Critical slowing down in dynamical systems driven by nonstationary correlated noise
C Boettner, N Boers - Physical Review Research, 2022 - APS
Precursor signals for bifurcation-induced critical transitions have recently gained interest
across many research fields. Common indicators, including variance and autocorrelation …
across many research fields. Common indicators, including variance and autocorrelation …
Multifractality and network analysis of phase transition
Many models and real complex systems possess critical thresholds at which the systems
shift dramatically from one sate to another. The discovery of early-warnings in the vicinity of …
shift dramatically from one sate to another. The discovery of early-warnings in the vicinity of …
Resonances in a chaotic attractor crisis of the Lorenz flow
Local bifurcations of stationary points and limit cycles have successfully been characterized
in terms of the critical exponents of these solutions. Lyapunov exponents and their …
in terms of the critical exponents of these solutions. Lyapunov exponents and their …
Early warnings indicators of financial crises via auto regressive moving average models
We address the problem of defining early warning indicators of financial crises. To this
purpose, we fit the relevant time series through a class of linear models, known as auto …
purpose, we fit the relevant time series through a class of linear models, known as auto …
Behavior of early warnings near the critical temperature in the two-dimensional Ising model
IO Morales, E Landa, CC Angeles, JC Toledo… - PloS one, 2015 - journals.plos.org
Among the properties that are common to complex systems, the presence of critical
thresholds in the dynamics of the system is one of the most important. Recently, there has …
thresholds in the dynamics of the system is one of the most important. Recently, there has …
[HTML][HTML] Detecting regime transitions of the nocturnal and polar near-surface temperature inversion
A Kaiser, D Faranda, S Krumscheid… - Journal of the …, 2020 - journals.ametsoc.org
Detecting Regime Transitions of the Nocturnal and Polar Near-Surface Temperature
Inversion in: Journal of the Atmospheric Sciences Volume 77 Issue 8 (2020) Jump to …
Inversion in: Journal of the Atmospheric Sciences Volume 77 Issue 8 (2020) Jump to …
[HTML][HTML] Empirical Low-Dimensional Dynamics of Atmospheric Stable Boundary Layer Temperature Inversions
E Ramsey, AH Monahan - Journal of the Atmospheric …, 2022 - journals.ametsoc.org
The atmospheric stable boundary layer (SBL) is observed to display multiple regimes of
stratification, flow, and turbulence. Transitions between weakly stable regimes of sustained …
stratification, flow, and turbulence. Transitions between weakly stable regimes of sustained …
Dynamical stability indicator based on autoregressive moving-average models: Critical transitions and the Atlantic meridional overturning circulation
M Rodal, S Krumscheid, G Madan… - … Journal of Nonlinear …, 2022 - pubs.aip.org
A statistical indicator for dynamic stability, known as the Υ indicator, is used to gauge the
stability and, hence, detect approaching tipping points of simulation data from a reduced five …
stability and, hence, detect approaching tipping points of simulation data from a reduced five …
A wavelet-based approach to detect climate change on the coherent and turbulent component of the atmospheric circulation
D Faranda, D Defrance - Earth System Dynamics, 2016 - esd.copernicus.org
The modifications of atmospheric circulation induced by anthropogenic effects are difficult to
capture because wind fields feature a complex spectrum where the signal of large-scale …
capture because wind fields feature a complex spectrum where the signal of large-scale …
Probing turbulence intermittency via autoregressive moving-average models
We suggest an approach to probing intermittency corrections to the Kolmogorov law in
turbulent flows based on the autoregressive moving-average modeling of turbulent time …
turbulent flows based on the autoregressive moving-average modeling of turbulent time …