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(a) Observed (blue) and modeled (red) interseismic GPS velocity fields for the best-fit viscosity structure highlighted in Figure 6b (Maxwell viscosity η M ˆ 10 19:0 Pa·s and a Kelvin viscosity η K ˆ 10 19:0 Pa·s). The observed velocity field shown here is the corrected interseismic velocity field v η M ; η K † (equation 8). (b) Residual velocities for the case shown in (a). Note the different scale from (a).

(a) Observed (blue) and modeled (red) interseismic GPS velocity fields for the best-fit viscosity structure highlighted in Figure 6b (Maxwell viscosity η M ˆ 10 19:0 Pa·s and a Kelvin viscosity η K ˆ 10 19:0 Pa·s). The observed velocity field shown here is the corrected interseismic velocity field v η M ; η K † (equation 8). (b) Residual velocities for the case shown in (a). Note the different scale from (a).

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Along the North Anatolian fault (NAF), the surface deformation associated with tectonic block motions, elastic strain accumulation, and the viscoelastic response to past earthquakes has been geodetically observed over the last two decades. These observations include campaign-mode Global Positioning System (GPS) velocities from the decade prior to t...

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... ranging from 10 17:0 to 10 23:0 Pa·s. These block models also incorporate homogenous internal block strain (e.g., Meade and Loveless, 2009), and we enforce three tensile slip-rate constraints on the central and southern strands of the NAF in the Sea of Marmara to damp fault normal motion. We summarize the viscoelastic block model results (Figs. 7-10) in six major ...

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... Satellite geodetic data, such as Global Navigation Satellite System (GNSS) and Interferometric Synthetic Aperture Radar (InSAR), are regularly used to determine fault slip rates. A growing number of geodetic modeling approaches are being applied, including elastic block models (Evans, 2022;Hammond et al., 2024;McCaffrey, 2009;Meade & Loveless, 2009;Shen et al., 2015;Styron, 2022), deep dislocation models (Elston et al., 2024;Zeng, 2022;Zeng & Shen, 2014, NeoKinema-a kinematic finite element approach to estimate fault slip rates and off-fault strains (Bird, 2009;Shen & Bird, 2022), viscoelastic fault models (Pollitz, 2022;Pollitz et al., 2010;Pollitz & Evans, 2017), and viscoelastic earthquake cycle block models (Chuang & Johnson, 2011;DeVries et al., 2017;Johnson & Fukuda, 2010;Pollitz & Evans, 2017). Among these techniques, geodetically-derived surface velocity data are used as the primary constraints in models, alongside geologicallyderived slip rates typically applied as a prior constraint. ...
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The source characteristics of slow and fast earthquakes provide a window into the mechanical properties of faults. In particular, the average stress drop controls the evolution of friction, fault slip, and event magnitude. However, this important source property is typically inferred from the analysis of seismic waves and is subject to many epistemic uncertainties. Here, we investigate the source properties of 53 earthquakes and 17 slow‐slip events on thrust and strike‐slip faults in various tectonic settings using slip distributions constrained by geodesy in combination with other data. We determine the width, potency, and potency density of slow and fast earthquake sources based on static slip distributions. The potency density, defined conceptually as the ratio of average slip to rupture radius, is a measure of anelastic deformation with limited bias from rigidity differences across depths and tectonic settings. Strike‐slip earthquakes have the highest potency density, varying from 20 to 500 microstrain. The potency density is on average lower on continental thrust faults and megathrusts, from 10 to 200 microstrain, with an algebraic decrease with centroid depth, indicative of systematic changes in dominant rupture processes with depth. Slow slip events represent an end‐member style of rupture with low potency density and large rupture width. Significant variability in potency density of slow‐slip events affects their moment‐duration scaling. The variations of source properties across tectonic settings, depth, and rupture styles can be used to better constrain numerical simulations of seismicity and to assess the source characteristics of future earthquakes and slow slip events.