A Bayesian approach to infer radial models of temperature and anisotropy in the transition zone from surface wave dispersion curves
 Research areas:
 Year:
 2013
 Authors:

 Éric Beucler
 Antoine Mocquet
 Olivier Verhoeven
 G. Moebs
 G. Burgos
 J. P. Montagner
 Pierre Vacher
 Journal:
 GEOPHYSICAL JOURNAL INTERNATIONAL
 Volume:
 195
 Number:
 2
 Pages:
 11651183
 Month:
 November
 ISSN:
 0956540X
 BibTex:
 Abstract:
 Mineralogical transformations and material transfers within the Earth's
mantle make the 3501000 km depth range (referred here as the mantle
transition zone) highly heterogeneous and anisotropic. Most of the 3D
global tomographic models are anchored on small perturbations from 1D
models such as PREM, and are secondly interpreted in terms of
temperature and composition distributions. However, the degree of
heterogeneity in the transition zone can be strong enough so that the
concept of a 1D reference seismic model must be addressed. To avoid the
use of any seismic reference model, we present in this paper a Markov
chain Monte Carlo algorithm to directly interpret surface wave
dispersion curves in terms of temperature and radial anisotropy
distributions, here considering a given composition of the mantle. These
interpretations are based on laboratory measurements of elastic moduli
and BirchMurnaghan equation of state. An originality of the algorithm
is its ability to explore both smoothly varying models and firstorder
discontinuities, using C1Bezier curves, which interpolate the randomly
chosen values for depth, temperature and radial anisotropy. This
parametrization is able to generate a selfadapting parameter space
exploration while reducing the computing time. Thanks to a Bayesian
exploration, the probability distributions on temperature and anisotropy
are governed by uncertainties on the data set. The method is applied to
both synthetic data and real dispersion curves. Though surface wave data
are weakly sensitive to the sharpness of the of the midmantle seismic
discontinuities, the interpretation of the temperature distribution is
highly related to the chosen composition and to the modelling of
mineralogical phase transformations. Surface wave measurements along the
VanuatuCalifornia path suggest a strong anisotropy above 400 km depth,
which decreases below, and a monotonous temperature distribution between
350 and 1000 km depth.