Grüneisen parameter formalism in the study of the Earth's core formation: a sensitivity study

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1093/gji/ggae117. This is version 2 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Vincent Clesi , Renaud Deguen

Abstract

The Grüneisen parameter is an important parameter for the thermal state and evolution of the core, but its uncertainties and their implications are sometimes overlooked . Several formalisms using different parameters values have been used in different studies, making comparison between studies difficult. In this paper, we use previously published datasets to test the sensitivity of modeling the thermal state of the early core to the different formalisms and parameter values used to describe the evolution of the Grüneisen parameter with density. The temperature of the core obtained in our models is less sensitive to the uncertainties of the parameters used in Al'Tshuler et al (1987) formalism than the uncertainties of the parameters used in Anderson (1967) formalism.

DOI

https://doi.org/10.31223/X5210C

Subjects

Condensed Matter Physics, Earth Sciences, Geochemistry, Geology, Mineral Physics, Other Earth Sciences, Planetary Geophysics and Seismology, Planetary Mineral Physics, Planetary Sciences

Keywords

Composition and structure of the core, Planetary Interiors, numerical modelling, igh-pressure behaviour, Equations of state

Dates

Published: 2024-03-21 02:07

Last Updated: 2024-03-22 10:13

Older Versions
License

CC-BY Attribution-No Derivatives 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
Most of the data is available with a previous publication (https://doi.org/10.1029/2022GC010661). More details can be asked by contacting the corresponding author