Cautionary tales from the mesoscale eddy transport tensor. (April 2023)

• Record Type: Journal Article
• Authors: Uchida, Takaya; Balwada, Dhruv; Jamet, Quentin; Dewar, William K.; Deremble, Bruno; Penduff, Thierry; Le Sommer, Julien
• Is Part Of: Ocean modelling. Volume 182(2023)
• Publication Date: 2023-04
• Subjects: Ensemble simulation -- Mesoscale eddy -- Eddy diffusivity -- Thickness-weighted average; Oceanography -- Periodicals; Océanographie -- Périodiques; Oceanography; Periodicals; 551.46
• DOI: 10.1016/j.ocemod.2023.102172
• Languages: English
• ISSNs: 1463-5003

Abstract

Abstract: The anisotropic mesoscale eddy transport tensor is diagnosed using passive tracers advected online in both an idealized 101-member mesoscale-resolving quasi-geostrophic (QG) double-gyre ensemble, and a realistic 24-member eddying ( 1 / 1 2 ∘ ) ensemble of the North Atlantic. We assert that the Reynold's decomposition along the ensemble dimension, rather than the spatial or temporal dimension, allows us to capture the intrinsic spatiotemporal variability of the mean flow and eddies. The tensor exhibits good performance in reconstructing the eddy fluxes of passive tracers, here defined as fluctuations about the ensemble thickness-weighted averaged (TWA) mean. However, the inability of the tensor to reconstruct eddy fluxes of QG potential vorticity, which encapsulates the eddy-mean flow interaction, and other active tracers raises the question: To what extent can the diagnosed tensor be applied to inform the parametrization of mesoscale dynamics? Highlights: Eddy transport tensors are diagnosed from passive tracers in ensemble simulations. The tensor reconstructs the thickness-weighted averaged eddy passive tracer flux. Whether we can use the tensor to parametrize eddy active tracer flux is questionable.