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展开北美春天的极端天气沿着一个天平梯子展开
Jaeyoung Hwang1, Zhenyu You2, Yi Deng3
1School of Earth and Atmospheric Sciences, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332‑0340, USA. jhwang362@gatech.edu.
Scientific reports
|November 5, 2025
概括
北美春季的极端天气与季后变化模式有关. 这些模式影响极端事件频率并显示十年变化,为可预测性提供了洞察力.
科学领域:
- 大气科学 大气科学
- 气候动力学 气候动力学
- 气象学 天气学
背景情况:
- 北美春季的极端天气会对社会经济产生重大影响.
- 了解季后和较长时间尺度上的变化仍然有限.
研究的目的:
- 用"规模梯子"方法研究春季极端天气的多层次动态.
- 在北美,将极端与季后变化的规范模式连接起来.
主要方法:
- 分析四个主要的季后变化模式,其特点是地理潜力异常和罗斯比波包.
- 检查四十年来这些模式的十年级变化.
主要成果:
- 季后模式显著调节潮湿,干燥和风极端的发生频率 (多达两倍的变化).
- 这些模式的明显的"活跃"和"沉默"时期导致极端事件的十年级变化.
结论:
- 为了了解春季极端的长期变化,一个多层次的视角至关重要.
- 已识别的模式为各种时间尺度提供了潜在的可预测性来源.
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