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Representation of Surface Mixed-Layer Eddies Affects the Large-Scale Ventilation of the Global Ocean

  • Takaya Uchida
  • , Abigail Bodner
  • , Brandon G. Reichl
  • , Alistair J. Adcroft
  • , Baylor Fox-Kemper
  • , Mehmet Ilicak
  • , Mats Bentsen
  • , Gustavo M. Marques
  • , William G. Large
  • Florida State University
  • Université Grenoble Alpes
  • Moscow Institute of Physics and Technology
  • Massachusetts Institute of Technology
  • National Oceanic and Atmospheric Administration
  • Princeton University
  • Brown University
  • Istanbul Technical University
  • Bjerknes Centre for Climate Research
  • National Center for Atmospheric Research

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Surface mixed-layer dynamics play a crucial role in modulating the climate as it is the oceanic layer that directly communicates with the atmosphere. The resolution of global ocean models is, however, often restricted to (Formula presented.); this is too coarse to adequately resolve mixed-layer processes, and we depend on parametrizations. One of such parametrizations is the mixed-layer eddy (MLE) parametrization. Here, we compare the performance of two MLE parametrizations [Fox-Kemper et al. (2011, https://doi.org/10.1016/j.ocemod.2010.09.002 hereon BFF11) and Bodner et al. (2023, https://doi.org/10.1175/jpo-d-21-0297.1 hereon BOD23)], and document their impact in three global ocean simulations. Upon tuning, and diagnosing submesoscale-permitting truth simulations, the MLE efficiency coefficient in BOD23 ranges between the values of 0.003–0.038, while 0.06 to 0.07 for BFF11. We find that the spatial distribution of mixed-layer depth and ventilation of the abyssal ocean, using the ideal-age tracer and Atlantic Meridional Overturning Circulation as its proxy, are sensitive to the interaction between MLE parametrizations and ocean surface boundary-layer mixing schemes.

Original languageEnglish
Article numbere2025GL116872
JournalGeophysical Research Letters
Volume53
Issue number4
DOIs
StatePublished - Feb 28 2026
Externally publishedYes

Keywords

  • air-sea interactions
  • climate sensitivity
  • mixed layer dynamics
  • ocean models
  • parameterizations

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