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      <title>Numerical modeling of initial slip and poroelastic effects of the 2012 Costa Rica earthquake using GPS data</title>
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      <abstractText>Reducing the prediction error of seismic-phase travel times leads directly to 
improvement in earthquake location accuracy. One-dimensional (1D) velocity models are 
most commonly used to calculate seismic phase travel times because computer codes 
are readily available and the computations can be done on inexpensive hardware. Travel 
time predictions based on 1D models are accurate to within 1 to 2 seconds at teleseimic 
distance, but complex crust and upper mantle structure can triple prediction errors at 
regional distance. Increased travel time prediction error at regional distance is 
particularly prevalent in regions like Central America, where subduction tectonics 
results in large lateral variations in seismic velocity and crustal thickness. The Regional 
Seismic Travel Time (RSTT) method (Myers et al., 2010) was specifically developed to 
improve travel time prediction accuracy by accounting for 3D seismic velocity structure. 
The RSTT model is inherently global in extent, but the accuracy of travel time prediction 
is dependent on the accuracy of structure along each ray path. Many studies make use 
of the well-instrumented Nicoya Peninsula in Northern Costa Rica and the underlying 
seismogenic zone to image the structure of the region. In this study we update the RSTT 
3D velocity model in northern and Central Costa Rica using published studies of velocity 
structure (DeShon et al., 2006 and Arroyo et al., 2009). Travel times for the updated 
model are compared to observed travel times for well-constrained earthquakes. We 
relocate the earthquakes using only regional data to measure the improvement in 
location that can be achieved with the updated model. This work was performed under 
the auspices of the U.S. Department of Energy by Lawrence Livermore National 
Laboratory under Contract DE-AC52-07NA27344.</abstractText>
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      <label>Aguiar A C et al. Numerical modeling of initial slip and poroelastic effects of the 2012 Costa Rica earthquake using GPS data. 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