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Title: Global adjoint tomography—model GLAD-M25

Journal Article · · Geophysical Journal International
DOI:https://doi.org/10.1093/gji/ggaa253· OSTI ID:1637980
 [1]; ORCiD logo [2]; ORCiD logo [3];  [4];  [1]; ORCiD logo [5]; ORCiD logo [6];  [7];  [7];  [7]
  1. Department of Geosciences, Princeton University, Princeton, NJ 08544, USA
  2. Department of Geosciences, Princeton University, Princeton, NJ 08544, USA, School of Earth Sciences and Engineering, Nanjing University, Nanjing, Jiangsu 210023, China
  3. Department of Geophysics, Colorado School of Mines, Golden, CO 80401, USA
  4. Extreme Computing Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
  5. LMA, CNRS UPR 7051, Aix-Marseille University, Centrale Marseille, 13453 Marseille Cedex 13, France
  6. Department of Geosciences, Princeton University, Princeton, NJ 08544, USA, Program in Applied and Computational Mathematics, Princeton University, Princeton, NJ 08544, USA
  7. Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA

SUMMARY Building on global adjoint tomography model GLAD-M15, we present transversely isotropic global model GLAD-M25, which is the result of 10 quasi-Newton tomographic iterations with an earthquake database consisting of 1480 events in the magnitude range 5.5 ≤ Mw ≤ 7.2, an almost sixfold increase over the first-generation model. We calculated fully 3-D synthetic seismograms with a shortest period of 17 s based on a GPU-accelerated spectral-element wave propagation solver which accommodates effects due to 3-D anelastic crust and mantle structure, topography and bathymetry, the ocean load, ellipticity, rotation and self-gravitation. We used an adjoint-state method to calculate Fréchet derivatives in 3-D anelastic Earth models facilitated by a parsimonious storage algorithm. The simulations were performed on the Cray XK7 ‘Titan’ and the IBM Power 9 ‘Summit’ at the Oak Ridge Leadership Computing Facility. We quantitatively evaluated GLAD-M25 by assessing misfit reductions and traveltime anomaly histograms in 12 measurement categories. We performed similar assessments for a held-out data set consisting of 360 earthquakes, with results comparable to the actual inversion. We highlight the new model for a variety of plumes and subduction zones.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1637980
Alternate ID(s):
OSTI ID: 1657922
Journal Information:
Geophysical Journal International, Journal Name: Geophysical Journal International Vol. 223 Journal Issue: 1; ISSN 0956-540X
Publisher:
Oxford University PressCopyright Statement
Country of Publication:
United Kingdom
Language:
English

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