Temporal and spatial variations in three-dimensional seismic oceanography

Zou, Zheguang; Rad, Parsa Bakhtiari; Macelloni, Leonardo; Zhang, Likun

doi:10.5194/os-17-1053-2021

Cited by 6 publications

(3 citation statements)

References 32 publications

(53 reference statements)

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“…surveys are known as three-dimensional; Blacic and Holbrook, 2010;Bakhtiari Rad and Macelloni, 2020;Zou et al, 2021).…”

Section: Use Of Existing Datasetsmentioning

confidence: 99%

The Next Decade of Seismic Oceanography: Possibilities, Challenges and Solutions

Dickinson

Gunn²

2022

Front. Mar. Sci.

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Seismic reflection profiling of thermohaline structure has the potential to transform our understanding of oceanic mixing and circulation. This profiling, which is known as seismic oceanography, yields acoustic images that extend from the sea surface to the sea bed and which span horizontal distances of hundreds of kilometers. Changes in temperature and salinity are detected in two, and sometimes three, dimensions at spatial resolutions of ~O(10) m. Due to its unique combination of extensive coverage and high spatial resolution, seismic oceanography is ideally placed to characterize the processes that sustain oceanic circulation by transferring energy between basin-scale currents and turbulent flow. To date, more than one hundred research papers have exploited seismic oceanographic data to gain insight into phenomena as varied as eddy formation, internal waves, and turbulent mixing. However, despite its promise, seismic oceanography suffers from three practical disadvantages that have slowed its development into a widely accepted tool. First, acquisition of high-quality data is expensive and logistically challenging. Second, it has proven difficult to obtain independent observational constraints that can be used to benchmark seismic oceanographic results. Third, computational workflows have not been standardized and made widely available. In addition to these practical challenges, the field has struggled to identify pressing scientific questions that it can systematically address. It thus remains a curiosity to many oceanographers. We suggest ways in which the practical challenges can be addressed through development of shared resources, and outline how these resources can be used to tackle important problems in physical oceanography. With this collaborative approach, seismic oceanography can become a key member of the next generation of methods for observing the ocean.

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“…surveys are known as three-dimensional; Blacic and Holbrook, 2010;Bakhtiari Rad and Macelloni, 2020;Zou et al, 2021).…”

Section: Use Of Existing Datasetsmentioning

confidence: 99%

The Next Decade of Seismic Oceanography: Possibilities, Challenges and Solutions

Dickinson

Gunn²

2022

Front. Mar. Sci.

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“…Seismic oceanography (Holbrook et al, 2003) has been applied to study various oceanographic phenomena, including fronts (Holbrook et al, 2003;Tsuji et al, 2005), water mass boundaries (Nandi et al, 2004), mesoscale eddies (Biescas et al, 2008;Meńesguen et al, 2009;Song et al, 2009;Pinheiro et al, 2010;Quentel et al, 2010;Tang et al, 2014), internal waves (Holbrook and Fer, 2005;Krahmann et al, 2008;Song et al, 2009;Song et al, 2021b), submesoscale processes (Sallares et al, 2016;Tang et al, 2020;Yang et al, 2021), and seafloor processes (Vsemironva et al, 2012;Chen et al, 2016;Chen et al, 2017;Chen et al, 2018;Geng et al, 2019;Yin et al, 2021). More recently, seismic reflection studies have now been used to look at the evolution of marine processes over time (Dickinson et al, 2020;Gunn et al, 2020;Zou et al, 2021;Dickinson and Gunn, 2022). Seismic oceanography has been used to preliminarily analyze some significant images of fluid-solid interactions near the seafloor, such as submarine sand waves induced hair-like reflection configuration (Chen et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Research on the fluid dynamics interaction between submarine sand waves and seawater by seismic oceanography

Han

Chen

et al. 2023

Front. Mar. Sci.

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IntroductionThe seafloor is an important interface between the lithosphere and the hydrosphere, where processes related to circulation and energy exchange happen along with various marine processes widely developed in the water column near the seafloor. These processes are still not yet completely understood as there are constraints of submarine detection technology and the interdisciplinary nature of these complex environments. Seismic reflection data have been a preferable tool to study and image these processes due to their characteristics in terms of spatial resolution. In seismic reflection data, submarine sand waves show hair-like reflection configurations with low continuity and wearing-hair style, appearing with an angle with the seafloor. Investigation of the relationship between the characteristics of submarine sand waves induced hair-like reflection configuration and hydrodynamics is crucial for understanding hair-like reflection configuration generation and spatiotemporal evolution. MethodsThis study combines fluid dynamics numerical simulation and seismic oceanography to discuss the seismic response characteristics and formation mechanisms of the hair-like reflection configuration. First, we create a seawater time-variant fluid-dynamical model followed by the numerical simulation of seismic oceanography data. This procedure results in seismic oceanography numerical simulation sections with hair-like reflection configurations for different constant flow conditions forced on the boundary. Optimal matching method is then applied to interpret field seismic reflection sections given the results obtained with the numerical experiments. Results and discussionAs consequence, the fluid dynamic explanation for the formation mechanism of the hair-like reflection configuration due to differences in seawater thermohaline is proposed. The study provides additional comprehension and further insights into the dynamic process of submarine sand waves induced hair-like reflection configuration using the seismic oceanography method.

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“…With the development of seismic oceanography (Holbrook et al, 2003), seismic reflection surveying has been applied to study various oceanographic phenomena including fronts (Holbrook et al, 2003;Tsuji et al, 2005), water mass boundaries (Nandi et al, 2004), mesoscale eddies (Pinheiro et al, 2010), internal waves (Holbrook and Fer, 2005;Bai et al, 2017), the Mediterranean undercurrent (Buffett et al, 2009;Biescas et al, 2010), and submesoscale processes (Sallarès et al, 2016;Tang et al, 2020). More recently, seismic reflection studies have now been used to look at the evolution of oceanic processes over time (Dickinson et al, 2020;Gunn et al, 2020;Zou et al, 2021). This method has high spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

Observations of Internal Structure Changes in Shoaling Internal Solitary Waves Based on Seismic Oceanography Method

et al. 2021

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High spatial resolution and deep detection depths of seismic reflection surveying are conducive to studying the fine structure of the internal solitary wave. However, seismic images are instantaneous, which are not conducive to observing kinematic processes of the internal solitary waves. We improved the scheme of seismic data processing and used common-offset gathers to continuously image the same location. In this way, we can observe internal fine structure changes during the movement of the internal solitary waves, especially the part in contact with the seafloor. We observed a first-mode depression internal solitary wave on the continental slope near the Dongsha Atoll of the South China Sea and short-term shoaling processes of the internal solitary wave by using our improved method. We found that the change in shape of waveform varies at different depths. We separately analyzed the evolution of the six waveforms at different depths. The results showed that the waveform in deep water deforms before that in shallow water and the waveform in shallow water deforms to a greater degree. We measured four parameters of the six waveforms during the shoaling including phase velocity, amplitude, wavelength, and slopes of leading and trailing edge. The phase velocity and amplitudes of waveforms in shallow water increase, the wavelengths decrease, and the slopes of trailing edge gradually become larger than that of the leading edge, while the amplitudes of the deep water waveforms do not change significantly and the phase velocities decrease. Our results are consistent with previous studies made by numerical simulations, which suggest the effectiveness of the new processing scheme. This improved scheme cannot only study the internal solitary waves shoaling, but also has great potential in the study of other ocean dynamics.

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Temporal and spatial variations in three-dimensional seismic oceanography

Cited by 6 publications

References 32 publications

The Next Decade of Seismic Oceanography: Possibilities, Challenges and Solutions

The Next Decade of Seismic Oceanography: Possibilities, Challenges and Solutions

Research on the fluid dynamics interaction between submarine sand waves and seawater by seismic oceanography

Observations of Internal Structure Changes in Shoaling Internal Solitary Waves Based on Seismic Oceanography Method

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