Bayesian Dynamic Finite‐Fault Inversion: 2. Application to the 2016 Mw 6.2 Amatrice, Italy, Earthquake

@article{Gallovi2019BayesianDF,
  title={Bayesian Dynamic Finite‐Fault Inversion: 2. Application to the 2016 Mw 6.2 Amatrice, Italy, Earthquake},
  author={Franti{\vs}ek Gallovi{\vc} and Ľubica Valentov{\'a} and Jean Paul Ampuero and Alice‐Agnes Gabriel},
  journal={Journal of Geophysical Research: Solid Earth},
  year={2019},
  volume={124},
  pages={6970 - 6988}
}
In 2016 Central Italy was struck by a sequence of three normal‐faulting earthquakes with moment magnitude (Mw) larger than 6. The Mw 6.2 Amatrice event (24 August) was the first one, causing building collapse and about 300 casualties. The event was recorded by a uniquely dense network of seismic stations. Here we perform its dynamic source inversion to infer the fault friction parameters and stress conditions that controlled the earthquake rupture. We consider a linear slip‐weakening friction… 
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