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Interplay between chaos and external noise in an extended system: improved forecasting due to intrinsic stocahstic resonance phenomena

机译:扩展系统中的混沌与外部噪声之间的相互作用:由于固有的随机共振现象而改善了预测

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摘要

We have investigated the effects of noise on an extended chaotic system using as benchmark the Lorenz'96 model. The analysis of the system's time evolution and its time and space correlations show numerical evidence for two distinct stochastic resonance-like behaviors as a function of the external noise intensity, or the system size, and they result to be only weakly sensitive to an external periodic signal. The underlying mechanisms can be associated to a noise induced chaos reduction. A new view of the stochastic resonance phenomenon in a nonstationary situation is shown, studying the resonant phenomena implications in forecasting by exploiting a new method that quantifies the reduction of chaos error evolution process.
机译:我们以洛伦兹96模型为基准,研究了噪声对扩展混沌系统的影响。对系统时间演变及其时间和空间相关性的分析显示出两种不同的类似于随机共振的行为作为外部噪声强度或系统大小的函数的数值证据,并且结果表明它们仅对外部周期性敏感信号。潜在的机制可能与噪声引起的混沌减少相关。显示了在非平稳情况下随机共振现象的新观点,通过采用量化量化减少混沌误差演化过程的新方法,研究了共振现象在预测中的意义。

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