TY - JOUR
T1 - A global database of strong-motion displacement GNSS recordings and an example application to PGD scaling
AU - Ruhl, Christine J.
AU - Melgar, Diego
AU - Allen, Richard M.
AU - Geng, Jianghui
AU - Goldberg, Dara E.
AU - Bock, Yehuda
AU - Crowell, Brendan W.
AU - Barrientos, Sergio
AU - Riquelme, Sebastian
AU - Baez, Juan Carlos
AU - Cabral-Cano, Enrique
AU - Pérez-Campos, Xyoli
AU - Hill, Emma M.
AU - Protti, Marino
AU - Ganas, Athanassios
AU - Ruiz, Mario
AU - Mothes, Patricia
AU - Jarrín, Paul
AU - Nocquet, Jean Mathieu
AU - Avouac, Jean Phillipe
AU - D'Anastasio, Elisabetta
PY - 2019/2/1
Y1 - 2019/2/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85062923851&partnerID=8YFLogxK
U2 - 10.1785/0220180177
DO - 10.1785/0220180177
M3 - Article
AN - SCOPUS:85062923851
SN - 0895-0695
VL - 90
SP - 271
EP - 279
JO - Seismological Research Letters
JF - Seismological Research Letters
IS - 1
ER -