A global database of strong-motion displacement GNSS recordings and an example application to PGD scaling

TitleA global database of strong-motion displacement GNSS recordings and an example application to PGD scaling
Publication TypeJournal Article
Year of Publication2019
AuthorsRuhl C.J, Melgar D, Geng JH, Goldberg D.E, Crowell BW, Allen R.M, Bock Y, Barrientos S., Riquelme S., Baez J.C, Cabral-Cano E., Perez-Campos X, Hill E.M, Protti M., Ganas A., Ruiz M., Mothes P., Jarrin P., Nocquet J.M, Avouac J.P, D'Anastasio E.
JournalSeismological Research Letters
Volume90
Pagination271-279
Date Published2019/01
Type of ArticleArticle
ISBN Number0895-0695
Accession NumberWOS:000460123500028
Keywordsbase-line corrections; Geochemistry & Geophysics; GPS
Abstract

Displacement waveforms derived from Global Navigation Satellite System (GNSS) data have become more commonly used by seismologists in the past 15 yrs. Unlike strong-motion accelerometer recordings that are affected by baseline offsets during very strong shaking, GNSS data record displacement with fidelity down to 0 Hz. Unfortunately, fully processed GNSS waveform data are still scarce because of limited public availability and the highly technical nature of GNSS processing. In an effort to further the use and adoption of high-rate (HR) GNSS for earthquake seismology, ground-motion studies, and structural monitoring applications, we describe and make available a database of fully curated HR-GNSS displacement waveforms for significant earthquakes. We include data from HR-GNSS networks at near-source to regional distances (1-1000 km) for 29 earthquakes between M-w 6.0 and 9.0 worldwide. As a demonstration of the utility of this dataset, we model the magnitude scaling properties of peak ground displacements (PGDs) for these events. In addition to tripling the number of earthquakes used in previous PGD scaling studies, the number of data points over a range of distances and magnitudes is dramatically increased. The data are made available as a compressed archive with the article.

DOI10.1785/0220180177
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