Electronic Supplement to
A New Strategy to Compare Inverted Rupture Models Exploiting the Eigenstructure of the Inverse Problem

by F. Gallovič and J.-P. Ampuero

The electronic supplement contains an explanation of the conversion of inverted models from the Source Inversion Validation (SIV) database (model SIV2a) to a unified spatial–temporal discretization, a table with description of the inverted models, and figures showing all the inverted models in full spectrum and after singular value decomposition (SVD) truncation.

Conversion of Inverted Models to a Unified Discretization

The fault plane in the SIV2a benchmark is 40 km × 20 km. The integral in the representation theorem is discretized assuming 1.5 km × 1.0 km subfaults and 0.4 s time step. The displacement Green’s functions are Butterworth filtered (one way, four poles, bandpass 0.05–0.5 Hz). These settings follow the recommended relations between space–time sampling and frequency to guarantee sufficient accuracy (e.g., Spudich and Archuleta, 1987; Beresnev, 2003). The spectrum of the matrix G is shown in Figure 1c of the main article.

Models Gallovic0.01 and Gallovic0.1 were obtained assuming the above-mentioned discretization. The other models considered (Target, Hoby, CedricT3, and Asano) were resampled to the common discretization according to the following procedure:

This procedure correctly captures the shape of the slip-rate functions considered by the authors; that is, it minimizes aliasing effects that could be significant, especially when dealing with sharp triangular slip rates considered in some of the methods (see Table S1).


Table

Table S1. List of the inverted models of the SIV2a benchmark with brief explanation of the applied inversion techniques.


Figures

Figure S1. Inversion results of the SIV2a benchmark obtained by various authors (see Table S1): slip distributions (top-most panels) and slip-rate snapshots (bottom panels).

Figure S2. Target model and individual inversion results (columns) truncated with cut-off at 1/10 of the largest singular value: slip distributions (top-most panels) and slip-rate snapshots (bottom panels). The original target model is shown on the left for reference and is in the same color scale.


References

Beresnev, I.A. (2003). Uncertainties in finite-fault slip inversions: To what extent to believe? (a critical review), Bull. Seismol. Soc. Am. 93, 2445–2458.

Gallovič, F., W. Imperatori, and P. M. Mai (2015). Effect of three-dimensional velocity heterogeneities and topography on slip inversions: Case study of the Mw 6.3 2009 L’Aquila earthquake, J. Geophys. Res. 120, 428–449.

Razafindrakoto, H. N. T., and M. P. Mai (2014). Uncertainty in earthquake source imaging due to variations in source time function and Earth structure, Bull. Seismol. Soc. Am. 104, 855–874.

Sekiguchi, H., K. Irikura, and T. Iwata (2000). Fault geometry at the rupture termination of the 1995 Hyogo-ken Nanbu earthquake, Bull. Seismol. Soc. Am. 90, 117–133.

Spudich, P., and R. J. Archuleta (1987). Techniques for earthquake ground-motion calculation with applications to source parameterization of finite faults, in Seismic Strong Motion Synthetics, B. A. Bolt (Editor), Academic Press, Orlando, Florida, 205–265.

Twardzik, C., R. Madariaga, S. Das, and S. Custódio (2012). Robust features of the source process for the 2004 Parkfield, California, earthquake from strong-motion seismograms. Geophys. J. Int. 191, 1245–1254.

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