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Seismology

Seismology

Earthquake Watch: The 6 February 2023 Kahramanmaraş Earthquakes – A catastrophic day for Turkey

Earthquake Watch: The 6 February 2023 Kahramanmaraş Earthquakes – A catastrophic day for Turkey

Assoc. Prof. Dr Onur Tan from Istanbul University-Cerrahpasa outlines the 6 February 2023 Kahramanmaraş Earthquakes for the Earthquake Watch. February 6, 2023, was a catastrophic day for Turkey. The most destructive earthquake in the last century, Mw 7.8, hit the eastern part of the country at 04:17 local time. Unexpectedly, the second Mw 7.5 mainshock …[Read More]

SENSOR: Fishing geophones from a helicopter in Greenland

SENSOR: Fishing geophones from a helicopter in Greenland

“SENSOR” – stands for Seismological Experiments, Network Systems, Observations and Recovery In this blog series, we share news about recent or upcoming seismic experiments around the globe! And this time we’re checking in with Ana Nap, a PhD student from the University of Zurich, Switzerland, about her work on Greenland’s fastest glacier… Installing instruments on …[Read More]

On the Frontline of the Mission for Marsquakes

On the Frontline of the Mission for Marsquakes

This week we interview Géraldine Zenhäusern, a PhD student at ETH Zurich’s Department of Earth Sciences, about her experience of being on the frontline of spotting Marsquakes with NASA’s InSight mission…. What is the InSight mission? The NASA InSight (Interior Exploration using Seismic Investigations, Geodesy and Heat Transport) mission is a geophysical observatory (see Fig. …[Read More]

Marsquake Detection with Machine Learning Methods

Marsquake Detection with Machine Learning Methods

We interview Nikolaj Dahmen, a PhD student at ETH Zurich’s Institute of Geophysics, about how he uses Machine Learning methods to detect Marsquakes using data from NASA’s InSight Mission…. Why are marsquakes important to detect? Marsquakes generate seismic waves that travel from its source through the interior of the planet. The recordings of these waves …[Read More]

Opinion: self-supervised Machine Learning in seismology

Opinion: self-supervised Machine Learning in seismology

Martijn van den Ende, a Postdoctoral research fellow at Université Côte d’Azur, writes about his thoughts on the state of Machine Learning in seismology… At this moment of writing, it is unlikely that any experienced seismologist is unaware of the recent advancements of Machine Learning (ML) methods in Earth Sciences. Some pioneering studies started paving …[Read More]