[1] Predicting accurate ground motion is critical for earthquake hazard analysis, particularly in situations where sedimentary basins trap and amplify seismic waves. We exploit the information carried by the ambient seismic field to extract surface-wave Green’s functions between seismic stations and to predict long-period ground motion from earthquakes. To do so, we modify the surface impulse r...

This paper presents results from Arctic field trials to estimate the bearing, range, and depth of an acoustic source in the water column using seismic particle motion measured at a tri-axial geophone on the sea ice surface. Measurements were carried out on smooth, rough, and ridged annual ice, and on a multi-year ice floe. Impulsive acoustic sources were deployed in the water at a variety of be...

Recordings of the Earth's surface oscillation as a function of time (seismograms) can be sonified by compressing time so that most of the signal's frequency spectrum falls in the audible range. The patternrecognition capabilities of the human auditory system can then be applied to the auditory analysis of seismic data. In this experiment, we sonify a set of seismograms associated with a magnitu...

We build on our earlier results (DE-FC52-06NA27324, Dreger et al., 2008; Ford et al., 2010; Ford et al., 2009a, b; Ford et al., 2008) in which it has been demonstrated that regional distance moment tensor analysis can discriminate explosions from naturally occurring earthquakes and mine collapses. In this project, as an effort to refine procedures for implementation we develop a more complete u...

We consider the inverse problem of estimating the parameters describing a seismic source, based on time-dependent ground motion recordings at a number of receiver stations. The source is modeled as a point moment tensor forcing, characterized by its location, moment tensor components, start time, and frequency parameter in the time function. In total, there are 11 unknown parameters. We use a n...

Blind deconvolution aims at recovering both the source wavelet and the Green’s function (e.g. reflectivity series) from a recorded seismic trace. A multitude of algorithms exist which tackle this ill-posed problem by different approaches. Making assumptions on the phase spectra of the source wavelet and/or the statistical distribution of the reflectivity series are useful for single traces. The...

Seismic interferometry is a new field in seismology that is finding many useful applications in exploration geophysics (Rickett and Claerbout, 1999; Schuster, 2001; Yu and Schuster, 2006; Wapenaar et al., 2002; Wapenaar, 2004; Wapenaar et al., 2005; Calvert et al., 2004 and others) Analogous to optical interferometry, seismic interferometry estimates the detailed properties of an elastic medium...

In many areas of science and engineering, we have different sources of data. For example, in geophysics, there are many sources of data for Earth models: first-arrival passive seismic data (from the actual earthquakes), first-arrival controlled-source seismic data (from the seismic experiments), gravity data, etc. Datasets coming from different sources can provide complimentary information. In ...