Mega tsunamis in Greenland reached a height of 650 feet, scientists were surprised. The mystery is now resolved. Mint

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Scientists decoded an unusual phenomenon that came out in September 2023, when seismic stations around the world started taking a stable but unusual signal by repeating every 92 seconds.

This stable pulse lasted for a full nine days and returned to a brief period after a month. It was very unconscious for people to feel, but was strong enough to feel its presence in Australia in Alaska – an unusual behavior for a specific earthquake.

While scientists were first surprised, the source was later detected from remote Dixon Fozard in East Greenland-a narrow inlet that is surrounded by 3,000 feet high rocks.

A mega tsunami and the secret behind it

The new satellite images have now shown a fresh mark, where a section of the mountain had disappeared – indicating something that some massive water was killed and fosers were set in motion.

The answer lies in a natural natural disaster hit on September 16, 2023 in the region. On that day, more than 25 million cubic yards rock and ice-10,000 giant Olympic-sized swimming pools is sufficient to fill-Dixon collapsed in the dixen fosers from the mountain.

It is set in a mega tsunami motion, in which the waves reach the heights of 650 feet. These waves rose with a two-mile corridor of the FJORD, crashed against the rocks and jumped back, the construction of a sech-a long time, slossing speed.

Unlike tsunamis, water in the seche repeatedly goes back and forth in a oscillation speed in an enclosed place, in a stable rhythm, the earth’s crust sends low-oratory seismic energy for days.

How scientists solved the puzzle

The credit for solving the puzzle goes into a joint mission – Surface Water and Ocean Topography (SWOT) launched by NASA and the French Space Agency in 2022.

Using this data, scientists saw changes in the height of water, which were subtle, with a slope of up to two meters, and killing in the FJORD. These waves were a match for the expected oscillation from Sech.

Scientists used machine learning to simulate wave behavior over time to fill the gaps.

“It was exciting to work on such a problem with scientists and an international team of scientists,” said Robert Anthony of the US Geological Survey.

He said, “Finally, it stacked the researchers in many countries and stacked the puzzle together and kept the puzzle together and to get the full picture of what had happened,” he said.

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