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Published October 2019 | Supplemental Material + Published
Journal Article Open

Joint Inversion of Coseismic and Early Postseismic Slip to Optimize the Information Content in Geodetic Data: Application to the 2009 M_w 6.3 L'Aquila Earthquake, Central Italy

Abstract

When analyzing the rupture of a large earthquake, geodetic data are often critical. These data are generally characterized by either a good temporal or a good spatial resolution, but rarely both. As a consequence, many studies analyze the coseismic rupture with data that also include one or more days of early postseismic deformation. Here, we invert simultaneously for the coseismic and postseismic slip with the condition that the sum of the two models remains compatible with data covering the two slip episodes. We validate the benefits of this approach with a toy model and an application to the 2009 M_w 6.3 L'Aquila earthquake, using a Bayesian approach and accounting for epistemic uncertainties. For the L'Aquila earthquake, we find that if early postseismic deformation is not an explicitly acknowledged coseismic signal, coseismic slip models may overestimate the peak amplitude while long‐term postseismic models may largely underestimate the total postseismic slip amplitude. This example illustrates how the proposed approach could improve our comprehension of the seismic cycle, fault frictional properties, and the spatial and temporal relationship between seismic rupture, afterslip, and aftershocks.

Additional Information

© 2019 American Geophysical Union. Received 20 NOV 2018; Accepted 3 SEP 2019; Accepted article online 8 SEP 2019; Published online 30 OCT 2019. We thank Richard Walters for his thorough and constructive review. We thank Frederic Cappa for helpful discussions. We are extremely grateful to Frederica Magnoni who shared her 3‐D crustal model for the L'Aquila area (Magnoni et al., 2014), to Luisa Valoroso who provided the aftershock catalog for the L'Aquila earthquake (Valoroso et al., 2013), and to Simone Atzori for sharing the InSAR data (Atzori et al., 2009). The Bayesian simulations were performed on the HPC‐Regional Center ROMEO (https://romeo.univ‐reims.fr) of the University of Reims Champagne‐Ardenne (France). The Classic Slip Inversion (CSI) Python library created by Romain Jolivet was used to build inputs for the Bayesian algorithm. Discussed slip models of Gualandi et al. (2014), Gallovic et al. (2015), and Cirella et al. (2012) have been retrieved from SRCMOD (http://equake‐rc.info/SRCMOD/, Mai & Thingbaijam, 2014). Figures were generated with the Matplotlib and Seaborn Python libraries and with the Generic Mapping Tools library. This study was supported by the French National Research Agency (ANR) JCJC E‐POST (ANR‐14‐CE03‐002‐01JCJC 'E‐POST'). Théa Ragon was supported by a fellowship from the French Ministry of Research and Higher Education.

Attached Files

Published - Ragon_et_al-2019-Journal_of_Geophysical_Research__Solid_Earth.pdf

Supplemental Material - jgrb53747-sup-0001-figure_si-s01_aa.pdf

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Additional details

Created:
August 19, 2023
Modified:
October 18, 2023