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

2020-05-0670

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

Journal: Journal of Physical Oceanography, https://journals.ametsoc.org/doi/abs/10.1175/JPO-D-19-0144.1

Authors: TANG S. -Q., Hans von Storch*, and X. -E. Chen

Abstract: 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.