热力学上不一致的极端降水灵敏度跨越大陆是由云辐射效应驱动的
Sarosh Alam Ghausi1,2,3, Erwin Zehe4, Subimal Ghosh5,6
1Biospheric Theory and Modelling Group, Max Planck Institute for Biogeochemistry, Jena, Germany. sghausi@bgc-jena.mpg.de.
Nature communications
|December 11, 2024
概括
全球变暖加剧了极端降雨,但云效应掩盖了这一趋势. 新的分析揭示了整个大陆的极端降水温度敏感性,与气候预测保持一致.
科学领域:
- 气候科学 气候科学
- 大气物理学 大气物理学
- 水文学的水文学
背景情况:
- 全球变暖预计将增加极端降水事件的强度.
- 基于观察的极端降水-温度 (EP-T) 灵敏度估计显示出显著的空间和时间变化.
- 在温暖的地区经常观察到负的EP-T灵敏度,这与理论预期相矛盾.
研究的目的:
- 调查EP-T灵敏度观察到的变化背后的原因.
- 识别和消除影响EP-T灵敏度估计的混因素.
- 为了更准确地评估极端降水如何与温度加剧.
主要方法:
- 使用热力学约束的表面能量平衡模型.
- 从观测数据中量化和删除混云辐射效应.
- 分析了不同度带 (热带,中度) 的EP-T灵敏度.
主要成果:
- 云的辐射效应被确定为一个重要的混因素,引入降雨和温度之间的人工共变.
- 在消除了云效应后,在整个大陆地区发现了积极的EP-T灵敏度.
- 平均EP-T灵敏度从负值转变为正值,特别是在热带地区 (从-4.9%/°C到6.1%/°C).
- 估计灵敏度的区域变异性大幅下降 (热带地区超过40%,中度地区30%).
结论:
- 随着全球气温的上升,极端降雨的预计加剧与当考虑混云辐射效应时的观测数据相一致.
- 这项研究将观察估计与EP-T关系的理论预测相协调.
- 准确评估EP-T的敏感性对于理解和预测未来的洪水风险和生态系统影响至关重要.
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