Interactions of internal tides with a heterogeneous and rotational ocean

Pan, Yulin; Haley, Patrick J.; Lermusiaux, Pierre F. J.

doi:10.1017/jfm.2021.423

Cited by 13 publications

(10 citation statements)

References 85 publications

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“…A rigorous investigation of this question would require a full energy budget, that accounts for eddy-IW energy exchanges, interaction with the topography, etc. 53 , which is beyond the scope of this paper.…”

Section: Discussionmentioning

confidence: 98%

Wind-current feedback is an energy sink for oceanic internal waves

Delpech

Barkan

Renault

et al. 2023

Sci Rep

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Internal waves contain a large amount of energy in the ocean and are an important source of turbulent mixing. Ocean mixing is relevant for climate because it drives vertical transport of water, heat, carbon and other tracers. Understanding the life cycle of internal waves, from generation to dissipation, is therefore important for improving the representation of ocean mixing in climate models. Here, we provide evidence from a regional realistic numerical simulation in the northeastern Pacific that the wind can play an important role in damping internal waves through current feedback. This results in a reduction of 67% of wind power input at near-inertial frequencies in the region of study. Wind-current feedback also provides a net energy sink for internal tides, removing energy at a rate of 0.2 mW/m$$^2$$ 2 on average, corresponding to 8% of the local internal tide generation at the Mendocino ridge. The temporal variability and modal distribution of this energy sink are also investigated.

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Section: Discussionmentioning

confidence: 98%

Wind-current feedback is an energy sink for oceanic internal waves

Delpech

Barkan

Renault

et al. 2023

Sci Rep

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“…It is written as

\overline{C}=\frac{\partial \overline{E}}{\partial t}+{\nabla }_{H}\cdot \overline{\mathbf{F}}+\overline{R},

where the overbars indicate depth‐integration,

\overline{C}

is the barotropic to baroclinic energy conversion,

\frac{\partial \overline{E}}{\partial t}

is the tendency term,

{\nabla }_{H}=\left(\frac{\partial }{\partial x},\frac{\partial }{\partial y}\right)

is the horizontal divergence operator,

\overline{\mathbf{F}}

is the depth integrated baroclinic energy flux vector, and

\overline{R}

is the residual. In the absence of wave‐mean flow and wave‐wave energy exchange terms (Barkan et al., 2021; Kelly, 2016; Pan et al., 2021), the residual term is interpreted as baroclinic energy dissipation (Buijsman et al., 2016).…”

Section: Model and Methodsmentioning

confidence: 99%

“…flux vector, and 𝐴𝐴 𝑅𝑅 is the residual. In the absence of wave-mean flow and wave-wave energy exchange terms (Barkan et al, 2021;Kelly, 2016;Pan et al, 2021), the residual term is interpreted as baroclinic energy dissipation (Buijsman et al, 2016).…”

Section: Internal Wave Energeticsmentioning

confidence: 99%

Nonlinear Internal Tides in a Realistically Forced Global Ocean Simulation

Solano,

Buijsman,

Shriver

et al. 2023

JGR Oceans

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The decay of the low‐mode internal tide due to the superharmonic energy cascade is investigated in a realistically forced global Hybrid Coordinate Ocean Model simulation with 1/25° (4 km) horizontal grid spacing. Time‐mean and depth‐integrated supertidal kinetic energy is found to be largest near low‐latitude internal tide generation sites, such as the Bay of Bengal, Amazon Shelf, and Mascarene Ridge. The supertidal kinetic energy can make up to 50% of the total internal tide kinetic energy several hundred kilometers from the generation sites. As opposed to the tidal flux divergence, the supertidal flux divergence does not correlate with the barotropic to baroclinic energy conversion. Instead, the time‐mean and depth‐integrated supertidal flux divergence correlates with the nonlinear kinetic energy transfers from (sub)tidal to supertidal frequency bands as estimated with a novel coarse‐graining approach. The regular spaced banding patterns of the surface‐intensified nonlinear energy transfers are attributed to semidiurnal mode 1 and mode 2 internal waves that interfere constructively at the surface. This causes patches where both surface tidal kinetic energy and nonlinear energy transfers are elevated. The simulated internal tide off the Amazon Shelf steepens significantly near these patches, generating solitary‐like waves in good agreement with Synthetic Aperture Radar imagery. Globally, we find that regions of high supertidal energy flux also show a high correlation with observed instances of internal solitary waves.

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“…Applications include monitoring [53]; real-time acoustic predictions and DA [85,43,56,13]; environmental predictions and management [3,7,8]; relocatable rapid response [74,12]; path planning for autonomous vehicles [76,60,59,54]; and, adaptive sampling [48,28,29]. MSEAS has been tested and validated in many real-time forecasting exercises [49,19,71,56,20,51,1,50,52,55,69]. Recently, we issued multiresolution forecasts of 3D Lagrangian transports, coherent structures, and their uncertainties, and guided drifter releases for optimal sampling (NSF-ALPHA).…”

Section: A Ocean Modelingmentioning

confidence: 99%

Plastic Pollution in the Coastal Oceans: Characterization and Modeling

Lermusiaux

Marshall

Peacock

et al. 2019

Oceans 2019 MTS/Ieee Seattle

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To cleanup marine plastics, accurate modeling is needed. We outline and illustrate a new partial-differentialequation methodology for characterizing and modeling plastic transports in time and space (4D), showcasing results for Massachusetts Bay. We couple our primitive equation model for ocean dynamics with our composition based advection for Lagrangian transport. We show that the ocean physics predictions have skill by comparison with synoptic data. We predict the fate of plastics originating from four sources: rivers, beach and nearshore, local Bay, and remote offshore. We analyze the transport patterns and the regions where plastics accumulate, comparing results with and without plastic settling. Simulations agree with existing debris and plastics data. They also show new results: (i) Currents set-up by wind events strongly affect floating plastics. Winds can for example prevent Merrimack outflows reaching the Bay; (ii) There is significant chaotic stirring between nearshore and offshore floating plastics as explained by ridges of Lagrangian Coherent Structures (LCSs); (iii) With 4D plastic motions and settling, plastics from the Merrimack and nearshore regions can settle to the seabed before offshore advection; (iv) Internal waves and tides can bring plastics downward and out of main currents, leading to settling to the deep bottom. (v) Attractive LCSs ridges are frequent in the northern Cape Cod Bay, west of the South Shore, and southern Stellwagen Bank. They lead to plastic accumulation and sinking along thin subduction zones.

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Interactions of internal tides with a heterogeneous and rotational ocean

Abstract: Abstract

Cited by 13 publications

References 85 publications

Wind-current feedback is an energy sink for oceanic internal waves

Wind-current feedback is an energy sink for oceanic internal waves

Nonlinear Internal Tides in a Realistically Forced Global Ocean Simulation

Plastic Pollution in the Coastal Oceans: Characterization and Modeling

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