Climate impacts and future trends of hailstorms in China based on millennial records

IF 15.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Qinghong Zhang, Rumeng Li, Wenhong Li, Xiaofei Li, Chan-Pang Ng, Shiyi Zhang, Chuanfeng Zhao
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Abstract

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 21st century.

Abstract Image

基于千年记录的中国冰雹气候影响及未来趋势
了解冰雹趋势在气候变化背景下如何变化是一项持续的挑战,主要是因为缺乏对冰雹的长期一致观测。本文利用中国史书中的冰雹灾害记录,并将冰雹记录扩展到大约2890年前,基于可靠和一致的数据,探讨了1500年至1949年间冰雹日数的变化。结果表明,1850年以前雹暴日数基本不变,1850年以后雹暴日数显著增加。冰雹日数的增加似乎与消除种群效应后地表温度的增加有关。除趋势外,冰雹活动还显示准百年和多年代际变化,在19世纪50年代之前(之后)由太平洋年代际涛动(PDO)驱动,前者(后)占主导地位。这些结果表明,中国冰雹日数的长期变化通过PDO受到气候变暖和自然变率的调节。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。
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
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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