A shallow prominent reflector in seawater identified using the seismic oceanographic method off the east coast of the Noto Peninsula, Japan Sea

We conducted a seawater imaging study using multichannel seismic reflection (MCS) data acquired off the eastern coast of the Noto Peninsula in the Japan Sea following the 2024 Noto Peninsula earthquake ( M J 7.6). A shallow prominent reflector (SPR) was identified within the water column of the Toyama Trough. The SPR exhibited significant spatial variations, appearing as a continuous, high-amplitude reflection in select areas while appearing weak and discontinuous in others. To investigate the mechanisms underlying the formation of this reflector, we compared MCS images with concurrently collected conductivity, temperature, and depth (CTD) data. The results suggest that the SPR was generated by a notable change in the acoustic impedance associated with a high vertical density gradient within the pycnocline, which functions as a transition layer between the surface mixed layer and the underlying Japan Sea Proper Water. We conclude that the spatial variations in the characteristics of the SPR could be controlled primarily by changes in the thickness of the surface mixed layer driven by wind-induced mixing, eventually affecting the magnitude of the vertical density gradient. These findings demonstrate the potential of MCS data for visualizing upper-ocean stratification and mixed-layer variability in the Japan Sea.

Authors

Institutions

Publication Details

Journal
Earth Planets and Space
Published
2026-11-04
DOI
https://doi.org/10.1186/s40623-026-02566-w
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A shallow prominent reflector in seawater identified using the seismic oceanographic method off the east coast of the Noto Peninsula, Japan Sea

Ayanori Misawa, Mariko Hatta, Tetsuo No, Hironori Otsuka et al.
Earth Planets and Space
Oceanographic and Atmospheric Processes
article

A shallow prominent reflector in seawater identified using the seismic oceanographic method off the east coast of the Noto Peninsula, Japan Sea

Ayanori Misawa, Mariko Hatta, Tetsuo No, Hironori Otsuka, Hitoshi Kaneko, Tomoharu Senjyu, Jin‐Oh Park
article en

Abstract

We conducted a seawater imaging study using multichannel seismic reflection (MCS) data acquired off the eastern coast of the Noto Peninsula in the Japan Sea following the 2024 Noto Peninsula earthquake ( M J 7.6). A shallow prominent reflector (SPR) was identified within the water column of the Toyama Trough. The SPR exhibited significant spatial variations, appearing as a continuous, high-amplitude reflection in select areas while appearing weak and discontinuous in others. To investigate the mechanisms underlying the formation of this reflector, we compared MCS images with concurrently collected conductivity, temperature, and depth (CTD) data. The results suggest that the SPR was generated by a notable change in the acoustic impedance associated with a high vertical density gradient within the pycnocline, which functions as a transition layer between the surface mixed layer and the underlying Japan Sea Proper Water. We conclude that the spatial variations in the characteristics of the SPR could be controlled primarily by changes in the thickness of the surface mixed layer driven by wind-induced mixing, eventually affecting the magnitude of the vertical density gradient. These findings demonstrate the potential of MCS data for visualizing upper-ocean stratification and mixed-layer variability in the Japan Sea.

Earth Planets and SpaceVol. 78(1)
Japan Agency for Marine-Earth Science and Technology (JP), Kyushu University (JP), Geological Survey of Japan (JP), Earthquake Research Institute, University of Tokyo (JP), Research Institute for Applied Mechanics, Kyushu University (JP), Atmosphere and Ocean Research Institute, The University of Tokyo (JP), The University of Tokyo (JP)
Openalex Percentile: Top 19%
Oceanographic and Atmospheric Processes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon