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Published January 2024 | Published
Journal Article Open

Tracer Stirring and Variability in the Antarctic Circumpolar Current Near the Southwest Indian Ridge

  • 1. ROR icon California Institute of Technology

Abstract

Oceanic macroturbulence is efficient at stirring and transporting tracers. The dynamical properties of this stirring can be characterized by statistically quantifying tracer structures. Here, we characterize the macroscale (1–100 km) tracer structures observed by two Seagliders downstream of the Southwest Indian Ridge in the Antarctic Circumpolar Current (ACC). These are some of the first glider observations in an energetic standing meander of the ACC, a region associated with enhanced ventilation. The small-scale density variance in the mixed layer (ML) was relatively enhanced near the surface and base of the ML, while being muted at mid-depth in the ML, suggesting the formation mechanism to be associated with ML instabilities and eddies. In addition, ML density fronts were formed by comparable contributions from temperature and salinity gradients. In the interior, along-isopycnal spectra and structure functions of spice indicated that there is relatively lower variance at smaller scales than would be expected based on non-local stirring, suggesting that flows smaller than the deformation radius play a role in the cascade of tracers to small scales. These interior spice anomalies spanned across isopycnals, and were found to be about 3–5 times flatter than the aspect ratio that would be expected for O(1) Burger number flows like interior QG dynamics, suggesting the ratio of vertical shear to horizontal strain is greater than N/f. This further supports that small-scale flows, with high-mode vertical structures, impact tracer distributions.

Copyright and License

© 2024 The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes

Acknowledgement

This work was made possible by the National Science Foundation under Grant 2102495. We thank the Incorporated Research Institutions for Seismology, whose internship program allowed Tamama to pursue this research We thank Siyu Xue, for computing the ambient noise cross correlations for all station pairs and providing us with the Love and Rayleigh wave dispersion measurements crucial to this project. We thank Baowei Liu for his assistance in preparing our inversions. We thank the University of Rochester's Center for Integrated Research Computing (CIRC), for providing us with the computational support and resources for this project. We also thank Carl Schmidtman and Miki Nakajima for generously allocating us with additional computational resources. We acknowledge many helpful discussions with Lara Wagner, Baowei Liu, Ziqi Zhang, Walter Hennings, Enting Zhou, Sayan Swar, Steve Carr, Canberk Eckmecki. This work used Bridges2 at Pittsburgh Supercomputing Center (PSC) and Expanse at San Diego Supercomputer Center (SDSC) through allocation EES220030 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program Boerner et al. (2023), which is supported by National Science Foundation Grants #2138259, #2138286, #2138307, #2137603, and #2138296.

Contributions

Conceptualization: Dhruv Balwada, Alison R. Gray, Lilian A. Dove

Data curation: Dhruv Balwada, Lilian A. Dove, Andrew F. Thompson

Formal analysis: Dhruv Balwada, Lilian A. Dove

Funding acquisition: Alison R. Gray, Andrew F. Thompson

Investigation: Dhruv Balwada

Methodology: Dhruv Balwada, Andrew F. Thompson

Project Administration: Alison R. Gray, Andrew F. Thompson

Resources: Dhruv Balwada, Andrew F.

Data Availability

No seismic data was used in this study. The full catalog of dispersion measurements can be obtained from Xue and Olugboji (2021) and was published alongside (Olugboji & Xue, 2022). A digital format of the probabilistic surface wave dispersion maps and the shear velocity model of Africa's Crust Evaluated using the ADAMA Rayleigh wave Phase dispersion (ACE-ADAMA-RP) is available at (Xue, 2023).

Supporting informaiton S1

Files

JGR Oceans - 2024 - Balwada - Tracer Stirring and Variability in the Antarctic Circumpolar Current Near the Southwest.pdf

Additional details

Created:
June 20, 2024
Modified:
June 20, 2024