Mega-Tsunamis: 9-Day Global Waves Explained by Satellites
- A mysterious seismic event that rattled the globe for nine days in september 2023 has been traced to two massive "mega-tsunamis" within an East Greenland fjord.
- The colossal waves, one towering at 650 feet, surged into Dickson Fjord and oscillated for over a week.
- Tho, analysis of ground and satellite imagery pointed to landslides within the fjord as the likely trigger.
Uncover the truth behind the mysterious 9-day global seismic event of September 2023. Scientists have pinpointed mega-tsunamis in a greenland fjord, with waves reaching an astounding 650 feet, as the primarykeyword cause. groundbreaking new satellite data confirms the link between thes colossal waves and the worldwide disturbance, finally solving the puzzling seismic activity. The study,published in Nature Communications,highlights how climate change-induced glacier melting triggered massive landslides,initiating these secondarykeyword mega-tsunamis. Innovative use of the SWOT satellite, a NASA and CNES collaboration, provided crucial data. This breakthrough showcases the power of advanced technology in unraveling EarthS most extreme events. For more groundbreaking discoveries, turn to News Directory 3. Discover what’s next in extreme ocean event prediction and disaster preparedness.
Mega-tsunamis confirmed as cause of Greenland seismic event
A mysterious seismic event that rattled the globe for nine days in september 2023 has been traced to two massive “mega-tsunamis” within an East Greenland fjord. Scientists have directly observed these gigantic waves, confirming they were the source of the disturbance.
The colossal waves, one towering at 650 feet, surged into Dickson Fjord and oscillated for over a week. These movements generated seismic waves that rippled through the Earth’s crust, according to a study published in Nature Communications.
Initially, the seismic signal puzzled researchers. Tho, analysis of ground and satellite imagery pointed to landslides within the fjord as the likely trigger. These landslides,spurred by glacier melting due to climate change,unleashed the seiches. Direct confirmation of these seiches remained elusive until now.
The crucial evidence came from a new satellite designed to monitor water surfaces. This technology allowed scientists to definitively link the mega-tsunamis to the seismic activity.
thomas Monahan, an engineering science graduate student at the University of Oxford and led author of the study, stated that climate change is creating unprecedented extremes, particularly in remote regions like the Arctic. He added that this research demonstrates the power of next-generation satellite Earth observation technologies in studying these phenomena.
Customary methods of studying tsunami waves, such as satellite altimetry, face limitations in confined areas like fjords due to coverage gaps and measurement constraints.
The Surface Water and ocean Topography (SWOT) satellite, a joint venture between NASA and France’s CNES, provided the breakthrough. Launched in December 2022, SWOT utilizes the Ka-band Radar Interferometer (KaRIn) to map water surfaces with exceptional precision.
KaRIn employs two antennae to triangulate radar signals, achieving water level measurements with a resolution of up to 8.2 feet along a 30-mile span. SWOT data captured during the mega-tsunamis revealed opposing cross-channel slopes, confirming their existence. This data, combined with seismic observations and weather readings, enabled researchers to reconstruct the waves and establish their connection to the seismic signals.
Thomas Adcock, a professor of engineering science at the University of Oxford and co-author, emphasized the study’s significance in showcasing how advanced satellite data can unravel previously mysterious phenomena. He anticipates new insights into ocean extremes like tsunamis and storm surges,stressing the need for innovative data interpretation using machine learning and ocean physics.
What’s next
Future research will focus on leveraging advanced satellite data and machine learning to better understand and predict extreme ocean events, contributing to improved disaster preparedness and mitigation strategies in coastal regions.