Earthqueeous Secrets Solution: NASA’s Swot Satellite Greenland detects Mega-Tunemis

In September 2023, an unusual Seismic signal The world was rebuilt every 90 seconds for nine consecutive days and then repeated a month later. Scientists were initially unable to identify the source. Nearly a year later, two scientific studies proposed that the cause of these seismic discrepancies was two mega tsunamis which were triggered by two major landslides at a remote East Greenland Fojard in a distant Greenland Fojard, caused by the warming of an anonymous glacier. These events are believed to have removed mega-tsunamis, which was then trapped in the form of a seche-waves that shook the planet’s crust, lying back and forth in the Fazard. Till now there was no observation of these seiches to confirm this principle. In a new study, scientists have made the first direct observation using novel analysis techniques to explain satellite ultimatory data.

Swot

As New researchSuccess came from surface water and ocean topography SatelliteTraditional satellite ultimators failed to detect waves due to their rare and linear data coverage. In contrast, SWOT’s band radar interferometer (Karin) The 50 kilometers-wide sweat measures unprecedented spatial resolution and surface water heights with more than 2.5 m accuracy.

Researchers analyzed SWOT data to generate height maps of FJORD during and later during events. These maps disclosed different cross-channel slopes, which provide certain evidence of the seach, opposing the directions. Although there was no disturbance in a Danish military vessel in the FJORD during the incident, the wide-swarm imaging of Swot captured what human eyes and old equipment could not.

Climate-operated climax

By connecting these comments to seismic signs and regulating other reasons such as wind or tide, the researchers confirmed that Sech caused the nine-day seismic phenomenon.

“Climate change is giving rise to new, unseen extreme,” Said prominent writer Thomas Monahan“This study shows how satellites Earth observation Can help us study them. “Swaro is a game changer,” co-author Professor Thomas Edcock said. To fully use its data, we have to integrate machine learning and ocean physics. ,

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