Exploring Baroclinic Instability of the Computational Kind (BICK) in Numerical Simulations of the Ocean

3Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Primitive-equation models are essential tools for studying ocean dynamics and their ever-increasing resolution uncovers ever finer scales. At mesoscales and submesoscales, baroclinic instability is one of the main drivers of turbulence, but spurious numerical instabilities can also arise, leading to nonphysical dynamics. This study investigates a spurious instability termed Baroclinic Instability of Computational Kind (BICK), discovered in Arakawa and Moorthi (1988, https://doi.org/10.1175/1520-0469(1988)045<1688:BIIVDS>2.0.CO;2) and Bell and White (2017, https://doi.org/10.1016/j.ocemod.2017.08.001), through idealized configurations using a vertical (Modified) Lorenz grid. Here, we explore the growth of BICK within quasi-geostrophic (QG) and hydrostatic primitive-equation (HPE) frameworks for different setups: the canonical Eady configuration, stratification-modified Eady configurations, and a surface-intensified jet configuration. Our results confirm that the emergence of BICK is specific to the vertical staggering of the (Modified) Lorenz grids. Its growth is consistent with linear QG theory, and BICK is confined near the surface and bottom boundaries. In HPE simulations, the nonlinear evolution of BICK generates small-scale spurious eddies and reduces frontal sharpness. Increasing the number of levels reduces BICK's horizontal scale down to below the model's effective resolution. We illustrate this property using regional HPE simulations with a varying number of levels. BICK is found to significantly affect the vertically under-resolved simulations by introducing small-scale noise from both the bottom and surface boundaries. Our recommendation is to keep the ratio between the model horizontal (Formula presented.) and vertical (Formula presented.) resolution greater than (Formula presented.), where (Formula presented.) is the Brunt-Väisälä frequency and (Formula presented.) the Coriolis parameter, to minimize the impact of BICK on the dynamics.

Cite

CITATION STYLE

APA

Ménesguen, C., Ducousso, N., Vic, C., & Le Gentil, S. (2025). Exploring Baroclinic Instability of the Computational Kind (BICK) in Numerical Simulations of the Ocean. Journal of Advances in Modeling Earth Systems, 17(4). https://doi.org/10.1029/2024MS004600

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free