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

Christine J. Ruhl; Diego Melgar; Richard M. Allen; Jianghui Geng; Dara E. Goldberg; Yehuda Bock; Brendan W. Crowell; Sergio Barrientos; Sebastian Riquelme; Juan Carlos Baez; Enrique Cabral-Cano; Xyoli Pérez-Campos; Emma M. Hill; Marino Protti; Athanassios Ganas; Mario Ruiz; Patricia Mothes; Paul Jarrín; Jean Mathieu Nocquet; Jean Phillipe Avouac; Elisabetta D'Anastasio

doi:10.1785/0220180177

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

Christine J. Ruhl
, Diego Melgar
, Richard M. Allen
, Jianghui Geng
, Dara E. Goldberg
, Yehuda Bock
, Brendan W. Crowell
, Sergio Barrientos
, Sebastian Riquelme
, Juan Carlos Baez
, Enrique Cabral-Cano
, Xyoli Pérez-Campos
, Emma M. Hill
, Marino Protti
, Athanassios Ganas
, Mario Ruiz
, Patricia Mothes
, Paul Jarrín
, Jean Mathieu Nocquet
, Jean Phillipe Avouac

Elisabetta D'Anastasio

School of Geog & Environmental Scs

Research output: Contribution to journal › Article › peer-review

72 Citations (Scopus)

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.

Original language	English
Pages (from-to)	271-279
Number of pages	9
Journal	Seismological Research Letters
Volume	90
Issue number	1
DOIs	https://doi.org/10.1785/0220180177
Publication status	Published (in print/issue) - 1 Feb 2019

Funding

We provide a compressed file that includes di-rectories of processed miniSEED displacement data for all 29 events as well as record section plots of all 29 events. These data are perma-nently stored at https://zenodo.org/record/ 1434374. There are two versions of the dataset at that link; version 2.0 should be considered authoritative and contains only stations with signal-to-noise ratio (SNR) > 3 and peak ground displacement (PGD) > 4 cm. Version 1.0 contains all data, including those sites that only recorded noise. Global Centroid Moment Tensor (CMT) data came from http:// globalcmt.org, and National Earthquake Infor-mation Center (NEIC) data came from http:// earthquake.usgs.gov. Chilean data are from the Centro Sismológico Nacional at the Universi-dad de Chile. High-rate RINEX files can be downloaded at http://gps.csn.uchile.cl/data. Data from Greece is from the National Observa-tory of Athens which operates the NOANET Global Navigation Satellite System (GNSS) net-work, which also incorporates data from SMARTnet (Greece) and KOERI stations in Turkey. For Mexico, this material is based on data provided by Servicio Sis-mologico Nacional (SSN), SSN-TLALOCNet, and TLALOC-Net GPS networks, operated by SSN and Servicio de Geodesia Satelital (SGS) at Instituto de Geofísica-Universidad Nacional Autónoma de México (UNAM) and UNAVCO Inc. and supported by National Science Foundation (NSF) EAR-1338091, Consejo Nacional de Ciencia y Tecnologia (CONACyT) In-fraestructura 253760, CONACyT Problemas Nacionales 5955, and UNAM-Proyectos de Investigación e Innovación Tecnológica (PAPIIT) projects IN104213, IN109315-3, IA101913, and IA100916. TLALOCNet raw data are available at http://tlalocnet.udg.mx. Ecuador data are from the National Geodetic Network of the Instituto Geofisico of the Escuela Po-litecnica Nacional (RENGEO). This network has been funded by Secretaria de Educacion Superior, Ciencia Tecnologia, e In-ovacion (SENASCYT) PIN-08-EPNGEO-001 project and Sec-retaria Nacional de Planificacion y Desarrolo-Escuela Politecnica Nacional (SENPLADES-EPN’s) Generación de capacidades The authors thank Ronni Grapenthin and Valerie Sahakian for helpful discussions on the peak ground displacement (PGD) scaling law and residuals. This work was funded by the Gordon and Betty Moore Foundation through Grant GBMF3024 to University of California (UC) Berkeley and the U.S. Geological Survey Grants G16AC00348 and G17AC00346 to UC Berkeley. Work was also done under Grant 41674033 from the National Science Foundation of China. Scripps Orbit and Permanent Array Center (SOPAC) work was funded by NASA Grants NNH17ZDA001N, NNX16AM04A and NNX17AD99G and National Science Foundation (NSF) Grant EAR-1400. The authors thank the Geospatial Information Authority of Japan for operation and maintenance of the GEONET Global Positioning System (GPS) network whose data are used in this study. The authors gratefully acknowledge all the personnel from Servicio Sismologico Nacional (SSN), Servicio de Geodesia Satelital (SGS) and UNAVCO Inc. for GPS station maintenance, data acquisition, IT support and data distribution. The authors acknowledge the New Zealand GeoNet project and its sponsors EQC, GNS Science, and LINZ, for providing data used in this study.

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10.1785/0220180177

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Ruhl, C. J., Melgar, D., Allen, R. M., Geng, J., Goldberg, D. E., Bock, Y., Crowell, B. W., Barrientos, S., Riquelme, S., Baez, J. C., Cabral-Cano, E., Pérez-Campos, X., Hill, E. M., Protti, M., Ganas, A., Ruiz, M., Mothes, P., Jarrín, P., Nocquet, J. M., ... D'Anastasio, E. (2019). A global database of strong-motion displacement GNSS recordings and an example application to PGD scaling. Seismological Research Letters, 90(1), 271-279. https://doi.org/10.1785/0220180177

@article{db7d784c4a78480f8f11ec26e326638b,

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

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. ",

author = "Ruhl, \{Christine J.\} and Diego Melgar and Allen, \{Richard M.\} and Jianghui Geng and Goldberg, \{Dara E.\} and Yehuda Bock and Crowell, \{Brendan W.\} and Sergio Barrientos and Sebastian Riquelme and Baez, \{Juan Carlos\} and Enrique Cabral-Cano and Xyoli P{\'e}rez-Campos and Hill, \{Emma M.\} and Marino Protti and Athanassios Ganas and Mario Ruiz and Patricia Mothes and Paul Jarr{\'i}n and Nocquet, \{Jean Mathieu\} and Avouac, \{Jean Phillipe\} and Elisabetta D'Anastasio",

year = "2019",

month = feb,

day = "1",

doi = "10.1785/0220180177",

language = "English",

volume = "90",

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Ruhl, CJ, Melgar, D, Allen, RM, Geng, J, Goldberg, DE, Bock, Y, Crowell, BW, Barrientos, S, Riquelme, S, Baez, JC, Cabral-Cano, E, Pérez-Campos, X, Hill, EM, Protti, M, Ganas, A, Ruiz, M, Mothes, P, Jarrín, P, Nocquet, JM, Avouac, JP & D'Anastasio, E 2019, 'A global database of strong-motion displacement GNSS recordings and an example application to PGD scaling', Seismological Research Letters, vol. 90, no. 1, pp. 271-279. https://doi.org/10.1785/0220180177

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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 - https://www.scopus.com/pages/publications/85062923851

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 -

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

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