Imaging Yellowstone plume-lithosphere interactions from inversion of ballistic and diffusive Rayleigh wave dispersion and crustal thickness data

Global crustal thickness from neural network inversion of surface wave data

S U M M A R Y We present a neural network approach to invert surface wave data for a global model of crustal thickness with corresponding uncertainties. We model the a posteriori probability distribution of Moho depth as a mixture of Gaussians and let the various parameters of the mixture model be given by the outputs of a conventional neural network. We show how such a network can be trained o...

crustal velocity structure of kerman region from joint inversion of receiver functions and rayleigh waves group velocity dispersion

iran is situated in one of the world's seismic regions and the possibility of destructive earthquakes in most regions of the country has given great significance to recognition of iranian seismic nature from a seismic and seismotectonic standpoint. study of the crust and upper mantle velocity structure in the iranian plateau provides better understanding of its evolution and tectonic histo...

Rayleigh Wave Dispersion Curve Inversion: Occam Versus the L1-Norm

Lithospheric thickness, thinning, subduction, and interaction with the asthenosphere beneath China from the joint inversion of seismic S-wave train fits and Rayleigh-wave dispersion curves

Crustal and Upper Mantle Structure from Joint Inversion of Body Wave and Gravity Data

We present a preliminary model of the three-dimensional seismic structure of the Iran region obtained via simultaneous, joint inversion of body wave travel time and gravity observations. The body wave data set is derived from location calibration efforts and includes a large (>1000 events) subset of GT5-level events. The arrival time data sets for these events include many readings of direct cr...