Published March 7, 2025 | Accepted
Journal Article Open

Heat transport towards sea ice by transient processes and coherent mesoscale eddies in an idealized Southern Ocean

  • 1. ROR icon McGill University
  • 2. ROR icon Université du Québec à Rimouski
  • 3. ROR icon California Institute of Technology

Abstract

Oceanic mesoscale variability contributes significantly to meridional heat transport (HT), especially in regions with high eddy kinetic energy such as the Southern Ocean (SO). However, there are gaps in our understanding of mesoscale contributions towards and within sea-ice covered regions due to the lack of observations and resolution in ocean and climate models. Using output from an idealized configuration of a coupled ocean-sea ice model simulating the SO at 10 km horizontal resolution, the contribution of the full spectrum of resolved transient mesoscale variability to the total meridional HT towards and under sea ice is investigated. The total HT is poleward, dominated by the transient HT which is primarily along isopycnals and closely follows the residual overturning circulation. The HT induced by coherent mesoscale eddies is extracted using an eddy detection and tracking algorithm. Coherent eddies contribute up to 20-30% to the meridional transient HT, depending on latitude, with equal contributions from cyclones and anticyclones. The meridional HT by coherent eddies is predominantly accomplished by stirring with only 30% contributed by heat trapped inside these eddies. The majority of the transient HT across the ice edge occurs below the mixed layer, and this heat is then upwelled towards the surface with coherent eddies contributing between 20-30%. Within the mixed layer, 15-25% of the upwelled heat is transferred to the pack ice. Albeit significant, coherent mesoscale eddies play a secondary role in the SO's poleward HT that is primarily achieved by other transient mesoscale processes.

Copyright and License

© 2025 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license.

Acknowledgement

We thank two anonymous reviewers for their constructive comments and suggestions that helped improve this manuscript. JKR acknowledges support from the Natural Sciences and Engineering Research Council of Canada (NSERC) through Discovery grants (grant no. RGPIN-2018-04985), Accelerator Supplements (grant no. RGPAS-2018-522502), and Canada Research Chair (grant no. 252794) to COD. JKR also acknowledges the support of Mitacs through the Globalink Research award. JKR and COD wish to acknowledge the support of the Quebec-Ocean research network. AFT was supported by the Office of Naval Research Multidisciplinary University Research Initiative (ONR-MURI) award N00014-19-1-2421. Numerical simulations and analyses have been conducted on the Narval computing cluster of the Digital Research Alliance 
of Canada using the infrastructure awarded through the Canada Foundation for Innovation - John R. Evans Leaders Fund infrastructure grant to COD (grant no. 37891). The authors thank Mukund Gupta for helpful discussions on this work.

Data Availability

The MITgcm model code used in this study (checkpoint67s) is available at https://zenodo.org/record/3967889. Data from WOA18 are available at https://www.ncei.noaa.gov/access/world-ocean-atlas-2018/ and data from ERA5 can be found at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview . The satellite-derived velocities are calculated from SLTAC ”Global Ocean Gridded L 4 Sea Surface Heights and Derived Variables Reprocessed 1993 Ongoing” (https://doi.org/10.48670/moi-00148) and the sea ice concentration is from the ”NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4” (https://doi.org/10.7265/EFMZ-2T65). All routines necessary to create the input files for the presented simulation along with all namelists and changes to the code necessary to run the presented simulation and the scripts to post-process the model output and create the figures shown in this mansuscript along with the post-processed, final data used to create the figures of this manuscript are available at https://github.com/jk-rieck/2024-eddy-heat-transport-towards-sea-ice and https://github.com/jk-rieck/postmit . The eddy detection and tracking algorithm is available at https://github.com/jk-rieck/eddytools/tree/v2022.09 . The complete model output is too large to be hosted in a publicly available location and can be accessed by request to the corresponding author.

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Additional details

Created:
March 19, 2025
Modified:
March 19, 2025