3D geodynamic data-driven model of the Southern Central Andes

DOI

In the southern Central Andes (~32°S), subduction of the Nazca oceanic plate beneath the South American continental plate becomes horizontal. The growth of the Altiplano-Puna Plateau is covalently related to the southward migration of the flat subduction, but the role of subduction geometry and the plate strength on current and long-term deformation of the Andes remains poorly explored. This study takes a data-driven approach of integrating the previous structural and thermal model of the lithosphere of the southern central Andes into a 3D geodynamic model to explore the different parameters contributing to the localization of deformation. We simulate visco-plastic deformation using the geodynamic code ASPECT. The repository includes parameter files and input files for the reference model (S1) and the following alternative simulations: a series of models with variation in friction at the subduction interface (S2a-d), a series of models with variation in sedimentary strength (S3a-d), a series that studies the effect of topography (S4), and a series that studies the effect of plate velocities. In addition, a readme file gives all the instructions to run them.

We have built a series of 3D data-driven geodynamic model using the finite element code ASPECT (Advanced Solver for Problems in Earth's ConvecTion, version 2.3.0-pre, Kronbichler et al., 2012; Heister et al., 2017; Rose et al., 2017; Bangerth et al., 2021) to simulate brittle and ductile deformation. We have incorporated present-day compositional thicknesses, densities, and temperature fields based on lithospheric-scale models of Rodriguez Piceda et al (2020, 2021a, 2021b, 2022) and ran the simulation for 250,000 years, prescribing plate velocities of 5 cm/yr to the oceanic plate and 1 cm/yr to the continental plate (Sdrolias et al., 2006; Becker et al., 2015), with open borders on the left and right of the asthenosphere.

Identifier
DOI https://doi.org/10.5880/GFZ.2.5.2023.001
Related Identifier https://doi.org/10.5281/ZENODO.5131909
Related Identifier https://doi.org/10.1002/2015GL063695
Related Identifier https://doi.org/10.1093/gji/ggx195
Related Identifier https://doi.org/10.1111/j.1365-246x.2012.05609.x
Related Identifier https://doi.org/10.1130/G49351.1
Related Identifier https://doi.org/10.1007/S00531-020-01962-1
Related Identifier https://doi.org/10.2113/2022/2237272
Related Identifier https://doi.org/10.5880/GFZ.4.5.2021.001
Related Identifier https://doi.org/10.5880/GFZ.4.5.2020.001
Related Identifier https://doi.org/10.1029/2005GC001090
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7776
Provenance
Creator Pons, Michaël ORCID logo; Rodriguez Piceda, Constanza ORCID logo; Sobolev, Stephan ORCID logo; Scheck-Wenderoth, Magdalena ORCID logo; Strecker, Manfred R. ORCID logo
Publisher GFZ Data Services
Contributor Pons, Michaël; Rodriguez Piceda, Constanza; Sobolev, Stephan; Scheck-Wenderoth, Magdalena
Publication Year 2023
Funding Reference Deutsche Forschungsgemeinschaft, 373 34 1
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Pons, Michaël (University of Potsdam, Potsdam, Germany); Rodriguez Piceda, Constanza (University of Potsdam, Potsdam, Germany); Pons, Michaël (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Model
Version 1
Discipline Geosciences
Spatial Coverage (-77.673W, -41.870S, -61.414E, -28.343N); Study area