Junichi Ninomiya

Dr. Junichi Ninomiya

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 July 2024 in Coastal Engineering Journal
Verified
Journal Article
Open access
MYMasatoshi Yuhi
Masatoshi Yuhi
SUShinya Umeda
Shinya Umeda
MAMamoru Arita
Mamoru Arita
JNJunichi Ninomiya
Junichi Ninomiya
HGHideomi Gokon
Hideomi Gokon
NMNobuhito Mori
Nobuhito Mori

17 July 2024 in Scientific Data
Verified
Journal Article
Open access
PDF file
MYMasatoshi Yuhi
Masatoshi Yuhi
SUShinya Umeda
Shinya Umeda
MAMamoru Arita
Mamoru Arita
JNJunichi Ninomiya
Junichi Ninomiya
HGHideomi Gokon
Hideomi Gokon
NMNobuhito Mori
Nobuhito Mori
An earthquake with a moment magnitude of 7.5 (Mw) struck the northern Noto Peninsula, Ishikawa Prefecture, Japan, at 16:10 local time on January 1, 2024. This earthquake triggered a tsunami that propagated along the coastline of Ishikawa, Toyama, and Niigata Prefectures facing the Sea of Japan and significantly damaged coastal communities and infrastructure. Approximately 70 researchers from 23 universities or other institutes throughout Japan formed a joint research group to conduct a post-tsunami survey along a 340 km stretch of the coast. Based on the watermarks and traces of the tsunami, the inundation and run-up heights were surveyed using total stations, automatic optical levels, laser range finders, and a real-time kinematic (RTK) Global Navigation Satellite System (GNSS). The tidal correction was adjusted using astronomical tidal tables. In total, 303 survey records have been compiled, generating the NP2024TS (Noto Peninsula 2024 Tsunami Survey) dataset. This dataset provides comprehensive information on the inundation and run-up heights of the tsunami, which is useful for understanding tsunami characteristics and validating numerical tsunami models.

1 February 2021 in Climatic Change
Verified
Journal Article
Closed access
PDF file
NMNobuhito Mori
Nobuhito Mori
NANozomi Ariyoshi
Nozomi Ariyoshi
TSTomoya Shimura
Tomoya Shimura
TMTakuya Miyashita
Takuya Miyashita
JNJunichi Ninomiya
Junichi Ninomiya

1 October 2021 in Ocean Engineering
Verified
Journal Article
Open access
JNJunichi Ninomiya
Junichi Ninomiya
YTYuya Taka
Yuya Taka
NMNobuhito Mori
Nobuhito Mori

25 August 2025 in Coastal Engineering Journal
Verified
Journal Article
Open access
KFKeisuke Futagi
Keisuke Futagi
MYMasatoshi Yuhi
Masatoshi Yuhi
MAMamoru Arita
Mamoru Arita
SUShinya Umeda
Shinya Umeda
JNJunichi Ninomiya
Junichi Ninomiya
THTsuyoshi Haraguchi
Tsuyoshi Haraguchi

2 January 2022 in Coastal Engineering Journal
Verified
Journal Article
Closed access
MTMasashi Takagi
Masashi Takagi
JNJunichi Ninomiya
Junichi Ninomiya
NMNobuhito Mori
Nobuhito Mori
TSTomoya Shimura
Tomoya Shimura
TMTakuya Miyashita
Takuya Miyashita
The parameterization of the sea surface turbulent kinetic energy (TKE) flux due to wave breaking was revisited using the observed data. It is found that the fraction of wave energy taken up into the ocean as sea surface TKE flux depends on the relative angle between wind and wave direction. The fraction tends to be larger under opposite wind conditions than following wind conditions. Based on the observed results, a new parameterization of TKE flux was proposed. The TKE flux parameterization was implemented into the atmosphere-ocean-wave coupled model. The experiments on typhoon hindcast using the model showed that TKE flux affects weak mixing at the ocean surface, strong mixing at the bottom of the mixed layer, and near-inertial internal waves depending on the thickness of the mixed layer depth (MLD). In the coupled atmosphere-ocean-wave model, the effects of these mixing differences are also fed back to the atmospheric side; the maximum difference in the central pressure of the typhoon depending on TKE flux parameterization is 10 hPa. The results of this study suggest the importance of considering waves in the sea surface TKE flux for typhoon simulations.