Database of Observations of the Internal Waves in the World Ocean

Epifanova, A. S.; Rybin, A. V.; Moiseenko, T. E.; Kurkina, O. E.; Kurkin, A. A.; Tyugin, Dmitry

doi:10.22449/1573-160x-2019-4-350-356

Cited by 4 publications

(5 citation statements)

References 12 publications

(13 reference statements)

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“…The sea shelf zone is characterized by the most significant variability of hydrophysical fields associated, among other things, with the impact of intense internal waves, transforming and breaking down over the continental slope [1]. Most observations of solitary internal waves also occur in coastal areas (see, for example, the atlas of internal wave observations [2]: https://lmnad.nntu.ru/ru/igwatlas_map/).…”

Section: Introductionmentioning

confidence: 99%

“…Mean wave height is 1.6 m, standard deviation of height is 1.12 m; the mean period is 12 minutes, the standard deviation is 7.4 minutes. Both distributions are well approximated by a theoretical log-normal distribution law with a probability density a is the value analyzed with the parameters µ = 0.27 m, σ = 0.63 for wave heights (H) and µ = 2.3 min, σ = 0.58 for periods (T).a bDistributions of the wave heights (a) and periods (b) and their approximations (dash line) by the log-normal distribution law(2)…”

mentioning

confidence: 99%

“…Comparison of distributions of the wave heights (a) and periods (b) with the log-normal ones (solid line), crosses denote real data Distributions of wave steepness (a) and wave slope angle amplitude (b), and their approximations (dash line) by the log-normal distribution law(2) …”

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confidence: 99%

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Probabilistic Characteristics of Intensive Short-Period Internal Waves in the Sea of Japan

Kokoulina¹,

Kurkina²,

Rouvinskaya³

et al. 2020

PhO

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Purpose. The paper is aimed at studying the regional features of the internal waves’ field in the Sea of Japan (the Peter the Great Bay) based on the field data, namely, determination of the internal waves’ statistical characteristics that can be used to predict possibility of generating the waves of extreme amplitudes. Methods and Results. The records of water temperature variability in the Peter the Great Bay (the depth at the point of measurements is 42 m) obtained for October 11 – 20, 2011 were used as the initial data. Sampling frequency of the records was 1 s that permitted to analyze the shape of the short-period internal waves. The data on the salinity vertical distribution near the measurement point was also used. The law of the power density spectrum decay (as applied to the studied record) is well described by the Garrett – Munk model for the Sea of Japan zone being under consideration. The calculated temporal series of density were applied for obtaining the basic statistical characteristics including the statistical moments. Besides, empirical distribution for such parameters as the wave heights, periods and steepness and the wave slope amplitude was approximated by the log-normal distribution law and analyzed. The expected wave heights were forecasted using the Poisson statistics. Conclusions. It is shown that the probabilistic characteristics of the internal waves are described well by the log-normal distribution. Based on repeatability of the internal waves’ heights, probability of appearance of intensive disturbances is estimated. It is shown that within 10 days, occurrence of a short-period wave with the height not less than 7 m is guaranteed at the observation point at the 42 m depth. Keywords intensive internal waves, in situ data, probabilistic characteristics of extreme waves, shelf, Sea of Japan.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Probabilistic Characteristics of Intensive Short-Period Internal Waves in the Sea of Japan

Kokoulina¹,

Kurkina²,

Rouvinskaya³

et al. 2020

PhO

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“…The Pacific Ocean margins near the Kamchatka Peninsula are characterized by a small shelf width, a strong bottom slope and a complex hydrological structure of waters formed under the Kamchatka Current influence [4]. Another feature of this water area is also internal waves, the manifestations of which on the sea surface are recorded by remote sensing methods [5,6]. A generalization of satellite and contact observations revealed a complex picture of SIWs interacting with each other and with the meanders of the Kamchatka Current near the Kamchatka Peninsula ocean coast [1].…”

Section: Introductionmentioning

confidence: 99%

“…Comparison of the records of temperature fluctuations of the shallow-water polygon and the tidal currents from September 13 to 28, 2018: a -graph of module and direction of the tidal currents; b -temporal frameworks of the temperature fluctuations records (above) and their fragments illustrating the trains of distinctly pronounced and intense SIWs (below). Thin frames show the records of temperature fluctuations (the time axis coincides with the chart of tidal currents), bold frames(1,2,5,6,8) -the moments of recording the SIWs trains, bold frames with grey fill (3, 4, 7)the moments of recording the intense internal wave trains…”

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confidence: 99%

Characteristics of Short-Period Internal Waves in the Avacha Bay Based on the In Situ and Satellite Observations in August-September, 2018

Svergun

Zimin

2020

PhO

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Purpose. The paper is aimed at evaluating the characteristics of short-period internal waves in different regions of the Avacha Bay in the Рacific Ocean concerning their hydrological and morphometric conditions. Methods and Results. The characteristics of internal waves are assessed through synthesizing the results of the in situ studies in the Avacha Bay in August-September, 2018, the high-resolution remote sensing data and the results of tidal modeling. The data of the in situ and satellite observations of internal waves were also directly compared. The results show that in the shallow part of the Avacha Bay, the waves, whose heights are from 10 to 15 m were observed. They constitute 10 % of the total number of cases. In the deep-water part of the bay, the internal waves are also often observed, but their maximum height does not exceed 10 m. The satellite images show 72 manifestations of short-period internal waves. Some of them spread to the coast with a tidal frequency from the generation source located around the 500 m isobath where the bottom abruptly slows down. Conclusions. The results of the investigation revealed a pronounced relationship between the wave trains recorded in the shallow-water area and the semidiurnal tidal dynamics. Analysis of the hydrological situation and the satellite images permitted to assume that the internal waves could be generated as a result of not only a barotropic tide collapse, but also due to the inertial oscillations of the frontal zone formed by the Kamchatka current meanders in the presence of a shallow sharpened pycnocline. Having been analyzed, the synchronous satellite and in situ observations made it possible to find out that the internal waves of the 5–8 m height were distinctly manifested on the sea surface in case the pycnocline depth was 10–20 m.

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The Close Relationship between Internal Wave and Ocean Free Surface Wave

Chen¹,

Huang²

2021

JMSE

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A numerical model was used to simulate the propagation of internal waves (IW) along the surface layer. The results show that strong water exchange during IW propagation results in strong free surface flow and produces small but distinct free surface waves. We found a close relationship between the internal and ocean surface waves. Our intuitive reaction is that by training the relationship between the water surface wave height and the internal wave waveform, the internal wave waveform can be reversed from the water surface wave height value. This paper intends to validate our intuition. The artificial neural network (ANN) method was used to train the Fluent simulated results, and then the trained ANN model was used to predict the inner waves below by the free surface wave signal. In addition, two linear internal wave equations (I and II) were derived, one based on the Archimedes principle and the other based on the long wave and Boussinesq approximation. The prediction by equation (II) was superior to the prediction of equation (I), which is independent of depth. The predicted IW of the proposed ANN method was in good agreement with the simulated results, and the predicted quality was much better than the two linear wave formulas. The proposed simple method can help researchers infer the magnitude of IW from the free surface wave signal. In the future, the spatial distribution of IW below the sea surface might be obtained by the proposed method without costly field investigation.

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Database of Observations of the Internal Waves in the World Ocean

Cited by 4 publications

References 12 publications

Probabilistic Characteristics of Intensive Short-Period Internal Waves in the Sea of Japan

Probabilistic Characteristics of Intensive Short-Period Internal Waves in the Sea of Japan

Characteristics of Short-Period Internal Waves in the Avacha Bay Based on the In Situ and Satellite Observations in August-September, 2018

The Close Relationship between Internal Wave and Ocean Free Surface Wave

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