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Predictability of flow is examined in a barotropic vorticity model that admits low frequency regime transitions between zonal and dipolar states. Such transitions in the model were first studied by Bouchet and Simonnet (2009) and are…

混沌动力学 · 物理学 2016-05-20 B. T. Nadiga , T. J. O'Kane

When complex systems are driven to extinction by some external factor, their non-stationary dynamics can present an intermittent behaviour between relative tranquility and burst of activity whose consequences are often catastrophic. To…

物理与社会 · 物理学 2018-03-21 Juan V Escobar , Isaac Pérez Castillo

Many systems across the sciences evolve through a combination of multiplicative growth and diffusive transport. In the presence of disorder, these systems tend to form localized structures which alternate between long periods of relative…

统计力学 · 物理学 2022-12-19 Matteo Smerlak

On the basis of a lattice gas model and the convolution formula with cell construction scheme, we demonstrate that intermittency in the rapidity-space with respect to the scaled moments comes from a phase transition between ordered phase…

高能物理 - 唯象学 · 物理学 2007-05-23 E. R. Nakamura , K. Kudo , T. Hashimoto , I. Yoneda

The transitional regime of plane channel flow is investigated {above} the transitional point below which turbulence is not sustained, using direct numerical simulation in large domains. Statistics of laminar-turbulent spatio-temporal…

流体动力学 · 物理学 2020-09-16 Pavan V. Kashyap , Yohann Duguet , Olivier Dauchot

In pipe, channel and boundary layer flows turbulence first occurs intermittently in space and time: at moderate Reynolds numbers domains of disordered turbulent motion are separated by quiescent laminar regions. Based on direct numerical…

流体动力学 · 物理学 2014-10-21 Marc Avila , Björn Hof

Critical transitions occur in a variety of dynamical systems. Here, we employ quantifiers of chaos to identify changes in the dynamical structure of complex systems preceding critical transitions. As suitable indicator variables for…

混沌动力学 · 物理学 2017-09-27 Nahal Sharafi , Marc Timme , Sarah Hallerberg

One form of long-term behavior revealed by opinion dynamics simulations is intermittency, where an individual cycles between eras of stable, constant beliefs and turbulent, fluctuating beliefs, for example when inferring the political bias…

物理与社会 · 物理学 2023-08-01 Nicholas Kah Yean Low , Andrew Melatos

A single-column model is used to investigate regime transitions within the stable atmospheric boundary layer, focusing on the role of small-scale fluctuations in wind and temperature dynamics and of turbulence intermittency as triggers for…

大气与海洋物理 · 物理学 2024-08-13 Amandine Kaiser , Nikki Vercauteren , Sebastian Krumscheid

Many natural systems undergo critical transitions, i.e. sudden shifts from one dynamical regime to another. In the climate system, the atmospheric boundary layer can experience sudden transitions between fully turbulent states and…

大气与海洋物理 · 物理学 2020-08-26 Amandine Kaiser , Davide Faranda , Sebastian Krumscheid , Danijel Belušić , Nikki Vercauteren

The realization that complex systems such as ecological communities can collapse or shift regimes suddenly and without rapid external forcing poses a serious challenge to our understanding and management of the natural world. The potential…

种群与进化 · 定量生物学 2013-05-30 Carl Boettiger , Noam Ross , Alan Hastings

In natural settings, intermittent dynamics are ubiquitous and often arise from a coupling between external driving and spatial heterogeneities. A well-known example is the generation of transient, turbulent puffs of fluid through a pipe…

适应与自组织系统 · 物理学 2020-07-01 Guram Gogia , Wentao Yu , Justin C. Burton

Our current world is linked by a complex mesh of networks where information, people and goods flow. These networks are interdependent each other, and present structural and dynamical features different from those observed in isolated…

物理与社会 · 物理学 2013-11-13 Filippo Radicchi , Alex Arenas

We construct a one-dimensional piecewise linear intermittent map from the interevent time distribution for a given renewal process. Then, we characterize intermittency by the asymptotic behavior near the indifferent fixed point in the…

混沌动力学 · 物理学 2015-05-13 Takuma Akimoto , Tomohiro Hasumi , Yoji Aizawa

In type I intermittency, simple models known for at least twenty years show that a characteristic u-shaped probability distribution is obtained for the laminar phase length. We have shown elsewhere that, for some cases of pathology, the…

混沌动力学 · 物理学 2007-05-23 J. J. Zebrowski , R. Baranowski

Turbulence is known to show intermittency. That is, statistical properties vary with the length scale in a way not accounted for by statistical similarity where dimensionless ratios of moments are constant. Intermittency occurs even in the…

流体动力学 · 物理学 2007-05-23 Mogens V. Melander , Bruce R. Fabijonas

We explore a stochastic model that enables capturing external influences in two specific ways. The model allows for the expression of uncertainty in the parametrisation of the stochastic dynamics and incorporates patterns to account for…

证券定价 · 定量金融 2024-04-11 Felix L. Wolf , Griselda Deelstra , Lech A. Grzelak

The predictability of weather and climate is strongly state-dependent: special and extremely relevant atmospheric states like blockings are associated with anomalous instability. Indeed, typically, the instability of a chaotic dynamical…

混沌动力学 · 物理学 2024-12-24 Chiara Cecilia Maiocchi , Valerio Lucarini , Andrey Gritsun , Yuzuru Sato

Plasma turbulence is a key challenge in understanding transport phenomena in magnetically confined plasmas. This work presents a novel approach using periodic orbit theory to analyze plasma turbulence, identifying fundamental structures…

等离子体物理 · 物理学 2025-09-12 Sidney D. V. Williams , Matthew N. Gudorf , Dmitri M. Orlov

Oftentimes in practice, the observed process changes statistical properties at an unknown point in time and the duration of a change is substantially finite, in which case one says that the change is intermittent or transient. We provide an…

应用统计 · 统计学 2023-04-11 Grigory Sokolov , Valentin S. Spivak , Alexander G. Tartakovsky
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