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The Collaborative Seismic Earth Model: Generation 1
Copyright policy )We present a general concept for evolutionary, collaborative, multiscale inversion of geophysical data, specifically applied to the construction of a first-generation Collaborative Seismic Earth Model. This is intended to address the limited resources of individual researchers and the often limited use of previously accumulated knowledge. Model evolution rests on a Bayesian updating scheme, simplified into a deterministic method that honors today's computational restrictions. The scheme is able to harness distributed human and computing power. It furthermore handles conflicting updates, as well as variable parameterizations of different model refinements or different inversion techniques. The first-generation Collaborative Seismic Earth Model comprises 12 refinements from full seismic waveform inversion, ranging from regional crustal- to continental-scale models. A global full-waveform inversion ensures that regional refinements translate into whole-Earth structure. ©2018. American Geophysical Union. All Rights Reserved.
This work was supported by the PASC project GeoScale, the CSCS computing time grant ch1, the European Research Council (ERC) under the EU’s Horizon 2020 programme (grant 714069), Istanbul Technical University, the National Science Council of Turkey, the A. v. Humboldt Foundation, and the EU-COST Action ES1401-TIDES-STSM.
Andreas Fichtner et. al.
Peer reviewed
arXiv: Physics::Geophysics
Microsoft Academic Graph classification: Earth structure engineering.material engineering Bayesian inference Computational geophysics Computer science Waveform inversion Earth model Distributed computing Limited resources Inversion (meteorology) Ranging
Solid Earth, Computational Geophysics, Modeling, Informatics, Oceanography: General, Numerical Modeling, Natural Hazards, Geological, Physical Modeling, Radio Science, Tomography and Imaging, Seismology, Theory, Tomography, Volcano Seismology, Tectonophysics, Volcanology, Volcano Monitoring, General or Miscellaneous, Techniques Applicable in Three or More Fields, Research Letter, Research Letters, inverse theory, wave propagation, Earth structure, Computational Geophysics, Earth structure, Inverse theory, Seismology, Tomography, Wave propagation, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], inverse theory; seismology; wave propagation; tomography; Earth structure; computational geophysics, [SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Geophysics, Earth and Planetary Sciences(all), General Earth and Planetary Sciences
Solid Earth, Computational Geophysics, Modeling, Informatics, Oceanography: General, Numerical Modeling, Natural Hazards, Geological, Physical Modeling, Radio Science, Tomography and Imaging, Seismology, Theory, Tomography, Volcano Seismology, Tectonophysics, Volcanology, Volcano Monitoring, General or Miscellaneous, Techniques Applicable in Three or More Fields, Research Letter, Research Letters, inverse theory, wave propagation, Earth structure, Computational Geophysics, Earth structure, Inverse theory, Seismology, Tomography, Wave propagation, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], inverse theory; seismology; wave propagation; tomography; Earth structure; computational geophysics, [SDU.STU.GP] Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Geophysics, Earth and Planetary Sciences(all), General Earth and Planetary Sciences
arXiv: Physics::Geophysics
Microsoft Academic Graph classification: Earth structure engineering.material engineering Bayesian inference Computational geophysics Computer science Waveform inversion Earth model Distributed computing Limited resources Inversion (meteorology) Ranging
- ETH Zurich Switzerland
- Université Paris Diderot France
- Utrecht University Netherlands
- University of Lorraine France
- Department of Earth Sciences ETH Zurich Switzerland
- ETH Zurich Switzerland
- Université Paris Diderot France
- Utrecht University Netherlands
- University of Lorraine France
- Department of Earth Sciences ETH Zurich Switzerland
- University of Houston - Victoria United States
- Istanbul Technical University Turkey
- Department of Earth and Atmospheric Sciences University of Houston United States
- Department of Earth Sciences Faculty of Geosciences Utrecht University Netherlands
- Ludwig-Maximilians-Universität München Germany
- American Geophysical Union
- American Geophysical Union United States
- Spanish National Research Council Spain
- University of Western Australia Australia
We present a general concept for evolutionary, collaborative, multiscale inversion of geophysical data, specifically applied to the construction of a first-generation Collaborative Seismic Earth Model. This is intended to address the limited resources of individual researchers and the often limited use of previously accumulated knowledge. Model evolution rests on a Bayesian updating scheme, simplified into a deterministic method that honors today's computational restrictions. The scheme is able to harness distributed human and computing power. It furthermore handles conflicting updates, as well as variable parameterizations of different model refinements or different inversion techniques. The first-generation Collaborative Seismic Earth Model comprises 12 refinements from full seismic waveform inversion, ranging from regional crustal- to continental-scale models. A global full-waveform inversion ensures that regional refinements translate into whole-Earth structure. ©2018. American Geophysical Union. All Rights Reserved.
This work was supported by the PASC project GeoScale, the CSCS computing time grant ch1, the European Research Council (ERC) under the EU’s Horizon 2020 programme (grant 714069), Istanbul Technical University, the National Science Council of Turkey, the A. v. Humboldt Foundation, and the EU-COST Action ES1401-TIDES-STSM.
Andreas Fichtner et. al.
Peer reviewed