On the interaction of stochastic forcing and regime dynamics

IF 2.4 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Nonlinear Processes in Geophysics Pub Date : 2023-02-07 DOI:10.5194/npg-30-49-2023
J. Dorrington, T. Palmer
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引用次数: 4

Abstract

Abstract. Stochastic forcing can, sometimes, stabilise atmospheric regime dynamics, increasing their persistence. This counter-intuitive effect has been observed in geophysical models of varying complexity, and here we investigate the mechanisms underlying stochastic regime dynamics in a conceptual model. We use a six-mode truncation of a barotropic β-plane model, featuring transitions between analogues of zonal and blocked flow conditions, and identify mechanisms similar to those seen previously in work on low-dimensional random maps. Namely, we show that a geometric mechanism, here relating to monotonic instability growth, allows for asymmetric action of symmetric perturbations on regime lifetime and that random scattering can “trap” the flow in more stable regions of phase space. We comment on the implications for understanding more complex atmospheric systems.
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随机强迫与状态动力学的相互作用
摘要随机强迫有时可以稳定大气状态动力学,增加其持久性。这种反直觉效应已经在不同复杂性的地球物理模型中观察到,在这里,我们研究了概念模型中随机状态动力学的机制。我们使用了正压β平面模型的六模截断,该模型具有在类似的纬向和阻塞流动条件之间的转换,并确定了类似于先前在低维随机图上看到的机制。也就是说,我们证明了与单调不稳定增长有关的几何机制,允许对称扰动对状态寿命的不对称作用,并且随机散射可以在相空间的更稳定区域“捕获”流动。我们评论了对理解更复杂的大气系统的影响。
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来源期刊
Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics 地学-地球化学与地球物理
CiteScore
4.00
自引率
0.00%
发文量
21
审稿时长
6-12 weeks
期刊介绍: Nonlinear Processes in Geophysics (NPG) is an international, inter-/trans-disciplinary, non-profit journal devoted to breaking the deadlocks often faced by standard approaches in Earth and space sciences. It therefore solicits disruptive and innovative concepts and methodologies, as well as original applications of these to address the ubiquitous complexity in geoscience systems, and in interacting social and biological systems. Such systems are nonlinear, with responses strongly non-proportional to perturbations, and show an associated extreme variability across scales.
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