Analysis of the relation between ocean internal wave parameters and ocean surface fluctuation

Yufei ZHANG , Bing DENG , Ming ZHANG

Front. Earth Sci. ›› 2019, Vol. 13 ›› Issue (2) : 336 -350.

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Front. Earth Sci. ›› 2019, Vol. 13 ›› Issue (2) : 336 -350. DOI: 10.1007/s11707-018-0735-7
RESEARCH ARTICLE
RESEARCH ARTICLE

Analysis of the relation between ocean internal wave parameters and ocean surface fluctuation

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Abstract

The relation between ocean internal waves (IWs) and surface fluctuation is studied using a quasi-incompressible two-dimensional linear ocean wave model. The main conclusions are as follows: the IW parameters can be obtained by solving the boundary value problem of ordinary differential equations with the frequency, wave number, and amplitude of the surface fluctuation. When the ocean surface fluctuation state is given, the ocean IW presents a different structure, i.e., the uncertainty of the solution, which reflects the characteristics of the inverse problem. To obtain a definite solution, this study proposes constraint conditions for the inverse problem, namely, the relationship among background flow, buoyancy frequency, sea surface height, and geostrophic parameters. The necessary and sufficient conditions for the existence of IWs and external waves (surface wave) can be obtained according to the different constraint conditions. The amplitude of the surface fluctuation is positively correlated with IWs, and they share the same frequency and wave number. We also examined the relationship between the vertical structure, the maximum amplitude, and the constraint conditions. For a certain wave number, when the ocean environment is defined, the natural frequency (characteristic frequency) of IWs can be obtained. If the frequency of the surface fluctuation is similar or equal to the natural frequency, the resonance phenomenon will occur and can result in very strong IWs. The presented theory can serve as a basis for the analytical estimation of IWs.

Keywords

constraint condition / surface fluctuation / internal wave / inverse problem

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Yufei ZHANG, Bing DENG, Ming ZHANG. Analysis of the relation between ocean internal wave parameters and ocean surface fluctuation. Front. Earth Sci., 2019, 13(2): 336-350 DOI:10.1007/s11707-018-0735-7

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References

[1]

Alford M H, Peacock T, MacKinnon J A, Nash J D, Buijsman M C, Centurioni L R, Chao S Y, Chang M H, Farmer D M, Fringer O B, Fu K H, Gallacher P C, Graber H C, Helfrich K R, Jachec S M, Jackson C R, Klymak J M, Ko D S, Jan S, Johnston T M S, Legg S, Lee I H, Lien R C, Mercier M J, Moum J N, Musgrave R, Park J H, Pickering A I, Pinkel R, Rainville L, Ramp S R, Rudnick D L, Sarkar S, Scotti A, Simmons H L, St Laurent L C, Venayagamoorthy S K, Wang Y H, Wang J, Yang Y J, Paluszkiewicz T, (David) Tang T Y (2015). The formation and fate of internal waves in the South China Sea. Nature, 521: 65–69 doi:10.1038/nature14399

[2]

Alpers W (1985). Theory of radar imaging of internal waves. Nature, 314(6008): 245–247

[3]

Brandt P, Romeiser R, Rubino A (1999). On the determination of characteristics of the interior ocean dynamics from radar signatures of internal solitary waves. J Geophys Res Oceans, 104(C12): 30039–30045

[4]

Chen B F, Huang Y J, Chen B, Tsai S Y (2016). Surface wave disturbance during internal wave propagation over various types of sea. Ocean Eng, 125: 214–225

[5]

Da Silva J C, Buijsman M C, Magalhaes J M (2015). Internal waves on the upstream side of a large sill of the Mascarene Ridge: a comprehensive view of their generation mechanisms and evolution. Deep Sea Res Part I Oceanogr Res Pap, 99: 87–104

[6]

Deng B, Zhang M (2006). Spectrum and spectral function analysis of wave in ocean Part I mathematic model and numerical method. Journal of Hydrodynamics (Ser. A), 21(2): 259–266 (in Chinese)

[7]

Deng B, Zhang X, Zhang M (2014). Calculation and analysis of vertical structure of internal wave in background current. Advances in Marine Science, 32(2): 121–130 (in Chinese)

[8]

Deng B, Zhang Y F, Zhang M (2017). Numerical experiments of oceanic internal wave evolution. Advances in Marine Science, 35(1): 62–72 (in Chinese)

[9]

Deng B, Zhang Y F, Zhu J (2016). Theoretical analysis on the stream structure and propagation of unstable ocean internal wave at background shear flow. Marine Forecasts, 33(3): 1–8 (in Chinese)

[10]

Fan K G, Fu B, Gu Y Z, Yu X, Liu T, Shi A, Xu K, Gan X (2015). Internal wave parameters retrieval from space-borne SAR image. Front Earth Sci, 9(4): 700–708

[11]

Fan K G, Huang W G, Gan X L (2010). Retrieving internal wave surface currents from SAR image. Journal of Remote Sensing, 14(1): 122–130

[12]

Fan Z S (2002). Research Fundamentals of Ocean Interior Mixing. Beijing: Maritime Press,1–3 (in Chinese)

[13]

Feng S Z (1999). An Introduction to Marine Science. Beijing: Higher Education Press, 1–4 (in Chinese)

[14]

Guo C, Chen X (2014). A review of internal solitary wave dynamics in the northern South China Sea. Prog Oceanogr, 121: 7–23

[15]

Li Q (2014). Numerical assessment of factors affecting nonlinear internal waves in the South China Sea. Prog Oceanogr, 121(2): 24–43

[16]

Li X, Clemente C P, Friedman K S (2000). Estimating oceanic mixed-layer depth from internal wave evolution from radar sat-1 SAR. Johns Hopkins APL Tech Dig, 21: 130–135

[17]

Liu A K, Chang Y S, Hsu M K, Liang N K (1998). Evolution of nonlinear internal waves in the East and South China Seas. J Geophys Res Oceans, 103(C4): 7995–8008

[18]

Muacho S, Da Silva J C B, Brotas V, Oliveira P B, Magalhaes J M (2014). Chlorophyll enhancement in the central region of the Bay of Biscay as a result of internal tidal wave interaction. J Mar Syst, 136(0): 22–30

[19]

Porter D L, Thompson D R (1999). Continental shelf parameters inferred from SAR internal wave observation. J Atmos Ocean Technol, 16(4): 475–487

[20]

Wei G, Le J C, Dai S Q (2003). Surface effects of internal wave generated by a moving source in a two-layer fluid of finite depth. Appl Math Mech, 24(9): 906–918

[21]

Xu Z H, Liu K, Yin B, Zhao Z, Wang Y, Li Q (2016). Long-range propagation and associated variability of internal tides in the South China Sea. J Geophys Res Oceans, 121(11): 8268–8286

[22]

Xu Z T (1999). Dynamics of Ocean Internal Wave. Beijing: Science Press, 1‒5 (in Chinese)

[23]

Yang Q, Zhao W, Liang X, Tian J (2016). Three-dimensional distribution of turbulent mixing in the South China Sea. J Phys Oceanogr, 46(3): 769–788

[24]

Yuan Y L, Han L, Qiao F L, Yang Y, Lu M (2011). A unified linear theory of wavelike perturbations under general ocean conditions. DynAtmos Oceans, 51(1): 55–74

[25]

Zeng K (2002). Three Aspects of Studying Oceanic Internal Wave by Space-Borne Synthetic Aperture Radar Images. Dissertation for Ph.D Degree. Qingdao: Chinese Marine University, 43–58 (in Chinese)

[26]

Zhang G R, Zhang J (2009). Ocean Internal Waves and Their Impacts on Naval Warfare. Beijing: China Meteorological Press, 25–29 (in Chinese)

[27]

Zhang X, Deng B, Zhang M (2007). Analysis of continuous spectrum wave packet in rotational-stratification two-dimension ocean. Journal of Tropical Oceanography, 26(6): 7–13 (in Chinese)

[28]

Zhang X, Deng B, Zhang M (2012). Preliminary study of background current and topography effects on ocean internal wave. Marine Forecasts, 29(3): 26–35 (in Chinese)

[29]

Zong J S, Ou Y Y (2011). Ocean Internal Wave Detection with Synthetic Aperture Radar Image. Beijing: Maritime Press, 4–12 (in Chinese)

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