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84958281313
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Although the snapshot attractors are fractal throughout the annual cycle, the numerically found fractal dimension is known to exhibit large fluctuations around a constant value predicted by theory.13132
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Although the snapshot attractors are fractal throughout the annual cycle, the numerically found fractal dimension is known to exhibit large fluctuations around a constant value predicted by theory.13132.
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84958281314
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Wherever we see red points in the absence of blue/green ones, it is thought that the applied numerical technique fails to find them, because the measure of the stable/unstable manifold in those places is very small.
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Wherever we see red points in the absence of blue/green ones, it is thought that the applied numerical technique fails to find them, because the measure of the stable/unstable manifold in those places is very small.
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84958281315
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The blank circles around the attractor points indicate the size of their neighborhood used to define escape. A relatively large size had to be used because the attractors are fairly weakly attracting. This is due to the fact that only a slightly larger extent of the overall attracting trajectories (a period-1 and a period-4 cycle for F =
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The blank circles around the attractor points indicate the size of their neighborhood used to define escape. A relatively large size had to be used because the attractors are fairly weakly attracting. This is due to the fact that only a slightly larger extent of the overall attracting trajectories (a period-1 and a period-4 cycle for F = 6) lie in the dissipative phase space region, x<1+a/2. The (green) unstable manifold certainly extends to within the blank circles, as they guide trajectories to the attractor points, but this can be seen after very long iterations only.
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The type of the limit distribution of extreme values is not practical to determine, because for a sufficient sample size at a certain phase of the year the simulation would have to be run excessively long. Nevertheless, the limit distributions throughout the year are thought to be all well-approximated by Weibull distributions, with different shape parameters.14 This is consistent with the fact th
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The type of the limit distribution of extreme values is not practical to determine, because for a sufficient sample size at a certain phase of the year the simulation would have to be run excessively long. Nevertheless, the limit distributions throughout the year are thought to be all well-approximated by Weibull distributions, with different shape parameters.14 This is consistent with the fact that any physical snapshot attractor of L84 driven periodically has a finite extension, and therefore, there is a finite maximum value that the variable can take.
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5 years, respectively.
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5 years, respectively.
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Instead of the static envelope, which is the envelope of the chaotic sets (chaotic attractors or saddles), the envelope of the chaotic saddles' unstable manifold and of the chaotic attractors could also be considered. The problem with this second static envelope is that it assumes a more or less uniform population of the unstable manifold which need not be the case in the prese
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Instead of the static envelope, which is the envelope of the chaotic sets (chaotic attractors or saddles), the envelope of the chaotic saddles' unstable manifold and of the chaotic attractors could also be considered. The problem with this second static envelope is that it assumes a more or less uniform population of the unstable manifold which need not be the case in the presence of driving. In addition, of course, the manifolds are also distorted in the driven system. In fact, this envelope cannot be determined a priori, it can only be found a posteriori, in the full knowledge of the driven dynamics.
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