When a major earthquake hit the Kuril-Kamchatka area on July 29, 2025, it triggered not just massive waves, but also a unique opportunity for scientists. The NASA and French space agency’s SWOT satellite happened to be in position and managed to capture images of the tsunami as it spread across the Pacific, providing a chance to rethink how we understand these natural disasters.
Unlike typical tsunami patterns, which appear as a straightforward crest moving forward, the SWOT images revealed a tangled web of waves. This suggests that our current scientific models, which predict tsunami behavior based on the assumption that the largest waves travel in a non-dispersive manner, may need an update.
Traditionally, deep-ocean DART buoys have been the top choice for monitoring waves. While they provide precise measurements, they can only do so from fixed points. In contrast, SWOT can survey a wide area at once. As Angel Ruiz-Angulo, a lead researcher at the University of Iceland, said, “SWOT data acts like a new pair of glasses.” It gives a more complete view of a tsunami’s shape as it evolves.
Since its launch in December 2022, SWOT’s mission has been to monitor water surfaces globally. Ruiz-Angulo and his team were already examining ocean currents when the Kamchatka earthquake struck. Their unexpected observation of a tsunami allowed them to re-evaluate tsunami dynamics.
Generally, scientists believe larger tsunamis behave as shallow-water waves. However, the data from SWOT challenged this notion. Simulations incorporating dispersive effects, where wave energy spreads out and interacts, matched better with the satellite data than traditional models. This suggests that energy levels near the coast may differ from earlier predictions, potentially altering how these waves impact land once they reach shallow waters.
The collaboration of SWOT data with DART buoy readings has been vital. During the tsunami, some buoy measurements did not align with initial predictions. Adjustments to models revealed that the actual rupture zone was larger than earlier thought, extending about 400 kilometers instead of 300. This highlights how valuable real-time data can be for refining earthquake models.
Historically, the Kuril-Kamchatka region has a track record of producing devastating tsunamis, including a significant one in 1952 that led to the establishment of an international alert system. The information gathered from SWOT could enhance warning systems further, helping to build more accurate models for real-time forecasting.
Experts believe we are at a turning point for tsunami predictions. The advancements in satellite technology allow scientists to see the internal structure of waves, not just their presence. This means there’s more potential to understand how waves interact as they approach the coast.
Ultimately, the challenge remains: integrating all this data to create better forecasts. The physics of tsunami behavior is more complex than ever, but improving prediction methods could save lives. For tsunami modelers and disaster planners, this new information is both a challenge and an opportunity to make our responses sharper and more effective in the face of these powerful natural phenomena.
For more insights on this topic, read the full study published in the journal The Seismic Record here.
Image Credit: NOAA
