Surface water mass transformation in the Southern Ocean: The role of eddies revisited

The water mass transformation (WMT) framework describes how water of one class, such as a discrete interval of density, is converted into another class via air-sea fluxes or interior mixing processes. This paper investigates how this process is modified at the surface when mesoscale ocean eddies are...

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Bibliographic Details
Published in:Journal of Physical Oceanography
Other Authors: Small, R. Justin (author), Bryan, Frank O. (author), Bishop, Stuart P. (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2022
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Online Access:https://doi.org/10.1175/JPO-D-21-0087.1
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Summary:The water mass transformation (WMT) framework describes how water of one class, such as a discrete interval of density, is converted into another class via air-sea fluxes or interior mixing processes. This paper investigates how this process is modified at the surface when mesoscale ocean eddies are present, using a state-of-the-art high-resolution climate model with reasonable fidelity in the Southern Ocean. The method employed is to coarse-grain the high-resolution model fields to remove eddy signatures, and compare the results with those from the full model fields. This method shows that eddies reduced the WMT by 2-4 Sv (10%-20%; 1 Sv 10(6) m(3) s(-1)) over a wide range of densities, from typical values of 20 Sv in the smoothed case. The corresponding water mass formation was reduced by 40% at one particular density increment, namely, between 1026.4 and 1026.5 kg m(-3), which corresponds to the lighter end of the range of Indian Ocean Mode Water in the model. The effect of eddies on surface WMT is decomposed into three terms: direct modulation of the density outcrops, then indirectly, by modifying the air-sea density flux, and the combined effect of the two, akin to a covariance. It is found that the first and third terms dominate, i.e., smoothing the outcrops alone has a significant effect, as does the combination of smoothing both outcrops and density flux distributions, but smoothing density flux fields alone has little effect. Results from the coarse-graining method are compared to an alternative approach of temporally averaging the data. Implications for climate model resolution are also discussed. 1852977 80NSSC18K0769 80NSSC20K0890 DE-SC0006743