On the effect of surface gravity waves on mixing in the oceanic mixed layer

By Lakshmi Kantha, C. Clayson. 2004

245 citations recorded by the source corpus.

Subfields: Atmospheric Science, Oceanography

View Paper: https://www.semanticscholar.org/paper/db1d5e73cb5c1dbfda7feae5fe63eb70b5f88480

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Citations in the corpus

The physical oceanography of the transport of floating marine debris (2020, background): “…settings, Langmuir turbulence has led to improvements in parameterisations of vertical mixing in the boundary layer (McWilliams and Sullivan 2000, Kantha and Clayson 2004, Harcourt 2012, Noh et al 2015), which could form the basis for stochastic parameterisations of three-dimensional transport…”
Second-order turbulence closure models for geophysical boundary layers. A review of recent work (2005, methodology): “A similar result has been obtained by Kantha and Clayson (2004) for the model of Mellor and Yamada (1982), and by Umlauf et al. (2003) for the k–e and the k–o models.”
A global wave parameter database for geophysical applications. Part 1: Wave-current turbulence interaction parameters for the open ocean based on traditional parameterizations (2008, background): “In these 68 TW, there are of the order of hqauqUssi = 6 TW of TKE produced by the straining turbulence due to the Stokes drift (Ardhuin and Jenkins, 2006, the actual num- ber depends on the stratification, see also Kantha and Clayson, 2004), which may fuel Langmuir circulation.”
On the Interaction of Surface Waves and Upper Ocean Turbulence (2006, background): “Kantha and Clayson (2004) , but also for the forecasting of ocean waves and surface”
Dynamics of Winds and Currents Coupled to Surface Waves (2010, methodology): “Stokes production of TKE was included by Kantha & Clayson (2004), and Rascle et al. (2006) incorporated Stokes production, a Coriolis-Stokes term, and parameterized wave breaking in their ensemble average closures.”
Surface gravity wave effects in the oceanic boundary layer: large-eddy simulation with vortex force and stochastic breakers (2007, methodology): “Craig & Banner 1994; McWilliams & Sullivan 2000; Smyth et al. 2002; Kantha & Clayson 2004; Lewis & Belcher 2004; Melsom & SAEtra 2004; Ardhuin & Jenkins 2006; Rascale, Ardhuin & Terray 2006), with improvements motivated by better measurements and results from turbulence-resolving simulations with ”
A global wave parameter database for geophysical applications. Part 2: Model validation with improved source term parameterization (2013, unknown): “In particular, for linear waves, Uss can be estimated from the wave spectrum Eðf Þ and the directional spreading rhðf Þ, Uss ¼ Z fc 0 1 g 2pfð Þ3Eðf Þ 1 r2h df ð7Þ with rhðf Þ defined following Kuik et al. (1988), and expressed in radians.”
A call for new approaches to quantifying biases in observations of sea-surface temperature (2017, background): “A range of physical models has been explored for near-surface modeling, based on turbulence closure (e.g., Janssen 2012; Kantha and Clayson 2004).”
Surface Wave Effects in the NEMO Ocean Model: Forced and Coupled Experiments (2015, background): “The impact of the oceanic wave field on upper-ocean mixing and mean properties has been studied in a number of single-column mixed-layer model experiments (Craig and Banner , 1994; McWilliams and Restrepo, 1999;McWilliams and Sullivan, 2000; Burchard , 2001;Kantha and Clayson, 2004;Mellor and Blumbe”