Sensitivity of a Coarse-Resolution Global Ocean Model to Spatially
Variable Neutral Diffusion
Abstract
Motivated by recent advances in mapping mesoscale eddy tracer mixing in
the ocean we evaluate the sensitivity of a coarse-resolution global
ocean model to a spatially variable neutral diffusion coefficient
$\kappa_n(x,y,z)$. We gradually introduce
physically-motivated models for the horizontal (mixing length theory)
and vertical (surface mode theory) structure of
$\kappa_n$ along with suppression of mixing by mean
flows. Each structural feature influences the ocean’s hydrography and
circulation to varying extents, with the suppression of mixing by mean
flows being the most important factor and the vertical structure being
relatively unimportant. When utilizing the full theory (experiment
“FULL’) the interhemispheric overturning cell is strengthened by $2$
Sv at $26^\circ$N (a
$\sim20\%$ increase), bringing it into
better agreement with observations. Zonal mean tracer biases are also
reduced in FULL. Neutral diffusion impacts circulation through surface
temperature-induced changes in surface buoyancy fluxes and non-linear
equation of state effects. Surface buoyancy forcing anomalies are
largest in the Southern Ocean where decreased neutral diffusion in FULL
leads to surface cooling and enhanced dense-to-light surface watermass
transformation, reinforced by reductions in cabbeling and
thermobaricity. The increased watermass transformation leads to enhanced
mid-latitude stratification and interhemispheric overturning. The
spatial structure for $\kappa_n$ in FULL is important
as it enhances the interhemispheric cell without degrading the Antarctic
bottom water cell, unlike a spatially-uniform reduction in
$\kappa_n$. These results highlight the sensitivity of
modeled circulation to $\kappa_n$ and motivate the use
of physics-based models for its structure.