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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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THD technique applied on Vp data of Long Valley Caldera

Authors: Gola, Gianluca; Barone, Andrea; Castaldo, Raffaele; Chiodini, Giovanni; D'Auria, Luca; García-Hernández, Ruben; Pepe, Susi; +2 Authors

THD technique applied on Vp data of Long Valley Caldera

Abstract

We considered the Vp tomographic model of Seccia et al. (2011) for Long Valley Caldera on which we applied the Horizontal Gradient technique for retrieving geometrical information about the deep structures characterizing the first 10 km of crust. Specifically, after the regularization through spatial based kriging interpolator, we compute the horizontal derivatives on single z-layers with sampling step of 500 m. The results are presented in Gola G., Barone A., Castaldo R., Chiodini G., D'Auria L., Garcia-Hernandez R., Pepe S., Solaro G. & Tizzani P. "A novel multidisciplinary approach for the thermo-rheological study of volcanic areas: The case study of Long Valley Caldera", which has been submitted for possible publication in Journal of Geophysical Research - Solid Earth. Coordinates: North America NAD27 UTM Zone 11N Easting: 308000 - 353000 m.; Northing: 4155000 - 4185000 m; XY resolution: 500 m.

Keywords

Seismic tomographic model, Horizontal Gradient technique, Long Valley Caldera

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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