Abstract
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.
Original language | English |
---|---|
Pages (from-to) | 4007-4016 |
Number of pages | 10 |
Journal | Geophysical Research Letters |
Volume | 45 |
Issue number | 9 |
DOIs | |
Publication status | Published - 16 May 2018 |
Bibliographical note
Publisher Copyright:©2018. The Authors.
Funding
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. Seismic data used are available through IRIS (http://ds.iris.edu/ds/nodes/dmc/), ORFEUS (https://www.orfeus-eu.org/), F-Net (http://www.fnet.bosai.go.jp), BATS (http://bats.earth.sinica.edu.tw), BOUN-KOERI (http://www.koeri.boun.edu.tr/sismo/2/en/), and AFAD (http://www.deprem.gov.tr/en/home). We thank the Indonesian Agency for Meteorological, Climatological and Geophysics for sharing data. 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. Seismic data used are available through IRIS (http://ds.iris.edu/ds/nodes/dmc/), ORFEUS (https://www.orfeus-eu.org/), F-Net (http://www.fnet.bosai.go.jp), BATS (http://bats.earth.sinica.edu.tw), BOUN-KOERI (http://www.koeri.boun. edu.tr/sismo/2/en/), and AFAD (http://www.deprem.gov.tr/en/home). We thank the Indonesian Agency for Meteorological, Climatological and Geophysics for sharing data.
Funders | Funder number |
---|---|
AFAD | |
BATS | http://www.koeri.boun.edu.tr/sismo/2/en/ |
EU-COST | ES1401-TIDES-STSM |
EU-COST Action | |
EU’s Horizon 2020 programme | |
Indonesian Agency for Meteorological | |
National Science Council of Turkey | |
PASC | ch1 |
Alexander von Humboldt-Stiftung | |
Horizon 2020 Framework Programme | 676564 |
European Research Council | |
National Science Council | |
Istanbul Teknik Üniversitesi | |
Horizon 2020 | 714069 |
v. Humboldt Foundation |
Keywords
- Earth structure
- computational geophysics
- inverse theory
- seismology
- tomography
- wave propagation