Pillars of the mantle: Imaging the interior of the earth with adjoint tomography

David Pugmire, Ebru Bozdaǧ, Matthieu Lefebvre, Jeroen Tromp, Dmitri Komatitsch, Daniel Peter, Norbert Podhorszki, Judith Hill

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, we investigate global seismic tomographic models obtained by spectral-element simulations of seismic wave propagation and adjoint methods. Global crustal and mantle models are obtained based on an iterative conjugate-gradient type of optimization scheme. Forward and adjoint seismic wave propagation simulations, which result in synthetic seismic data to make measurements and data sensitivity kernels to compute gradient for model updates, respectively, are performed by the SPECFEM3D-GLOBE package [1] [2] at the Oak Ridge Leadership Computing Facility (OLCF) to study the structure of the Earth at unprecedented levels. Using advances in solver techniques that run on the GPUs on Titan at the OLCF, scientists are able to perform large-scale seismic inverse modeling and imaging. Using seismic data from global and regional networks from global CMT earthquakes, scientists are using SPECFEM3D-GLOBE to understand the structure of the mantle layer of the Earth. Visualization of the generated data sets provide an effective way to understand the computed wave perturbations which define the structure of mantle in the Earth.

Original languageEnglish
Title of host publicationPEARC 2017 - Practice and Experience in Advanced Research Computing 2017
Subtitle of host publicationSustainability, Success and Impact
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450352727
DOIs
StatePublished - Jul 9 2017
Event2017 Practice and Experience in Advanced Research Computing, PEARC 2017 - New Orleans, United States
Duration: Jul 9 2017Jul 13 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F128771

Conference

Conference2017 Practice and Experience in Advanced Research Computing, PEARC 2017
Country/TerritoryUnited States
CityNew Orleans
Period07/9/1707/13/17

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