Statistics – Computation
Scientific paper
May 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005eostr..86..177h&link_type=abstract
EOS Transactions, AGU, Volume 86, Issue 18, p. 177-181
Statistics
Computation
8
Seismology: Tomography (6982, 8180), Exploration Geophysics: Seismic Methods (3025, 7294), Computational Geophysics: Data Analysis: Algorithms And Implementation
Scientific paper
The current rapid growth in the number of seismometers available to the research community, combined with increasing computer power, will allow improvement in the type and quality of seismic images of the crust and lithosphere. An example of improved imaging capability is the inversion of the full seismic waveform, rather than solely travel times, in controlled-source surveys (seismic refraction or reflection using human-induced ground shaking). At the 12th Deep Seismic Methods workshop, sponsored by the International Association of Seismology and Physics of the Earth's Interior (IASPEI), an analysis of computer-generated data exemplified the potential of increased source and station density. The synthetic seismic data set was generated from a geologic model that includes large-, medium-, and small-scale stochastic variation. The source and seismometer spacing mimic imminent community capabilities. The Earth model was kept secret, and the data were made available for analysis (http://crust.geol.vt.edu/hole/ccss/). Figure 1 illustrates the results of blind travel time and waveform tomography applied to the data. The images, described in more detail below, illustrate an excellent match to the true Earth model.
Hole John A.
Pratt Gerhard R.
Zelt Colin A.
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