Progress and prospects of seismic oceanography

Song, Haibin; Chen, Jiangxin; Pinheiro, Luís Menezes; Ruddick, Barry; Fan, Wenhao; Gong, Yi; Zhang, Kun

doi:10.1016/j.dsr.2021.103631

Cited by 14 publications

(15 citation statements)

References 88 publications

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“…Seismic oceanography can provide high lateral resolution images (Song et al., 2021) and has unique advantages in detecting the fine structure of eddy edges and surrounding areas (Biescas et al., 2008; Song et al., 2011). In this study, a variety of reflection structures were observed on the edges of eddies and the surrounding area on the seismic images (Figures 4a, 4d, 5a, and 5d), these include imbricate reflections (Figure 5a), layered reflections (Figures 4a, 4d, and 5a), listric reflections (Figure 4d), and chaotic reflections (Figure 5d).…”

Section: Discussionmentioning

confidence: 99%

“…A seismic wave traveling in a heterogeneous media encounters interfaces between adjacent water layers with different acoustic impedances (the product of density and sound speed) and will be reflected to the surface and be recorded by hydrophones. The seismograms recorded in different hydrophones are then processed to generate laterally coherent images of different reflecting discontinuities, whose amplitude is proportional to the acoustic reflection coefficient (a function of the acoustic impedance of adjacent water layers, which can be related to temperature, salinity, and pressure through the seawater state equation) of the water layer (Holbrook et al., 2003; Ruddick et al., 2009; Sallarès et al., 2009; Song et al., 2021). A typical seismic reflection section is acquired at a ship speed of 4–5 knots (7.5–9.25 km/hr).…”

Section: Introductionmentioning

confidence: 99%

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Investigating Eddies From Coincident Seismic and Hydrographic Measurements in the Chukchi Borderlands, the Western Arctic Ocean

et al. 2022

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Halocline eddies transport mass and energy across the Arctic Ocean. Seismic oceanography uses multichannel seismic reflection (MCS) data to create high resolution images of the water column, revealing oceanic fine structures. In this paper, we present water column images processed from MCS data acquired during cruise MGL1112 on the Chukchi Borderlands in the western Arctic Ocean. Combined with along‐track images of current velocities measured during MCS acquisition by a hull‐mounted acoustic Doppler current profilers, a total of 23 mesoscale eddies were detected, of which 19 are anticyclonic, and 4 are cyclonic. They correspond to the lentoid and mounded reflections on the seismic images, respectively. These shallow eddies are constrained by the halocline and occur in regions with rugged seafloor. The geometric parameters of these eddies were estimated from the underway data collected during MGL1112. These parameters could be valuable for modeling 3D eddy structures and validating high‐resolution climate projection models. Expendable Bathythermography (XBT) profiles of water temperature and sound speed versus depth were collected during this ruise. Three of the 24 XBT stations sampled eddies opportunely, we found one was warm‐core and two were cold‐core anticyclonic eddies combined with historical conductivity‐temperature‐depth data. The cores of these eddies might be made up of Pacific water. We synthesized the MCS records with coincident and historical hydrographic data which permitted distinctions between the seismic responses of the eddies. Distinctive reflection structures are observed around the eddy core (e.g., chaotic, imbricate, layered, and listric reflections), which could constrain stirring and mixing process of the eddies. These results are useful for better understanding the structure and evolution of the eddies on the Chukchi Borderlands and better understanding regional mass and energy transport processes in the western Arctic Ocean.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Investigating Eddies From Coincident Seismic and Hydrographic Measurements in the Chukchi Borderlands, the Western Arctic Ocean

et al. 2022

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“…The wavelength of the mode-2 ISW is usually defined as the half-width at half-amplitude of the ISW (Carr et al, 2015;Stamp and Jacka, 1995), as shown by λ in Fig. 2.…”

Section: Methodsmentioning

confidence: 99%

“…Conventional physical oceanography observation and remote-sensing observation have their limitations: the horizontal resolution of conventional physical oceanography observation methods (such as mooring) is low and satellite remote sensing cannot see the ocean interior. Seismic oceanography (Holbrook et al, 2003;Ruddick et al, 2009;Song et al, 2021), as a new oceanography survey method, has high spatial resolution (vertical and horizontal resolution can reach about 10 m). It can better describe the spatial structure and related characteristics of mesoscale and small-scale phenomena in the ocean (Biescas et al, 2008(Biescas et al, , 2010Fer et al, 2010;Holbrook and Fer, 2005;Holbrook et al, 2013;Pinheiro et al, 2010;Sallares et al, 2016;Sheen et al, 2009;Tsuji et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…The wave tail appears similar to a Kelvin-Helmholtz (KH) instability billow and the wave core appears as small-scale overturning motions (Carr et al, 2015;Cheng et al, 2018). Regarding the propagation speed of the mode-2 ISW, through simulation experiments, scholars found that it increases with increasing amplitude (Maxworthy, 1983;Salloum et al, 2012;Stamp and Jacka, 1995;Terez and Knio, 1998). Brandt and Shipley (2014) simulated the material transport of mode-2 ISWs with large amplitude in the laboratory.…”

Section: Introductionmentioning

confidence: 99%

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Regional study of mode-2 internal solitary waves at the Pacific coast of Central America using marine seismic survey data

Fan

Song

Gong

et al. 2022

Nonlin. Processes Geophys.

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Abstract. In this paper, a regional study of mode-2 internal solitary waves (ISWs) at the Pacific coast of Central America is carried out using the seismic reflection method. The observed relationship between the dimensionless propagation speed and the dimensionless amplitude (DA) of the mode-2 ISW is analyzed. When DA < 1.18, the dimensionless propagation speed seems to increase with increasing DA, divided into two parts with different growth rates. When DA > 1.18, the dimensionless propagation speed increases with increasing DA at a relatively small growth rate. We suggest that the influences of seawater depth (submarine topography), pycnocline depth, and pycnocline thickness on the propagation speed of the mode-2 ISW in the study area cause the relationship between dimensionless propagation speed and DA to diversify. The observed relationship between the dimensionless wavelength and the DA of the mode-2 ISW is also analyzed. When DA < 1, the nondimensional wavelengths seem to change from 2.5 to 7 for a fixed nondimensional amplitude. When DA > 1.87, the dimensionless wavelength increases with increasing DA. Additionally, the seawater depth has a great influence on the wavelength of the mode-2 ISW in the study area. Overall, the wavelength increases with increasing seawater depth. As for the vertical structure of the amplitude of the mode-2 ISW in the study area, we find that it is affected by the nonlinearity of the ISW and the pycnocline deviation (especially the downward pycnocline deviation).

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High resolution seafloor thermometry for internal wave and upwelling monitoring using Distributed Acoustic Sensing

Quiñones

Sladen

Ponte

et al. 2023

Preprint

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Progress and prospects of seismic oceanography

Cited by 14 publications

References 88 publications

Investigating Eddies From Coincident Seismic and Hydrographic Measurements in the Chukchi Borderlands, the Western Arctic Ocean

Investigating Eddies From Coincident Seismic and Hydrographic Measurements in the Chukchi Borderlands, the Western Arctic Ocean

Regional study of mode-2 internal solitary waves at the Pacific coast of Central America using marine seismic survey data

High resolution seafloor thermometry for internal wave and upwelling monitoring using Distributed Acoustic Sensing

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