Preprints
https://doi.org/10.5194/egusphere-2025-2802
https://doi.org/10.5194/egusphere-2025-2802
27 Aug 2025
 | 27 Aug 2025
Status: this preprint is open for discussion and under review for Solid Earth (SE).

SEITCOM-1D: An Interactive 1D Code for temperature and composition modelling of the crust and mantle from seismological data

Mariano Simón Arnaiz-Rodríguez and Javier Fullea

Abstract. We present SEITCOM-1D, a software to model the Earth’s thermochemical and geophysical structure from the surface down to the core-mantle boundary (CMB). The code is designed to estimate geophysical parameters of the Earth’s crust and mantle from petrological and thermal information within a thermodynamically consistent framework and to perform forward 1D coupled geophysical-petrological modelling of the structure of the Earth. Developed in Julia Language, the open-source code is intended to be an easy-to-use, flexible, and fast. SEITCOM-1D includes tools to exploit the large repertoire of 1D seismological data available, namely: surface wave dispersion curves (of fundamental and higher modes of Rayleigh and Love waves) and receiver functions (of P, S, and SKS waves). Surface heat flow and isostatic topography can also be modelled. Four simple examples that illustrate the capabilities of the code are presented to show the sensitivity of Rayleigh wave phase velocity curves and P-to-S receiver functions to compositional and temperature variations.

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Mariano Simón Arnaiz-Rodríguez and Javier Fullea

Status: open (until 15 Oct 2025)

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Mariano Simón Arnaiz-Rodríguez and Javier Fullea

Model code and software

SeitComp Mariano Arnaiz and Javier Fullea https://github.com/marianoarnaiz/SeitComp.jl

Mariano Simón Arnaiz-Rodríguez and Javier Fullea

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Short summary
We introduce SEITCOM-1D, a new open-source software that connects the physical and chemical structure of the Earth’s crust and mantle with seismic observations. This relationship is often difficult to model, but SEITCOM-1D simplifies the process using geophysical and thermodynamic principles. It allows scientists to explore how variations in temperature and composition influence surface wave dispersion and receiver functions, helping to interpret what seismic data reveals about Earth's interior.
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