An automated time-window selection algorithm for seismic tomography

We present FLEXWIN, an open source algorithm for the automated selection of time windows on pairs of observed and synthetic seismograms. The algorithm was designed specifically to accommodate synthetic seismograms produced from 3-D wavefield simulations, which capture complex phases that do not nece...

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Veröffentlicht in:Geophysical journal international Jg. 178; H. 1; S. 257 - 281
Hauptverfasser: Maggi, Alessia, Tape, Carl, Chen, Min, Chao, Daniel, Tromp, Jeroen
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford, UK Blackwell Publishing Ltd 01.07.2009
Oxford University Press (OUP)
Schlagworte:
Body waves
Earth Sciences
Sciences of the Universe
Seismic tomography
Surface waves and free oscillations
Time series analysis
Tomography
Tomography
Surface waves and free oscillations
Body waves
Time series analysis
Seismic tomography
ISSN:0956-540X, 1365-246X
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:We present FLEXWIN, an open source algorithm for the automated selection of time windows on pairs of observed and synthetic seismograms. The algorithm was designed specifically to accommodate synthetic seismograms produced from 3-D wavefield simulations, which capture complex phases that do not necessarily exist in 1-D simulations or traditional traveltime curves. Relying on signal processing tools and several user-tuned parameters, the algorithm is able to include these new phases and to maximize the number of measurements made on each seismic record, while avoiding seismic noise. Our motivation is to use the algorithm for iterative tomographic inversions, in which the synthetic seismograms change from one iteration to the next. Hence, automation is needed to handle the volume of measurements and to allow for an increasing number of windows at each model iteration. The algorithm is sufficiently flexible to be adapted to many tomographic applications and seismological scenarios, including those based on synthetics generated from 1-D models. We illustrate the algorithm using data sets from three distinct regions: the entire globe, the Japan subduction zone, and southern California.
Bibliographie:ark:/67375/HXZ-W0GZMZMM-7
istex:2139CB9DA752726694C122EA6E489CC20219FE7F
Now at: Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Now at: Department of Geosciences, Princeton University, Princeton, NJ 08540, USA.
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ISSN:0956-540X
1365-246X
DOI:10.1111/j.1365-246X.2009.04099.x