2023: First-Ever Direct Observation of Global Quake Waves

Swift Summary

• Seismic Signal Cause Identified: Two mega tsunamis in East Greenland fjord were triggered by major landslides due to glacier warming, creating standing waves (seiches) that caused teh unusual seismic signals in September and October 2023.
• Satellite Data Breakthrough: Using data from the new Surface Water Ocean Topography (SWOT) satellite launched in December 2022, researchers mapped water height across much of Earth’s surface with unprecedented accuracy using Ka-band Radar Interferometer (KaRIn).
• Study Observations:

– Elevation maps revealed clear cross-channel water slopes in the fjord, proving seiches existed.
– Movement of Earth’s crust linked to wave observations confirmed these findings.
– Weather and tidal conditions ruled out as causes for the phenomena.

• Importance of study:

– Highlights climate change’s contribution to extreme events and its effects on remote Arctic areas.
– Demonstrates potential of next-gen satellite technology for studying oceanic processes like tsunamis or storm surges.

Quotes from study authors:

1. Thomas Monahan emphasizes how new technologies can measure unseen extremes resulting from climate change in remote areas.
2. Professor Thomas Adcock notes that advancing satellite data helps resolve long-standing mysteries but requires innovative use with machine learning and ocean physics.

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Indian Opinion Analysis

India faces mounting challenges as global climate crises deepen, ranging from rising sea levels to altered weather patterns impacting agriculture. This study’s insights underline how modern technological advancements like SWOT satellites could play a pivotal role globally – including India – where similar innovations might assist disaster prediction and management, particularly for coastal threats such as cyclones or tsunamis.

While international research exemplifies success through interdisciplinary collaboration with cutting-edge tools, India should consider investing further into space-based monitoring systems tailored for regional needs. Strengthening partnerships within scientific communities could expedite solutions addressing vulnerabilities created by fast-changing climatic extremes affecting densely populated regions.

india may take lessons here: precision-driven earth observation processes alongside machine learning integration hold untapped potential that applies not just globally but crucially closer home where stakes remain high amidst increasing environmental disruptions.

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