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arXiv 2407.04740physics.ao-phmath.DSphysics.data-anphysics.flu-dyn
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大西洋经向翻转环流的恢复力

Resilience of the Atlantic Meridional Overturning Circulation

Valérian Jacques-Dumas, Henk A. Dijkstra, Christian Kuehn

AI总结:

本文提出基于稀有事件技术的概率性恢复力度量,用于评估多稳态下AMOC抵抗变化与恢复的能力,并扩展至计算外部强迫下AMOC转变的条件概率,从而定义条件安全运行空间。

摘要:

鉴于有诸多迹象表明大西洋经向翻转环流(AMOC)这一动力系统处于多稳态状态,我们着手研究其恢复力问题。本文提出了一种基于稀有事件技术的新颖恢复力方法,该方法能够以概率方式度量“抵抗变化的能力”和“恢复的能力”两个方面。将该度量应用于一个概念模型,不仅证明了其适用于评估AMOC的恢复力,还展示了其在许多其他非自治动力系统中的潜在用途。随后,该框架被扩展用于计算在外部强迫条件下AMOC发生转变的概率。这种条件概率可以通过利用计算该系统恢复力时所获得的信息来估计。这使我们能够通过将条件安全运行空间定义为所施加(可能是瞬态的)强迫的参数空间的一个子集,从而提供关于安全运行空间的概率性视角。

英文摘要:

We address the issue of resilience of the Atlantic Meridional Overturning Circulation (AMOC) given the many indications that this dynamical system is in a multi-stable regime. A novel approach to resilience based on rare event techniques is presented which leads to a measure capturing `resistance to change` and `ability to return' aspects in a probabilistic way. The application of this measure to a conceptual model demonstrates its suitability for assessing AMOC resilience but also shows its potential use in many other non-autonomous dynamical systems. This framework is then extended to compute the probability that the AMOC undergoes a transition conditioned on an external forcing. Such conditional probability can be estimated by exploiting the information available when computing the resilience of this system. This allows us to provide a probabilistic view on safe operating spaces by defining a conditional safe operating space as a subset of the parameter space of the (possibly transient) imposed forcing.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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