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 carry information about the medium through ...[Read More]
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 the way for ML in the early 1 ...[Read More]
Seismic Field Work at the Equator
Benedikt Braszus – PhD student at Karlsruhe Institute of Technology, Germany – takes us on a seismic field trip to tropcial Ecuador. Scientists from Géoazur (CNRS/IRD/Observatoire de la Côte d’Azur/Université de la Côte d’Azur), Karlsruhe Institute of Technology, Instituto Geofísico / Escuela Politécnica Nacional (IG-EPN, Quito), Instituto Oceanográfico de la Armada del Ecuador ...[Read More]
Geo-Movie Cup 2022 – We have a Winner!!!
The audience are on the edge of their seats… The tension is palpable… Which disaster film will beat the rest to be the best of the worst? The results are in for the Geo-Movie Cup 2022! As detailed in our previous blog, the EGU Seismology ECS team love those geological disaster films that are so bad, they’re good. 2020’s winner, “The Core”, was taken out of the r ...[Read More]