Time-Varying GPS Displacement Network Modeling by Sequential Monte Carlo
Suchanun Piriyasatit,
Ercan Engin Kuruoglu,
Mehmet Sinan Ozeren
Abstract:Geodetic observations through high-rate GPS time-series data allow the precise modeling of slow ground deformation at the millimeter level. However, significant attention has been devoted to utilizing these data for various earth science applications, including to determine crustal velocity fields and to detect significant displacement from earthquakes. The relationships inherent in these GPS displacement observations have not been fully explored. This study employs the sequential Monte Carlo method, specifica… Show more
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