A recent study linked to a powerful earthquake near Russia’s Kamchatka Peninsula has provided a closer look at how tsunamis are initiated beneath the ocean’s surface. Using data from the SWOT (satellite) mission, researchers were able to detect microwave patterns that form near the earthquake source.
These signals hold clues about how the seafloor shifted during rupture. The results, published in the journal Science, suggest that space-based observations may fill the gaps left by traditional observing systems. Experts say this could reshape how tsunami risks are understood. It also points out that some important seismic processes near deep-ocean trenches have not been observed for years.
SWOT Reveal 2025 Kamchatka earthquake And its effect on tsunamis
As reported by the study published in the journal Science titled, SWOT detected a dispersal tsunami associated with a source near the trench in the 2025 Kamchatka earthquake, and the event in question was a magnitude 8.8 earthquake that struck near the Kamchatka Peninsula on July 29, 2025.
It generated a tsunami that traveled across the Pacific Ocean.What stands out is not only the strength of the earthquake, but the way scientists were able to monitor the effects of the earthquake. Conventional instruments recorded the main tsunami wave, but precise details near the source remained unclear. This gap is where satellite data begins to matter.
What SWOT was able to capture
As reported, about 70 minutes after the earthquake, SWOT passed close to the affected area and recorded the sea surface in two dimensions.
Its radar system measures elevation differences down to centimetres.The satellite not only detected the leading tsunami wave, but also a series of short-wavelength waves. These are often described as dispersive waves. Researchers from institutions such as San Diego State University and Scripps Institution of Oceanography worked alongside teams from DTU Space and the Pontifical Catholic University of Valparaiso to analyze the data.
Their combined efforts helped reconstruct the wave field in detail.
Understanding near-trench slip in subduction earthquakes
Earthquakes that occur near subduction trenches behave differently than those inland. In these areas, one tectonic plate slides under the other. A slide near the trench can suddenly shift the sea floor.This near-trench slip was detected indirectly through satellite observations. Scattered waves indicated rupture at shallow depths, said to be less than 10 kilometers below the seafloor, according to a study published in the journal Science.
It is difficult to monitor such areas using ground seismic networks. The instruments are simply too far or too far apart across the ocean.
Limitations of conventional tsunami sensors
Systems such as DART buoys still play an important role. They measure pressure changes in deep water and can track the height of a tsunami wave.In the Kamchatka event, several of these sensors recorded the leading tsunami wave. According to Phys.org, one of the buoys near the top was about 1.32 meters high from top to bottom.
However, they struggled to capture the precise wave structure. Shorter wavelength signals tend to be weaker at depth. The spacing between sensors also leaves large gaps in coverage. A large-scale SWOT survey allowed scholars to see patterns that would otherwise remain hidden.
What wave patterns reveal
The back wave train observed by SWOT holds important clues. Experts say these scattered waves could reflect how the fault is sliding along the trench.In this case, the signals indicated rupture across a specific section of the subduction zone, approximately between 49.5°N and 52.5°N along strike. Names such as Ignacio Sepulveda and Alice Gabriel have been associated with explaining these findings. Their comments suggest that these waveforms help improve tsunami generation models.
Why this is important for risk planning
Understanding how tsunamis form near their source is key to improving hazard models.
New satellite-based observations add a layer of detail that was previously missing.With clearer data, simulations can better reproduce real-world wave behavior. This may lead to improved forecasting tools and more reliable warning systems. Bjarke Nilsson, who contributed to the data processing efforts, noted that incorporating satellite inputs into modeling frameworks could support future risk assessments.