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Summary
This summary is machine-generated.

This study introduces a collaborative seismic earth model built through evolutionary, multiscale inversion of geophysical data. It leverages distributed resources to overcome limitations and integrate diverse seismic model refinements into a unified whole-Earth structure.

Keywords:
Earth structurecomputational geophysicsinverse theoryseismologytomographywave propagation

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Area of Science:

  • Geophysics
  • Earth Science
  • Computational Seismology

Background:

  • Individual research efforts often face resource limitations.
  • Previously accumulated knowledge in geophysics is underutilized.
  • Developing comprehensive Earth models requires integrating diverse data and methods.

Purpose of the Study:

  • To present a novel concept for collaborative, evolutionary, and multiscale inversion of geophysical data.
  • To construct a first-generation Collaborative Seismic Earth Model.
  • To address limitations in individual research capacity and knowledge integration.

Main Methods:

  • A Bayesian updating scheme, simplified into a deterministic method for computational efficiency.
  • Harnessing distributed human and computing power for model evolution.
  • Integrating 12 refinements from full seismic waveform inversion across various scales.

Main Results:

  • Development of a general concept for collaborative seismic earth modeling.
  • Creation of a first-generation Collaborative Seismic Earth Model with 12 refinements.
  • Demonstration of a method to translate regional model refinements into global Earth structure.

Conclusions:

  • Collaborative, multiscale inversion offers a viable approach to building comprehensive Earth models.
  • The proposed method effectively integrates diverse seismic data and computational resources.
  • This framework facilitates the advancement of Earth science through collective research efforts.