VoiLA-P19: A 3-D P-wave velocity model of the upper mantle beneath the Caribbean derived from teleseismic travel time tomography

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VoiLA-P19: A 3-D P-wave velocity model of the upper mantle beneath the Caribbean derived from teleseismic travel time tomography


The files layer_XX.xyz (with XX indicating the number of the layer from 01-08) contain P-wave velocity anomalies (3rd column) in % with reference to the AK135 model at given longitudes (1st column) ranging from -73.5° to -57.0° and latitudes (2nd column) ranging from 6.5° to 23.0° with increments of 0.05° in both longitude and latitude. The files layer_XX.grd contain the same model as .grd-files.

The 8 layers of the model correspond to the following depth ranges:

0- 40 km : layer01 40-100 km : layer02 100-160 km : layer03 160-240 km : layer04 230-320 km : layer05 320-410 km : layer06 410-530 km : layer07 530-660 km : layer08

A GMT script 'plot_layers.gmt' is provided to plot horizontal slices of the velocity anomalies.

More information on the final model and a suggested set of interpretations can be found in:

    Braszus, B., et al. (2021), Subduction history of the Caribbean from upper-mantle seismic imaging and plate reconstruction, Manuscript in revision for Nature Communications.

Further details of the method and tests for an earlier version of the model are in:

    Braszus, B. (2019), 3D teleseismic travel time tomography along the Lesser Antilles subduction zone, 83 pp, Karlsruhe Institute of Technology, Karlsruhe, Germany, doi:10.5445/IR/1000124003.
Identifier
DOI https://doi.org/10.35097/1289
Metadata Access https://www.radar-service.eu/oai/OAIHandler?verb=GetRecord&metadataPrefix=datacite&identifier=10.35097/1289
Provenance
Creator Braszus, Benedikt; Rietbrock, Andreas
Publisher Karlsruhe Institute of Technology
Contributor RADAR
Publication Year 2023
Rights Open Access; Creative Commons Attribution 4.0 International; info:eu-repo/semantics/openAccess; https://creativecommons.org/licenses/by/4.0/legalcode
OpenAccess true
Representation
Resource Type Dataset
Format application/x-tar
Discipline Natural Sciences; Physics