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Transoceanic propagation of the tsunami from 2025 Mw 8.8 Kamchatka Earthquake across the Pacific Ocean

  • Institut Teknologi Bandung
  • University of Tokyo

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Abstract

The July 2025 Mw 8.8 Kamchatka earthquake triggered a transoceanic tsunami across the Pacific Ocean, with noticeable wave heights and coastal oscillations observed as far away as Chile. We compiled a comprehensive observational dataset consisting of 40 high-quality deep-ocean buoys and 10 coastal tide gauges distributed along the Pacific margins. We applied three fault slip models developed by the USGS and employed a dedicated framework to calculate the tsunami generation process in a multi-layered elastic Earth. A reliable source model was identified by comparing its output with tsunami observations. Detailed waveform, spectral, and energy-distribution analyses for deep-ocean and coastal tsunami data were conducted. Spectral analyses indicate that tsunami energy is concentrated within a broad source period band of 8–128 min, with stations normal to the fault strike dominated by 8–42 min periods and those aligned with the fault strike dominated by 42–128 min periods. This broad spectral content enabled resonance with coastal basins of varying spatial scales, producing prolonged oscillations at Pacific tide gauges, while local bathymetric shielding strongly attenuated tsunami energy even in the near field. Overall, transoceanic tsunami behavior reflects the combined influence of source geometry, directional energy radiation, and region-dependent coastal morphology, explaining the spatially heterogeneous and long-lasting impacts observed across the Pacific Ocean.
Original languageEnglish
Article number125915
Number of pages12
JournalOcean Engineering
Volume359
Issue numberP2
Early online date9 May 2026
DOIs
Publication statusPublished - 30 Jun 2026

Bibliographical note

publishing OA

Data Availability Statement

The DART datasets analyzed in this study were obtained from
NOAA's publicly accessible DART database (https://nctr.pmel.noaa.
gov/Dart). The tide gauge datasets were obtained from IOC database
(https://www.ioc-sealevelmonitoring.org/index.php). Earthquake
source parameters were taken from the U.S. Geological Survey Earthquake Hazards Program (https://earthquake.usgs.gov/earthquakes/eve
ntpage/us6000qw60/executive). Tsunami simulations were carried out
using the JAGURS numerical package (Baba et al., 2015; https://doi.
org/10.5281/zenodo.6118212). Coseismic deformation in a layered
elastic medium was computed with the PSGRN/PSCMP package (Wang
et al., 2006; Wang and Fialko, 2018; https://pyrocko.org), with the
elastic structure defined by the Litho 1.0 Earth model (https://igppweb.
ucsd.edu/~gabi/litho1.0.html#:~:text=The%20LITHO1.,lithospheric
%20lid%20and%20underlying%20asthenosphere). Bathymetric data
were derived from the GEBCO 15 arc-sec global dataset (https://
download.gebco.net/). Tidal signals were removed using the UTide
MATLAB package (https://www.mathworks.com/matlabcentral/fil
eexchange/46523-utide-unified-tidal-analysis-and-prediction-funions). Power spectral density was estimated using the Welch (1967)
method as implemented in the SciPy Python library (https://scipy.org/).
All figures were produced using Python Matplotlib (https://matplotlib.
org/) and the Generic Mapping Tools (GMT) (https://www.generic
-mapping-tools.org/).

Acknowledgements

We acknowledge the University of Bath Institutional Open Access Fund.

Funding

GH was supported by the Marie Skłodowska-Curie Postdoctoral Fellowship funded by the European Union’s Horizon 2024 Research and Innovation Program, under Grant Agreement No. 101205704. MH is funded by The Great Britain Sasakawa Foundation (GBSF) grant number 6217 (year 2022) and the Hydro-Coast Consulting Engineers Ltd. (https://www.hydro-coast.com/). SW is supported by JSPS KAKENHI Grant Number JP24K00716. We acknowledge University of Bath Institutional Open Access Fund. IEM is funded by the ITB Research Program 2026 under ITB Flagship Research Scheme through the Directorate of Research and Innovation, Institut Teknologi Bandung (No 2235/IT1.B07.1/TA.00/2026).

Keywords

  • Pacific Ocean
  • The July 2025 Kamchatka earthquake
  • Tsunami
  • Transoceanic propagation
  • Hydrodynamics
  • Numerical modelling

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