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未来极端厄尔尼诺现象的增加受到过去冰川变化的支持

Kaustubh Thirumalai¹, Pedro N DiNezio², Judson W Partin³

¹Department of Geosciences, University of Arizona, Tucson, AZ, USA. kaustubh@arizona.edu.

|September 25, 2024

概括

极端的厄尔尼诺现象可能会随着温室气体变暖而变得更加频繁. 数字模拟揭示了一个与过去气候数据一致的机制,预测由于较浅的混合层和较弱的沃克循环而导致极端厄尔尼诺的产生.

科学领域:

气候科学
古气候学
海洋学

背景情况:

厄尔尼诺-南方振荡 (ENSO) 事件显著影响全球气候变化.
由于模型的不确定性,预测ENSO极端事件的未来变化仍然具有挑战性.
古气候记录提供了对过去ENSO动态的洞察力,但它们对限制未来预测的有用性是有争议的.

研究的目的:

在不同气候状态中发现和验证推动厄尔尼诺-南方振荡 (ENSO) 变化的机制.
评估未来温室气体变暖情景下更极端的厄尔尼诺现象的可能性.
将数字模拟与古气候数据进行协调,以改善ENSO预测.

主要方法:

使用数值模拟来模拟过去和未来气候强迫下的ENSO动态.
与热带太平洋古海洋记录相对应的验证模拟结果,包括新的中赤道太平洋数据.
分析了导致极端厄尔尼诺现象的海洋与大气相互作用.

主要成果:

确定了一种连接ENSO变化与海洋混合层深度和沃克循环强度的一致机制.
模拟显示在冰川条件下合相互作用减弱和ENSO变异性降低 (混合层更深,沃克循环更强).
模型数据协议支持在未来变暖下极端厄尔尼诺现象增加的预测 (较浅的混合层,较弱的沃克循环).

结论:

这项研究提供了一个可用于过去,现在和未来气候的ENSO变异性验证机制.
结果表明极端厄尔尼诺现象的频率可能在温室气体变暖下显著增加.
这项研究为改善ENSO行为的气候模型预测提供了一个强大的框架.

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