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Lookup NU author(s): Dr Samuel Hartharn-EvansORCiD, Dr Magda CarrORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Copyright © 2024 Samuel George Hartharn-Evans et al. While well-established energy-based methods of quantifying diapycnal mixing in process-study numerical models are often used to provide information about when mixing occurs, and how much mixing has occurred, describing how and where this mixing has taken place remains a challenge. Moreover, methods based on sorting the density field struggle when the model is under-resolved and when there is uncertainty as to the definition of the reference density when bathymetry is present. Here, an alternative method of understanding mixing is proposed. Paired histograms of user-selected variables (which we abbreviate USPs (user-controlled scatter plots)) are employed to identify mixing fluid and are then used to display regions of fluid in physical space that are undergoing mixing. This paper presents two case studies showcasing this method: shoaling internal solitary waves and a shear instability in cold water influenced by the nonlinearity of the equation of state. For the first case, the USP method identifies differences in the mixing processes associated with different internal solitary wave breaking types, including differences in the horizontal extent and advection of mixed fluid. For the second case, the method is used to identify how density and passive tracers are mixed within the core of the asymmetric cold-water Kelvin-Helmholtz instability.
Author(s): Hartharn-Evans SG, Stastna M, Carr M
Publication type: Article
Publication status: Published
Journal: Nonlinear Processes in Geophysics
Year: 2024
Volume: 31
Issue: 1
Pages: 61-74
Online publication date: 30/01/2024
Acceptance date: 17/12/2023
Date deposited: 20/02/2024
ISSN (print): 1023-5809
ISSN (electronic): 1607-7946
Publisher: Copernicus Publications
URL: https://doi.org/10.5194/npg-31-61-2024
DOI: 10.5194/npg-31-61-2024
Data Access Statement: The interactive MATLAB tool presented in this study can be found at https://github.com/HartharnSam/SPINS_USP (last access: 4 December 2023). This code and data are available from https://doi.org/10.25405/data.ncl.c.6704289(Hartharn-Evansetal., 2023).
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