2017
DOI: 10.1093/gji/ggx144
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Global thermal models of the lithosphere

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Cited by 41 publications
(35 citation statements)
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“…In all profiles, the transition to thick lithosphere occurs >700 km inboard of the western Proterozoic rift margin. In the east coast, global lithospheric thickness models (e.g., Cammarano & Guerri, 2017;Dalton et al, 2017;Steinberger & Becker, 2016) overestimate lithospheric thickness when compared with regional tomography (e.g., Pollitz & Mooney, 2016;Porter et al, 2016;Schmandt et al, 2015;Schmandt & Lin, 2014;Shen & Ritzwoller, 2016;Wagner et al, 2018). Therefore, we defined an approximate eastern bound to the thick lithosphere based on these models.…”
Section: The Lithosphere-asthenosphere Boundarymentioning
confidence: 99%
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“…In all profiles, the transition to thick lithosphere occurs >700 km inboard of the western Proterozoic rift margin. In the east coast, global lithospheric thickness models (e.g., Cammarano & Guerri, 2017;Dalton et al, 2017;Steinberger & Becker, 2016) overestimate lithospheric thickness when compared with regional tomography (e.g., Pollitz & Mooney, 2016;Porter et al, 2016;Schmandt et al, 2015;Schmandt & Lin, 2014;Shen & Ritzwoller, 2016;Wagner et al, 2018). Therefore, we defined an approximate eastern bound to the thick lithosphere based on these models.…”
Section: The Lithosphere-asthenosphere Boundarymentioning
confidence: 99%
“…The LAB in the Eastern U.S LAB properties in the eastern U.S. are much less certain than in the rest of the contiguous U.S. Occupying the middle ground of Paleozoic to Mesozoic aged lithosphere, previous estimates of lithospheric thickness in many global models are of intermediate depth (130-160 km on average, ranging from 90 to 215 km) (e.g., Artemieva, 2006;Cammarano & Guerri, 2017;Dalton et al, 2017;Steinberger & Becker, 2016). However, regional tomography models (and some global models (e.g., Schaeffer & Lebedev, 2013) reveal a more complex picture, varying from apparently thick lithosphere (150 km) to locally very thin (60 km) in the vicinity of well documented low velocity anomalies in New England and Virginia (e.g., Schmandt et al, 2015;Schmandt & Lin, 2014;Shen & Ritzwoller, 2016;Pollitz & Mooney, 2016;Porter et al, 2016;Wagner et al, 2018).…”
Section: The Lab Beneath the Cratonic Usmentioning
confidence: 99%
“…These are obtained by robust, linear fitting of lower crustal temperatures (less prone to be incorrect due to a possible underestimation of porosity) underneath each station, assuming a surface temperature of 18 • C. This allows to obtain a reasonable and representative value of geothermal gradient from seismic velocities, possibly reducing the bias associated with the specific seismic model used. In fact, as shown in Cammarano and Guerri (2017), seismic models can have rather different absolute velocities (and likewise the inferred temperatures) despite a high degree of similarity in their spatial patterns. The error on the estimate of geothermal gradient is evaluated considering the 68.3% (1 ) confidence interval of the slope of the best fitting line.…”
Section: Temperature At Depthmentioning
confidence: 94%
“…It can be noted that both approaches require the knowledge of an upper mantle density model: in the former, this model is used just to set z − V and the below density distribution (from z − V to z − V ) is unknown in the inversion, while in the latter, the densities from z − V to z − V are supposed known and their effects are removed from the observations. Since the current knowledge of the mantle density distribution is still uncertain, within this work, we analyzed 11 tomographic models (see Table 1) converted to density models according to different hypothesis for a total of 79 models (see [16] for details). Figure 2 shows the average density and the corresponding STD as functions of depth, computed from the different models in the study region.…”
Section: Model Volume Vmentioning
confidence: 99%