Resonance excitation of internal waves by fluctuations of the atmospheric pressure and the tangential wind stress

1990 ◽  
Vol 1 (6) ◽  
pp. 405-410
Author(s):  
S. F. Dotsenko
Keyword(s):  
Internal Waves ◽  
Wind Stress ◽  
Atmospheric Pressure ◽  
Resonance Excitation ◽  
Tangential Wind

Atmospheric pressure and internal waves interaction: a resonant case

1979 ◽  
Vol 28 (2-3) ◽  
pp. 279-291 ◽  
Author(s):  
M. Colacino ◽  
R. Purini ◽  
A. Rovelli ◽  
C. Stocchino
Keyword(s):  
Internal Waves ◽  
Atmospheric Pressure ◽  
Resonant Case ◽  
Waves Interaction

scholarly journals Study of Internal Waves in the Persian Gulf

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Seyed Majid Mosaddad
Keyword(s):  
Water Column ◽  
Internal Waves ◽  
Wind Stress ◽  
Persian Gulf ◽  
Water Basin ◽  
River Inflow ◽  
The Persian Gulf

The Persian Gulf (PG), as a semi-enclosed water basin extends in [47-57] E, [24-30] N, geographic domain. Particularly, northern part of the PG shows more baroclinicity and turbulence because of the river inflow from the Arvand, bottom and costal stresses. Furthermore, wind stress has many effects rather than in mid deep domain of the PG. Thermocline development in the PG is observed because of studying the data measured in the Mt. Mitchell cruise in 1992 by different models from winter to summer. The studied turbulence in the northern part of the PG is navigated from winter to summer due to the internal wave’s activity and stability intensified through water column.

Spectra and Coherence of Wind-Generated Internal Waves

1976 ◽  
Vol 33 (10) ◽  
pp. 2323-2328 ◽  
Author(s):  
R. H. Käse ◽  
C. L. Tang
Keyword(s):  
Energy Density ◽  
Internal Wave ◽  
Internal Waves ◽  
Wind Stress ◽  
Wave Mode ◽  
Wave Number ◽  
Small Scale ◽  
Two Dimensional ◽  
Scale Turbulence ◽  
Main Thermocline

On the basis of a model for an internal wave field that is generated by a randomly varying isotropic wind stress and in which energy is transferred to small-scale turbulence, we derive the two-dimensional energy density function. The coherence scales are determined by the highest order internal wave mode that is not affected by virtual friction in the main thermocline, provided the curl of the wind stress has a white noise wave number spectrum. In general, this mode number scale is increasing monotonically with frequency. As a result of such a frequency dependent mode bandwidth, the vertical coherence drops with increasing frequency.

scholarly journals Improve the Simulations of Near-Inertial Internal Waves in the Ocean General Circulation Models

2015 ◽  
Vol 32 (10) ◽  
pp. 1960-1970 ◽  
Author(s):  
Zhao Jing ◽  
Lixin Wu ◽  
Xiaohui Ma
Keyword(s):  
Internal Waves ◽  
Wind Stress ◽  
General Circulation ◽  
General Circulation Models ◽  
Linear Interpolation ◽  
Sinc Function ◽  
Time Step ◽  
Ocean General Circulation Models ◽  
Ocean General Circulation ◽  
Stress Variance

AbstractThe near-inertial wind work and near-inertial internal waves (NIWs) in the ocean have been extensively studied using ocean general circulation models (OGCMs) forced by 6-hourly winds or wind stress obtained from atmospheric reanalysis data. However, the OGCMs interpolate the reanalysis winds or wind stress linearly onto each time step, which partially filters out the wind stress variance in the near-inertial band. In this study, the influence of the linear interpolation on the near-inertial wind work and NIWs is quantified using an eddy-resolving (°) primitive equation ocean model. In addition, a new interpolation method is proposed—the sinc-function interpolation—that overcomes the shortages of the linear interpolation.It is found that the linear interpolation of 6-hourly winds significantly underestimates the near-inertial wind work and NIWs at the midlatitudes. The underestimation of the near-inertial wind work and near-inertial kinetic energy is proportional to the loss of near-inertial wind stress variance due to the linear interpolation. This further weakens the diapycnal mixing in the ocean due to the reduced near-inertial shear variance. Compared to the linear interpolation, the sinc-function interpolation retains all the wind stress variance in the near-inertial band and yields correct magnitudes for the near-inertial wind work and NIWs at the midlatitudes.

Near-Inertial Waves on the New England Shelf: The Role of Evolving Stratification, Turbulent Dissipation, and Bottom Drag

2005 ◽  
Vol 35 (12) ◽  
pp. 2408-2424 ◽  
Author(s):  
J. A. MacKinnon ◽  
M. C. Gregg
Keyword(s):  
New England ◽  
Internal Waves ◽  
Wind Stress ◽  
Surface Wind ◽  
Inertial Waves ◽  
Transfer Energy ◽  
Turbulent Dissipation ◽  
Bottom Stress ◽  
Surface Warming ◽  
Mode 2

Abstract Energetic variable near-inertial internal waves were observed on the springtime New England shelf as part of the Coastal Mixing and Optics (CMO) project. Surface warming and freshwater advection tripled the average stratification during a 3-week observational period in April/May 1997. The wave field was dominated by near-inertial internal waves generated by passing storms. Wave evolution was controlled by a balance among wind stress, bottom drag, and turbulent dissipation. As the stratification evolved, the vertical structure of these near-inertial waves switched from mode 1 to mode 2 with associated changes in the magnitude and location of wave shear. The growth of mode-2 waves was attributable to a combination of changing wind stress forcing and a nonlinear coupling between the first and second vertical modes through quadratic bottom stress. To explore both forcing mechanisms, an open-ocean mixed layer model is adapted to the continental shelf. In this model, surface wind stress and bottom stress are distributed over the surface and bottom mixed layers and then projected onto orthogonal vertical modes. The model replicates the correct magnitude and evolving modal distribution of the internal waves and confirms that bottom stress can act to transfer energy between internal wave modes.

scholarly journals Interannual Variability of Winter Sea Levels Induced by Local Wind Stress in the Northeast Asian Marginal Seas: 1993–2017

2020 ◽  
Vol 8 (10) ◽  
pp. 774
Author(s):  
MyeongHee Han ◽  
SungHyun Nam ◽  
Yang-Ki Cho ◽  
Hyoun-Woo Kang ◽  
Kwang-Young Jeong ◽  
...  
Keyword(s):  
Interannual Variability ◽  
Sea Level ◽  
Wind Stress ◽  
Atmospheric Pressure ◽  
Local Wind ◽  
Sea Levels ◽  
Marginal Seas ◽  
Sea Level Anomalies ◽  
Northeast Asian ◽  
Soya Strait

The interannual variability of winter sea levels averaged over the northeast Asian marginal seas, consisting of the Yellow Sea, East China Sea, and the East Sea (ES), was investigated. The spatial-mean sea level in winter observed using satellite altimetry shows significant interannual variations with a long-term rising trend of 3.88 mm y−1 during 1993–2017, with relatively high (Period H) and low (Period L) sea level anomalies. These anomalies correlate with the patterns of the East Asian winter monsoon at interannual timescales. The atmospheric pressure difference between the Sea of Okhotsk (SO) and ES around the Soya Strait is large during Period H. Ekman transport increases due to enhanced southeastward wind stress and results in a horizontal mass convergence that yields positive sea level anomalies during Period H. In contrast, the wind-induced transport is enhanced in the southern ES rather than in the southern SO resulting in horizontal mass divergence and negative anomalies in the spatial-mean winter sea level during Period L. Our results highlight the important roles of local wind forcing and Ekman dynamics in inducing interannual winter sea level variability in the region indicating the high predictive ability of atmospheric pressure anomalies around the Soya Strait.

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