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Atmospherically Forced Regional Ocean Simulations of the South China Sea: Scale Dependency of the Signal-to-Noise Ratio

机译:南海的大气强迫区域海洋模拟:信噪比的尺度相关性

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摘要

When subjecting ocean models to atmospheric forcing, the models exhibits two types of variability-a response to the external forcing (hereafter referred to as signal) and inherently generated (internal, intrinsic, unprovoked, chaotic) variations (hereafter referred to as noise). Based on an ensemble of simulations with an identical atmospherically forced oceanic model that differ only in the initial conditions at different times, the signal-to-noise ratio of the atmospherically forced oceanic model is determined. In the large scales, the variability of the model output is mainly induced by the external forcing and the proportion of the internal variability is small, so the signal-to-noise ratio is large. For smaller scales, the influence of the external forcing weakens and the influence of the internal variability strengthens, so the signal-to-noise ratio becomes less and less. Thus, the external forcing is dominant for large scales, while most of the variability is internally generated for small scales.
机译:在使海洋模型受到大气强迫作用时,这些模型表现出两种类型的可变性-对外部强迫的响应(以下称为信号)和固有产生的(内部,内在,无端,无序)变化(以下称为噪声)。基于具有相同的大气强迫海洋模型的一组模拟,这些模拟仅在不同时间的初始条件不同,从而确定了大气强迫海洋模型的信噪比。在大尺度上,模型输出的可变性主要是由外部强迫引起的,内部可变性的比例较小,因此信噪比较大。对于较小的比例,外部强迫的影响减弱,内部可变性的影响增强,因此信噪比越来越小。因此,对于大尺度而言,外部强迫是主要的,而对于小尺度而言,大多数变化是内部产生的。

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