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false4DOIDB.GFZ 10.5880/GFZ.4.5.20202.005 Gómez-García, Ángela María Ángela María Gómez-García 0000-0001-5847-2826 GFZ German Research Centre for Geosciences, Potsdam, Germany CEMarin – Corporation Center of Excellence in Marine Sciences, Bogotá, Columbia González, Álvaro Álvaro González 0000-0002-9300-4283 Centre de Recerca Matemàtica (CRM), Bellaterra (Barcelona), Spain Cacace, Mauro Mauro Cacace 0000-0001-6101-9918 GFZ German Research Centre for Geosciences, Potsdam, Germany Scheck-Wenderoth, Magdalena Magdalena Scheck-Wenderoth 0000-0003-0426-8269 GFZ German Research Centre for Geosciences, Potsdam, Germany Monsalve, Gaspar Gaspar Monsalve 0000-0002-6029-3058 Universidad Nacional de Colombia Sede Medellín, Colombia GFZ Data Services 2022 3D thermal model seismogenic thickness earthquake hypocentral temperatures seismogenic zone northwestern South America EARTH SCIENCE > HUMAN DIMENSIONS > NATURAL HAZARDS EARTH SCIENCE > SOLID EARTH > GEOTHERMAL DYNAMICS EARTH SCIENCE > SOLID EARTH > TECTONICS > EARTHQUAKES Gómez-García, Ángela María Ángela María Gómez-García 0000-0001-5847-2826 GFZ German Research Centre for Geosciences, Potsdam, Germany CEMarin – Corporation Center of Excellence in Marine Sciences, Bogotá, Columbia Gómez-García, Ángela María Ángela María Gómez-García 0000-0001-5847-2826 GFZ German Research Centre for Geosciences, Potsdam, Germany CEMarin – Corporation Center of Excellence in Marine Sciences, Bogotá, Columbia Scheck-Wenderoth, Magdalena Magdalena Scheck-Wenderoth 0000-0003-0426-8269 GFZ German Research Centre for Geosciences, Potsdam, Germany Monsalve, Gaspar Gaspar Monsalve 0000-0002-6029-3058 Universidad Nacional de Colombia Sede Medellín, Colombia Gómez-García, Ángela María GFZ German Research Centre for Geosciences, Potsdam, Germany Dataset DOI of paper when available 10.5880/GFZ.4.5.2020.003 10.5194/se-12-275-2021 10.31905/D808B830 10.1029/2019JB018474 10.1029/2019JB018475 10.1016/j.jag.2014.04.002 10.1002/2015EA000107 CC BY 4.0 This data repository contains the 3D steady-state thermal field computed for the South Caribbean and NW South America down to 75 km depth, the modelled hypocentral temperatures, the depths to the upper and lower stability transitions, as well as the seismogenic thickness calculated from selected earthquakes of the ISC Bulletin (International Seismological Centre, 2022). All methodological details can be found in the main publication (see section 2).

We used the uppermost 75 km of the gravity-constrained structural and density model of Gómez-García et al. (2020, 2021) to derive the 3D thermal configuration of the study area. A steady-state approach was followed, in which upper and lower boundary conditions were set to run the thermal experiments using the software GOLEM (Cacace & Jacquey, 2017; Jacquey & Cacace, 2017).

We selected earthquakes from the ISC Bulletin from January 1980 to January 2021 (International Seismological Centre, 2022), considering the magnitude of completeness for different periods, removing earthquakes without depth, set as 0 km or fixed, as well as those with reported hypocentral depth errors >30 km. Of this set, we selected the crustal earthquakes, located between the topo-bathymetry from the GEBCO relief (Weatherall et al., 2015) and the Moho depth from the GEMMA model (Reguzzoni & Sampietro, 2015), interpolated to a resolution of 5 km. From this earthquake subset we computed the upper and lower stability transitions for seismogenesis, as the 10th and 90th percentiles (D10 and D90), respectively, of the hypocentral depths. These percentiles were mapped on a latitude-longitude grid, using for each grid node its 20 closest earthquakes as sample.

The hypocentral temperatures and the temperatures at the D10 and D90 crustal depths were calculated from the lithospheric-scale thermal model. Lastly, the crustal seismogenic thickness was computed as the difference between D90 and D10 for each grid node. For more details about the modelling approach and interpretation of the results, we kindly ask the reader to refer to the main publication: Gomez-Garcia et al., (2022).
3D thermal model of the South Caribbean and NW South America -83 -62 5.2 16