3-D shear wave velocity model of Mexico and South US: bridging seismic networks with ambient noise cross-correlations (C1) and correlation of coda of correlations (C3)

Spica, Zack; Perton, M.; Calò, Marco; Legrand, D.; Córdoba‐Montiel, Francisco; Iglesias, A.

doi:10.1093/gji/ggw240

Cited by 55 publications

(60 citation statements)

References 102 publications

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“…We follow the processing described in Spica et al [2016] to obtain 7200 s long verticalvertical ambient field cross correlations (C 1 ) using continuous data between 2000 and 2014 for all available synchronously operating stations shown in Figure 1. We follow the processing described in Spica et al [2016] to obtain 7200 s long verticalvertical ambient field cross correlations (C 1 ) using continuous data between 2000 and 2014 for all available synchronously operating stations shown in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

“…where A and B are the two target receivers and N is the number of virtual sources S, which corresponds to the number of C 1 , and we require a total of N ≥ 30 to realize isotropic virtual source illumination [Spica et al, 2016]. 87,824 C 1 measurements give rise to a total of 27,116 C 3 measurements with a SNR higher than 8 ( Figure S1 in the supporting information).…”

Section: Methodsmentioning

confidence: 99%

“…By applying the same quality criteria as Spica et al [2016], a homogeneous source distribution can be imposed in the C 3 processing, i.e., virtual sources are homogeneously chosen around every target receiver pair. The C 3 measurements offer several advantages compared to the C 1 measurements.…”

Section: Methodsmentioning

confidence: 99%

“…The C 3 measurements offer several advantages compared to the C 1 measurements. Spica et al [2016] showed that the ambient field correlation process is ergodic such that both C 1 and C 3 measurements can be directly compared and combined. Indeed, every C 1 acts as a virtual source and the geometry of the networks is a reflection of the source locations.…”

Section: Methodsmentioning

confidence: 99%

“…In this study we extract CMB reflections (ScS) from higher-order ambient field cross correlation (C 3 ), a technique that relies on the multiple scattering of the coda of classic ambient field cross correlations (the C 1 ) to compute the Green's function [Stehly et al, 2008;Froment et al, 2011] between pairs of synchronous and asynchronous receivers [Ma and Beroza, 2012;Spica et al, 2016]. Relative to classic ambient field cross correlations [e.g., Shapiro et al, 2005], C 3 provides a more uniform and controlled source distribution and relies on scattered waves, which are both important to ensure the reliability of such phases from correlations [Boué et al, 2014].…”

Section: Introductionmentioning

confidence: 99%

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Lateral heterogeneity imaged by small‐aperture ScS retrieval from the ambient seismic field

Spica

Perton

Beroza

2017

Geophysical Research Letters

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Interpreting core‐related body wave traveltimes is challenging for seismologists because Earth's heterogeneities are averaged over thousands of kilometers and the sparsity of earthquake measurements makes these heterogeneities difficult to localize. We show how the ambient seismic wave field can be used to overcome these limitations. We present a regional‐scale analysis of core‐mantle boundary reflections (ScS) under Mexico. We show that body wave arrivals (i.e., P and ScS) are retrieved from higher‐order cross correlations (C3), a technique that provides a more uniform and controlled source distribution using the scattered waves of the coda of classical ambient field cross correlations (C1). Then, we extract ScS traveltimes along a dense linear array in Mexico and find that lithospheric lateral heterogeneity, such as the subducting Cocos slab beneath Mexico, may have a strong impact on ScS traveltimes. In parallel, we show that lateral heterogeneity such as a possible ultralow velocity zone (ULVZ) near the core‐mantle boundary might also affect, although to a lesser extent, the traveltime anomalies. Our results and interpretation are supported through numerical simulations that account for slab and ULVZ properties.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Lateral heterogeneity imaged by small‐aperture ScS retrieval from the ambient seismic field

Spica

Perton

Beroza

2017

Geophysical Research Letters

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Bend Faulting at the Edge of a Flat Slab: The 2017 M_w7.1 Puebla‐Morelos, Mexico Earthquake

Melgar

Pérez‐Campos

Ramirez-Guzmán

et al. 2018

Geophysical Research Letters

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We present results of a slip model from joint inversion of strong motion and static Global Positioning System data for the Mw7.1 Puebla‐Morelos earthquake. We find that the earthquake nucleates at the bottom of the oceanic crust or within the oceanic mantle with most of the moment release occurring within the oceanic mantle. Given its location at the edge of the flat slab, the earthquake is likely the result of bending stresses occurring at the transition from flat slab subduction to steeply dipping subduction. The event strikes obliquely to the slab, we find a good agreement between the seafloor fabric offshore the source region and the strike of the earthquake. We argue that the event likely reactivated a fault first created during seafloor formation. We hypothesize that large bending‐related events at the edge of the flat slab are more likely in areas of low misalignment between the seafloor fabric and the slab strike where reactivation of preexisting structures is favored. This hypothesis predicts decreased likelihood of bending‐related events northwest of the 2017 source region but also suggests that they should be more likely southeast of the 2017 source region.

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Re‐examination of the 1928 Parral, Mexico earthquake (M6.3) using a new multiplatform graphical vectorization and correction software for legacy seismic data

Corona‐Fernández¹,

Santoyo²

2022

Geoscience Data Journal

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Modern analysis of earthquakes depends on digital time series; however, only about 30% of the timespan of recorded seismicity is available in digital format.During the first half of the 20th century, most of the earthquake ground motions in Mexico were recorded by Wiechert mechanical instruments on smoked paper. In this work, we developed and use Tiitba, a new portable multiplatform graphical user interface (GUI) open-source software coded on python, to vectorize and correct old analogue seismograms. Using this software, we vectorized the 11/1/1928 Parral (M6.3) earthquake seismograms to obtain the constant timeinterval digitized time series for each component and station of the seismogram.Then, we obtained its source focal mechanism using a genetic algorithm methodology. Also, with an auxiliary Tiitba module, we constructed a SEISAN S-file to relocate the hypocentre of this earthquake. The obtained relocation is about 125 km south of a recently recorded seismic swarm that occurred in 2013, which has a similar focal mechanism to the one that we obtained in this work.

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3-D shear wave velocity model of Mexico and South US: bridging seismic networks with ambient noise cross-correlations (C¹) and correlation of coda of correlations (C³)

Cited by 55 publications

References 102 publications

Lateral heterogeneity imaged by small‐aperture ScS retrieval from the ambient seismic field

Lateral heterogeneity imaged by small‐aperture ScS retrieval from the ambient seismic field

Bend Faulting at the Edge of a Flat Slab: The 2017 M_w7.1 Puebla‐Morelos, Mexico Earthquake

Re‐examination of the 1928 Parral, Mexico earthquake (M6.3) using a new multiplatform graphical vectorization and correction software for legacy seismic data

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3-D shear wave velocity model of Mexico and South US: bridging seismic networks with ambient noise cross-correlations (C1) and correlation of coda of correlations (C3)

Cited by 55 publications

References 102 publications

Lateral heterogeneity imaged by small‐aperture ScS retrieval from the ambient seismic field

Lateral heterogeneity imaged by small‐aperture ScS retrieval from the ambient seismic field

Bend Faulting at the Edge of a Flat Slab: The 2017 Mw7.1 Puebla‐Morelos, Mexico Earthquake

Re‐examination of the 1928 Parral, Mexico earthquake (M6.3) using a new multiplatform graphical vectorization and correction software for legacy seismic data

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Product

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3-D shear wave velocity model of Mexico and South US: bridging seismic networks with ambient noise cross-correlations (C¹) and correlation of coda of correlations (C³)

Bend Faulting at the Edge of a Flat Slab: The 2017 M_w7.1 Puebla‐Morelos, Mexico Earthquake