The 2017 Outstanding Student Poster and PICO (OSPP) Awards is awarded to Baptiste Gombert for the poster/PICO entitled:
A Bayesian analysis of the 2016 Mw=7.8 Pedernales (Ecuador) earthquake (Gombert, B.; Duputel, Z.; Jolivet, R.; Rivera, L.; Simons, M.; Jiang, J.; Liang, C.; Fielding, E.)
Click here to download the poster/PICO file.
I am a third year PhD student in the Seismology team of the Institut de Physique du Globe de Strasbourg. My research, funded by a French Government fellowship, uses cutting-edge Markov Chain Monte Carlo methods to explore co-seismic slip distribution of large earthquakes. This stochastic approach provides solid posterior uncertainty estimates while avoiding any non-physical smoothing regularization constraints.
In this EGU 2017 poster, we presented a stochastic co-seismic slip distribution of the 2016 Pedernales earthquake (Ecuador, Mw = 7.8) that was computed from the joint inversion of an extensive geodetic dataset. We show that the elastic strain released during the 2016 earthquake might exceeds what was accumulated since the big 1942 earthquake.