Six recent Langmuir turbulence parameterization schemes and five traditional schemes are
implemented in a common single‐column modeling framework and consistently compared …

Parameterizations of unresolved turbulent processes often compromise the fidelity of large‐
scale ocean models. In this work, we argue for a Bayesian approach to the refinement and …

The ocean near-surface layers, such as the mixed and mixing layers, the entrainment layer,
and the log layer, contain the oceans' most energetic turbulence and are critical to …

Abstract This study utilizes Deep Neural Networks (DNN) to improve the K‐Profile
Parameterization (KPP) for the vertical mixing effects in the ocean's surface boundary layer …

A process study using large‐eddy simulations is carried out to explore the dominant 1‐D
processes that affect mixed layer (ML) properties during an event of summer Monsoon Intra …

In ocean and climate models, the simulation of upper-ocean temperature and salinity
depends on mixing parameterizations for ocean surface boundary layer turbulence. Existing …

We describe a new framework to represent wave effects on currents, including several
approximations (Stokes drift, Bernoulli head, and quasi-static pressure) and a …

A shallow mixed layer depth bias in Austral winter in the Subantarctic Zone is a common
feature of Coupled Model Intercomparison Project (CMIP5) models, including the …

In this study, we present a new parameterization for the enhancement of vertical mixing
brought by the inclusion of the Stokes drift for the turbulent mixing schemes in ocean …

A comprehensive in situ data set was obtained for the purpose of testing upper ocean
turbulence models. The data set was collected in 38 m deep water over the North Carolina …