Broadband Dynamic Rupture Modeling With Fractal Fault Roughness, Frictional 
Heterogeneity, Viscoelasticity and Topography: The 2016 Mw 6.2 Amatrice, Italy 
Earthquake

Taufiqurrahman, T.; Gabriel, A.‐A.; Ulrich, T.; Valentová, L.; Gallovič, F.

doi:10.1029/2022GL098872

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Broadband Dynamic Rupture Modeling With Fractal Fault Roughness, Frictional Heterogeneity, Viscoelasticity and Topography: The 2016 Mw 6.2 Amatrice, Italy Earthquake

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Taufiqurrahman, T.
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Gabriel, A.‐A.
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Ulrich, T.
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Valentová, L.
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Gallovič, F.
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Citation

Taufiqurrahman, T., Gabriel, A., Ulrich, T., Valentová, L., Gallovič, F. (2022): Broadband Dynamic Rupture Modeling With Fractal Fault Roughness, Frictional Heterogeneity, Viscoelasticity and Topography: The 2016 Mw 6.2 Amatrice, Italy Earthquake. - Geophysical Research Letters, 49, 22, e2022GL098872.
https://doi.org/10.1029/2022GL098872

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025216

Abstract

Advances in physics-based earthquake simulations, utilizing high-performance computing, have been exploited to better understand the generation and characteristics of the high-frequency seismic wavefield. However, direct comparison to ground motion observations of a specific earthquake is challenging. We here propose a new approach to simulate data-fused broadband ground motion synthetics using 3D dynamic rupture modeling of the 2016 Mw 6.2 Amatrice, Italy earthquake. We augment a smooth, best-fitting model from Bayesian dynamic rupture source inversion of strong-motion data (<1 Hz) with fractal fault roughness, frictional heterogeneities, viscoelastic attenuation, and topography. The required consistency to match long periods allows us to quantify the role of small-scale dynamic source heterogeneities, such as the 3D roughness drag, from observational broadband seismic waveforms. We demonstrate that 3D data-constrained fully dynamic rupture synthetics show good agreement with various observed ground-motion metrics up to ∼5 Hz and are an important avenue toward non-ergodic, physics-based seismic hazard assessment.