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在气候变暖下,中国极端降雪加剧的趋势和因果驱动因素
Weiping Wang1, Yan Qin1, Qiudong Zhao2
1College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi, 830017, China; Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, 830017, China.
Environmental research
|December 9, 2025
概括
全球变暖正在改变中国的降雪模式,导致更强烈但更少频繁的极端降雪事件. 了解这些变化对于气候适应战略至关重要.
科学领域:
- 气候科学 气候科学
- 大气科学 大气科学
- 环境科学 环境科学
背景情况:
- 全球变暖在理解极端天气事件方面带来了挑战.
- 降雪模式是气候变化影响的关键指标.
- 准确的降水阶段分类对于气候研究至关重要.
研究的目的:
- 研究1961年至2020年中国降雪的时空空间趋势.
- 确定影响降雪的大气驱动因素和热力学机制.
- 分析大气循环对极端降雪事件的因果影响.
主要方法:
- 使用丁的湿球温度方法对降水阶段进行分类.
- 对于大气循环影响的因果推理的T-Learner元学习方法.
- 对温度依赖性进行克劳西乌斯-克劳佩龙 (CC) 关系的分析.
主要成果:
- 丁的方法准确地分类了具有地理差异的降水阶段.
- 中国经历了矛盾的降雪趋势:总降雪量增加,降雪日数减少,极端事件加剧.
- PNA,PDO和AMO等大气循环模式显示出对极端降雪的特定区域因果影响.
- 在0°C以下观察到Sub-Clausius-Clapeyron缩放,在0°C以上出现急剧下降.
结论:
- 丁的方法是中国降水阶段分类的强大工具.
- 极端降雪事件正在加剧,尽管降雪日数有所减少.
- 大气循环在极端降雪中起着复杂的,区域依赖的作用.
- 降雪的强度在不同气候区之间表现出明显的温度依赖.
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