TY - JOUR
T1 - Sound speed of thermohaline fine structure in the Kuroshio Current inferred from automatic sound speed analysis
AU - Chhun, Chanmaly
AU - Tsuji, Takeshi
N1 - Funding Information:
We are grateful to N. Bangs, T. Shipley, S. Gulick, G. Moore and S. Kuramoto for their efforts with the acquisition of seismic data, and M. Kawabe for CTD data. We fully acknowledge the Marine Geoscience Data System (MGDS) for open access data (http://wwwudc.ig.utexas.edu/sdc/). We also would like to express our deep thanks to the associate editor and two anonymous reviewers for their constructive comments and suggestions which greatly improve this research paper.
Publisher Copyright:
© 2020 Australian Society of Exploration Geophysicists.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9/2
Y1 - 2020/9/2
N2 - Fine-scale thermohaline structure within ocean column can be mapped seismically in the Kuroshio Current, off the Muroto Peninsula of Shikoku Island, Japan. In this paper, we present the application of automatic sound speed picking analysis to the multi-channel seismic reflection data acquired in a different period to estimate time-lapse sound speed distribution across the Kuroshio Current. This method is based on an optimal velocity trajectory solving by the eikonal equation with a finite-difference algorithm. In contrast to the seismic inversion technique, this automatic analysis enables us to obtain contrast sound speed profiles without heavy dependency on sound speed or temperature data directly measured at discrete locations. As a result, this method can visualise sound speed profiles of fine-scale thermohaline structure developed at interleaving or diapycnal mixing processes of different water masses in the Kuroshio Current. The images of all profiles mapped from automatic sound speed analysis distinguish water masses and their fine-scale internal structure such as cold and warm water eddies, thermohaline staircases and internal waves revealing acoustic contrasts at interfaces across where sound speed and temperature change. Applying our approach for individual seismic line acquired in different time-steps for 3D seismic data can provide time–space variant images of fine-scale thermohaline structure for studies of oceanographic processes as well as large-scale ocean current and climate systems.
AB - Fine-scale thermohaline structure within ocean column can be mapped seismically in the Kuroshio Current, off the Muroto Peninsula of Shikoku Island, Japan. In this paper, we present the application of automatic sound speed picking analysis to the multi-channel seismic reflection data acquired in a different period to estimate time-lapse sound speed distribution across the Kuroshio Current. This method is based on an optimal velocity trajectory solving by the eikonal equation with a finite-difference algorithm. In contrast to the seismic inversion technique, this automatic analysis enables us to obtain contrast sound speed profiles without heavy dependency on sound speed or temperature data directly measured at discrete locations. As a result, this method can visualise sound speed profiles of fine-scale thermohaline structure developed at interleaving or diapycnal mixing processes of different water masses in the Kuroshio Current. The images of all profiles mapped from automatic sound speed analysis distinguish water masses and their fine-scale internal structure such as cold and warm water eddies, thermohaline staircases and internal waves revealing acoustic contrasts at interfaces across where sound speed and temperature change. Applying our approach for individual seismic line acquired in different time-steps for 3D seismic data can provide time–space variant images of fine-scale thermohaline structure for studies of oceanographic processes as well as large-scale ocean current and climate systems.
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U2 - 10.1080/08123985.2020.1736548
DO - 10.1080/08123985.2020.1736548
M3 - Article
AN - SCOPUS:85081731905
SN - 0071-3473
VL - 51
SP - 581
EP - 590
JO - Exploration Geophysics
JF - Exploration Geophysics
IS - 5
ER -