Imaging the Earth's Upper Mantle: Markov Chain Monte Carlo Joint Inversion of Geophysical Multi-observables
- 1Macquarie University, Faculty of Science and Engineering, School of Engineering, Macquarie Park, Australia (fatimahabdulghafur.patiman@hdr.mq.edu.au)
- 2University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Department of Earth Sciences (AES), Netherlands
Seismic data from several long-running broadband sensors around the globe will be used to investigate the statistical significance and geologic interpretation of negative velocity discontinuities in the upper-most mantle. Several previous studies have identified negative polarity arrivals in S-wave receiver function data which are variously interpreted as lithosphere-asthenosphere and/or mid-lithosphere boundaries.
One-dimensional joint-inversion is applied using the LitMod framework, which is a Bayesian statistical method driven by a Markov Chain Mote Carlo algorithm.
LitMod uses a thermodynamically consistent physical model of the mantle and thus provides important constraints for the interpretation of the receiver function results.
Joint inversions combine Rayleigh wave phase velocity measurements, both P and S-wave receiver functions, absolute elevation, and geoid height.
Particular attention is given to the calculation and inversion of S-wave receiver function data, which represents a new addition to the LitMod framework.
How to cite: Abdulghafur, F., Hansen, S., and Afonso, J. C.: Imaging the Earth's Upper Mantle: Markov Chain Monte Carlo Joint Inversion of Geophysical Multi-observables, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-4819, https://doi.org/10.5194/egusphere-egu23-4819, 2023.
