2019
DOI: 10.1029/2018gl081011
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Crustal Structure in Alaska From Receiver Function Analysis

Abstract: New maps of crustal thickness and Vp/Vs in Alaska and western Canada were obtained using P receiver functions recorded at 198 stations from the USArray Transportable Array and the Alaska Regional Network. Our results indicate that topography and Moho depth are correlated as crustal thickness varies from 28 to 43 km across Alaska. A thick crust occurs under the mountains in the south and north with relatively thin crust in central Alaska. The deepest crustal root beneath the Brooks Range may have lost its buoya… Show more

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Cited by 28 publications
(65 citation statements)
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“…Receiver function focused studies, including Miller and Moresi (2018) and Zhang et al (2019), and refraction seismic analysis (Fuis et al, 2008) observe similar variations in crustal thickness from across the different terranes. Allam et al (2017), through double-difference tomography, receiver functions, and fault zone head waves, observed a change in slab dip and Moho depth across the Denali fault zone and show evidence of a low-velocity anomaly in the upper mantle south of the Denali fault.…”
Section: Previous Geophysical Imaging Studiesmentioning
confidence: 84%
See 1 more Smart Citation
“…Receiver function focused studies, including Miller and Moresi (2018) and Zhang et al (2019), and refraction seismic analysis (Fuis et al, 2008) observe similar variations in crustal thickness from across the different terranes. Allam et al (2017), through double-difference tomography, receiver functions, and fault zone head waves, observed a change in slab dip and Moho depth across the Denali fault zone and show evidence of a low-velocity anomaly in the upper mantle south of the Denali fault.…”
Section: Previous Geophysical Imaging Studiesmentioning
confidence: 84%
“…The ATA has spanned the entire region of Alaska and westernmost Canada, a remarkable accomplishment that enables multiple studies to investigate the subsurface structure of Alaska (e.g., Jiang et al, 2018;Martin-Short et al, 2018;Miller & Moresi, 2018;Zhang et al, 2019). This study focuses on joint inversion of seismic data obtained through ambient noise and earthquakes, including Rayleigh wave ellipticity, phase velocities, and receiver functions.…”
Section: Methodsmentioning
confidence: 99%
“…Here we used a Moho depth model modified from Miller and Moresi (2018), which was constructed on the basis of P-wave receiver function estimates. They used both the permanent and temporary seismic stations, and so their station coverage is better in south-central Alaska than other receiver function studies (Allam et al, 2017;Brennan et al, 2011;Ferris et al, 2003;O'Driscoll & Miller, 2015;Veenstra et al, 2006;Zhang et al, 2019). In addition to the Moho, we also consider two crustal discontinuities modified from the CRUST1.0 model (Laske et al, 2013) and finally constructed a three-layer crustal model (Figures S3 and S4).…”
Section: Methodsmentioning
confidence: 99%
“…Existing studies of the crust and mantle beneath Alaska have been based on a variety of types of data and approaches, including seismic refraction and reflection profiling (e.g., Fuis et al, , ), receiver function analyses (e.g., Ferris et al, ; Miller et al, ; Miller & Moresi, ; O'Driscoll & Miller, ; Rondenay et al, ; Zhang et al, ), body wave tomography for isotropic and anisotropic structures (e.g., Eberhart‐Phillips et al, ; Gou et al, ; Martin‐Short et al, ; Tian & Zhao, ; Zhao et al, ), shear wave splitting studies (e.g., Christensen & Abers, ; Hanna & Long, ; Venereau et al, ; Wiemer et al, ; Yang & Fischer, ), ambient noise tomography (e.g., Ward, ), and earthquake surface wave tomography (e.g., Wang & Tape, ). Some studies combined multiple data sets.…”
Section: Introductionmentioning
confidence: 99%