Towards realistic ocean flow decomposition using optimal balance with time-averaging

Abstract

Decomposing oceanic and atmospheric flow fields into their slowly evolving balanced components and fast evolving wave components is essential for understanding processes like spontaneous wave emission. To study these processes, the decomposition into the linear geostrophic (slow) and non-geostrophic (fast) components is not precise enough. More precise methods, such as optimal balance and nonlinear normal mode decomposition, account for nonlinear effects, but their application has so far been limited to idealized model configurations that exclude irregular lateral boundaries, depth variations, a varying Coriolis parameter, or other environmental conditions. Here, we address these limitations by modifying the optimal balance method such that it is applicable to more realistic model setups. The modification employs a time-averaging procedure to project onto the linear geostrophic component, eliminating the need for a Fourier transformation as required in the original optimal balance method. We demonstrate analytically and experimentally that the new method converges to the original method when either the time-averaging period or the number of optimal balance iterations increases. We test the new method using a two-dimensional single-layer model and a three-dimensional non-hydrostatic model with varying initial conditions and Rossby numbers ranging from 0.03 to 0.5. In all tested configurations, the differences between balanced states obtained from the new method and those from the original method become exponentially small. Optimal balance with time-averaging thus comes forth as a promising new flow decomposition tool for complex flows.