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Abstract
Pycnocline stratification is increasing across multiple ocean basins due to a warming surface ocean and increasing sea ice melt. Pycnocline stratification plays a leading order role in tracer transport, shaping capacity for heat and carbon uptake, making it a key parameter of interest on timescales ranging from paleoclimate to plankton blooms. Part of the challenge in assessing the role of pycnocline stratification in global models is the two-way connection between physical processes at the (sub)mesoscale and stratification with important implications for tracer subduction. Using a suite of numerical simulations of an idealized front, we find that the strength of pycnocline stratification influences the formation and evolution of submesoscale structure and the resulting tracer transport. The impact of changing stratification on tracer flux strongly depends on whether frontal strength is also changed correspondingly by holding the isopycnal slope fixed. When a constant isopycnal slope is initialized, tracers get efficiently transferred across the base of the mixed layer and get trapped in anticyclonic submesoscale vortices below the mixed layer. This leads to tracer concentrations below the mixed layer and fluxes through it to be stronger under decreased stratification conditions. In contrast, when frontal lateral buoyancy gradient is held fixed while stratification changes, the vertical flux of tracers and the concentrations at depth stay constant across all examined stratification conditions. Understanding the relationship between pycnocline stratification and fine-scale physical motions is necessary to diagnose and predict trends in carbon uptake and storage, particularly in the Southern Ocean.
DOI
https://doi.org/10.31223/X51B05
Subjects
Oceanography and Atmospheric Sciences and Meteorology, Physical Sciences and Mathematics
Keywords
ventilation, Submesoscale, process study, tracer
Dates
Published: 2024-11-08 09:58
License
CC BY Attribution 4.0 International
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Data Availability (Reason not available):
Float data from Snapshot 2023-08-28 (\url{https://doi.org/10.6075/J0542NS9}) were collected and made freely available by the Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) Project funded by the National Science Foundation, Division of Polar Programs (NSF PLR-1425989 with extension NSF OPP-1936222) supplemented by NASA and by the International Argo Program and the NOAA programs that contribute to it. The Argo Program is part of the Global Ocean Observing System (https://doi.org/10.17882/42182). The model simulation files are available and documented at doi.org/10.5281/zenodo.13937157.
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