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Annual Meeting - SCEC.org

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Group 2 – Seismology | Poster Abstracts<br />

Future QuakeML development will include an extension for macroseismic information.<br />

Furthermore, development on seismic inventory information, resource identifiers, and resource<br />

metadata is under way.<br />

Online resources: http://www.quakeml.<strong>org</strong>, http://www.quakepy.<strong>org</strong><br />

2-106<br />

TIME-FREQUENCY MISFIT AND GOODNESS-OF-FIT CRITERIA FOR<br />

QUANTITATIVE COMPARISON OF TIME SIGNALS Kristek J, Kristeková M, and Moczo<br />

P<br />

The time-frequency (TF) representation of a signal provides unique and complete information on<br />

the signal and is a very good basis for signal analysis and thus also for quantitative comparison of<br />

signals. This is especially true about the TF representation defined using the continuous wavelet<br />

transform and progressive analyzing wavelet. The TF representation enables us to define<br />

unambiguous TF envelope and phase of the signal at each (t,f) point, and, consequently, envelope<br />

and phase differences at each (t,f) point. Having these it is possible to define a variety of the TF<br />

misfit and goodness-of-fit criteria depending on the goal of the comparison. The misfit criteria<br />

quantify the level of disagreement and are more suitable for relatively close signals. The goodnessof-fit<br />

criteria allow looking for the level of agreement rather than details of disagreement between<br />

the compared signals and are more suitable in case of larger differences between the signals.<br />

Kristekova et al. (BSSA 2006) developed TF misfit criteria for quantitative comparison of one<br />

component signals assuming one of them to be a reference. Here we develop a systematic theory of<br />

the TF misfit and TF goodness-of-fit criteria for three-component time signals. We include the<br />

locally and globally normalized criteria. We also include criteria in case when one of the two<br />

compared signals can be considered a reference, and criteria in case when the comparison does not<br />

allow viewing one signal as a reference.<br />

We numerically illustrate applications of the misfit and goodness-of-fit criteria to practically<br />

important cases.<br />

The software package TF_MISFITS_GOF_CRITERIA developed by Kristekova et al. (2008) for<br />

numerical computation of the TF misfit and goodness-of-fit criteria is available at<br />

http://www.nuquake.eu/Computer_Codes/index.html.<br />

2-107<br />

DEPTH LOCALIZATION OF SEISMICITY ON STRIKE-SLIP FAULTS IN<br />

CALIFORNIA Boutwell C, Powers PM, and Jordan TH<br />

We investigate the distribution of earthquake ruptures in three separate dimensions along<br />

California strike-slip faults. Previous work by Powers and Jordan (in prep.) shows that the average<br />

rate of small earthquakes along California strike-slip faults obeys a power-law of the form R~(x^2<br />

+ d^2)^(- ? /2), where the rate R is in events/km^2, x is the distance from a fault, ? is the decay rate<br />

of seismicity, and d is the near-fault inner scale. However, they do not consider the depth<br />

variability of earthquake hypocenters. We therefore perform a reconnaissance of their faultreferenced<br />

data set to determine if there is significant on-fault versus off-fault variability in<br />

earthquake depths. For each fault segment, we compute the depth variance in 4d km wide faultnormal<br />

bins, centered on the fault. For particularly long fault segments, we take the average<br />

variance over several shorter fault-parallel sub-segments. Results show interesting regional<br />

variations. In southern California, on-fault earthquake hypocenters are strongly localized in depth,<br />

2008 <strong>SCEC</strong> <strong>Annual</strong> <strong>Meeting</strong> | 199

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