EGU22-1567
https://doi.org/10.5194/egusphere-egu22-1567
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

LitMod3D_4inv: Multi-observable and multi-scale geophysical inversions for the physical state of the Earth.

Ilya Fomin, Juan Afonso, and Constanza Manassero
Ilya Fomin et al.
  • Macquarie University, Earth and Environmental sciences, Macquarie Park, Australia (ilya.fomin@mq.edu.au)

Characterising the physical state of the Earth's interior with high resolution requires the joint inversion of complementary geophysical datasets. LitMod3D_4inv is a method/software that allows regional and continental scale joint inversions within a probabilistic framework for the 3D thermochemical structure of the lithosphere and upper mantle. The software can simultaneously invert gravity anomalies, geoid height, gravity gradients, Love and Rayleigh surface-wave dispersion curves, receiver functions, body-wave travel times, surface heat flow, absolute elevation and magnetotelluric data, or any combination of them. The result is a collection of Earth models (a probabilistic distribution) with exceptional explicative power and robust estimates for uncertainties.

We use equations of state and Gibbs free energy minimisation routines to produce self-consistent sets of the seismic velocities, densities, and other properties from the actual parameters (unknowns) of the inversion – mantle chemical compositions, thermal profiles, and properties of the crustal layers (thickness, reference densities, Vp/Vs). The code relies on highly-optimised solvers for gravity, seismic, and magnetotelluric forward problems and multi-level hybrid parallel architecture to make use of multiple interacting markov chains. The modular structure of the code allows for extending the set of solvers to include new observables or to implement new Markov chain Monte Carlo algorithms.

In this presentation we will discuss recent developments in the LitMod3D_4inv suite and illustrate their performance with real examples in eastern Canada, in southern and central Africa, and north eastern Australia.

How to cite: Fomin, I., Afonso, J., and Manassero, C.: LitMod3D_4inv: Multi-observable and multi-scale geophysical inversions for the physical state of the Earth., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-1567, https://doi.org/10.5194/egusphere-egu22-1567, 2022.