The Collaborative Seismic Earth Model: Generation 1

Andreas Fichtner*, Dirk Philip van Herwaarden, Michael Afanasiev, Saulė Simutė, Lion Krischer, Yeşim Çubuk-Sabuncu, Tuncay Taymaz, Lorenzo Colli, Erdinc Saygin, Antonio Villaseñor, Jeannot Trampert, Paul Cupillard, Hans Peter Bunge, Heiner Igel

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

86 Citations (Scopus)

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 languageEnglish
Pages (from-to)4007-4016
Number of pages10
JournalGeophysical Research Letters
Volume45
Issue number9
DOIs
Publication statusPublished - 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.

FundersFunder number
AFAD
BATShttp://www.koeri.boun.edu.tr/sismo/2/en/
EU-COSTES1401-TIDES-STSM
EU-COST Action
EU’s Horizon 2020 programme
Indonesian Agency for Meteorological
National Science Council of Turkey
PASCch1
Alexander von Humboldt-Stiftung
Horizon 2020 Framework Programme676564
European Research Council
National Science Council
Istanbul Teknik Üniversitesi
Horizon 2020714069
v. Humboldt Foundation

    Keywords

    • Earth structure
    • computational geophysics
    • inverse theory
    • seismology
    • tomography
    • wave propagation

    Fingerprint

    Dive into the research topics of 'The Collaborative Seismic Earth Model: Generation 1'. Together they form a unique fingerprint.

    Cite this