2019
DOI: 10.1029/2018gl080578
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Rapid Geodetic Analysis of Subduction Zone Earthquakes Leveraging a 3‐D Elastic Green's Function Library

Abstract: The 2018 M7.2 Pinotepa earthquake ruptured a shallow slab section along the Middle America subduction zone. We demonstrate how a geodetic Green's function (GF) library and efficient modeling algorithm can rapidly resolve earthquake slip and contribute to early warning systems. The source is characterized with InSAR data and a finite‐element model mimicking realistic slab geometry (Slab1.0) and velocity structures (CRUST2.0) that are not considered in the conventional homogeneous (HOM)‐ or layered(1‐D)‐crust so… Show more

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Cited by 11 publications
(3 citation statements)
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“…For instance, the over‐simplification of the 3D elastic domain as a homogeneous or layered half‐space, a conventional practice in coseismic slip inversion exercises, could result in over‐/under‐prediction of slip‐induced displacement when the approximated crust substantially differs from the actual environment. Thus, the resolved fault‐slip distribution and fit to the geodetic observations could be improved by incorporating more realistic lithological configurations into forward models linking fault dislocations to observed surface deformation (Hearn & Bürgmann, 2005; Kyriakopoulos et al., 2013; Tung, Fielding, et al., 2019; Tung, Katzenstein, et al., 2019; Tung & Masterlark, 2016, 2018b; 2018c; Tung, Masterlark, & Lo, 2018; Williams & Wallace, 2015). In addition to modeling the fault kinematics, the near‐fault elastic variabilities should also be considered for accurately calculating the geodetic slip moment (and moment magnitude) and Coulomb stress changes (Das et al., 2019; King et al., 1994; Langenbruch & Shapiro, 2014; Tung, Fielding, et al., 2019; Tung, Katzenstein, et al., 2019).…”
Section: Introductionmentioning
confidence: 99%
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“…For instance, the over‐simplification of the 3D elastic domain as a homogeneous or layered half‐space, a conventional practice in coseismic slip inversion exercises, could result in over‐/under‐prediction of slip‐induced displacement when the approximated crust substantially differs from the actual environment. Thus, the resolved fault‐slip distribution and fit to the geodetic observations could be improved by incorporating more realistic lithological configurations into forward models linking fault dislocations to observed surface deformation (Hearn & Bürgmann, 2005; Kyriakopoulos et al., 2013; Tung, Fielding, et al., 2019; Tung, Katzenstein, et al., 2019; Tung & Masterlark, 2016, 2018b; 2018c; Tung, Masterlark, & Lo, 2018; Williams & Wallace, 2015). In addition to modeling the fault kinematics, the near‐fault elastic variabilities should also be considered for accurately calculating the geodetic slip moment (and moment magnitude) and Coulomb stress changes (Das et al., 2019; King et al., 1994; Langenbruch & Shapiro, 2014; Tung, Fielding, et al., 2019; Tung, Katzenstein, et al., 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the resolved fault‐slip distribution and fit to the geodetic observations could be improved by incorporating more realistic lithological configurations into forward models linking fault dislocations to observed surface deformation (Hearn & Bürgmann, 2005; Kyriakopoulos et al., 2013; Tung, Fielding, et al., 2019; Tung, Katzenstein, et al., 2019; Tung & Masterlark, 2016, 2018b; 2018c; Tung, Masterlark, & Lo, 2018; Williams & Wallace, 2015). In addition to modeling the fault kinematics, the near‐fault elastic variabilities should also be considered for accurately calculating the geodetic slip moment (and moment magnitude) and Coulomb stress changes (Das et al., 2019; King et al., 1994; Langenbruch & Shapiro, 2014; Tung, Fielding, et al., 2019; Tung, Katzenstein, et al., 2019). Here, we investigate whether more realistic model configurations of rock heterogeneity could improve the earthquake source solutions and their fit to the observed coseismic displacements associated with the Ridgecrest earthquake sequence (Figure 2).…”
Section: Introductionmentioning
confidence: 99%
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