41467-025-63028-7.
Understanding how hailstorm trends have changed in the context of climate change is a persistent challenge, mainly because of the lack of long-term consistent observations of hailstorms. Here, we leverage hail damage records from Chinese historical books and extend hailstorm records to approximately 2890 years ago, exploring variations in the number of hailstorm days between 1500 and 1949 based on reliable and consistent data. We show that the number of hailstorm days was constant before 1850, but has increased significantly afterwards. This increase in hailstorm days seems to be associated with the increase in surface temperature after the population effect is removed. In addition to the trend, hailstorm activity is found to display both quasicentennial and multidecadal variability, with the former (later) dominating before (after) the 1850s, driven by the Pacific Decadal Oscillation (PDO). These results suggest that long-term changes in hailstorm days in China are modulated by climate warming and natural variability, via the PDO. Future projections based on different climate change scenarios and a convolutional neural network model show a further increase in the number of hailstorm days in the 21 century.
了解冰雹趋势在气候变化背景下如何变化是一项长期挑战,主要原因是缺乏对冰雹的长期连贯观测。在此,我们利用中国历史书籍中的冰雹灾害记录,将冰雹记录追溯到约2890年前,基于可靠且连贯的数据探索1500年至1949年间冰雹日数的变化。我们发现,1850年之前冰雹日数保持稳定,但此后显著增加。去除人口效应后,冰雹日数的增加似乎与地表温度的升高有关。除了趋势之外,还发现冰雹活动呈现准百年和多年代际变化,在19世纪50年代之前(之后)前者(后者)占主导,由太平洋年代际振荡(PDO)驱动。这些结果表明,中国冰雹日数的长期变化受气候变暖和自然变率通过PDO的调节。基于不同气候变化情景和卷积神经网络模型的未来预测显示,21世纪冰雹日数将进一步增加。