Ruhl, Christine J. and Melgar, Diego and Geng, Jianghui and Goldberg, Dara E. and Crowell, Brendan W. and Allen, Richard M. and Bock, Yehuda and Barrientos, Sergio and Riquelme, Sebastian and Báez, Juan Carlos and Cabral-Cano, Enrique and Pérez-Campos, Xyoli and Hill, Emma M. and Protti, Marino and Ganas, Athanassios and Ruiz, Mario and Mothes, Patricia and Jarrín, Paul and Nocquet, Jean‐Mathieu and Avouac, Jean-Philippe and D'Anastasio, Elisabetta (2019) A Global Database of Strong‐Motion Displacement GNSS Recordings and an Example Application to PGD Scaling. Seismological Research Letters, 90 (1). pp. 271-279. ISSN 0895-0695. doi:10.1785/0220180177. https://resolver.caltech.edu/CaltechAUTHORS:20181101-080742326
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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.
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| Additional Information: | © 2018 Seismological Society of America. Published Online 31 October 2018. Data and Resources: We provide a compressed file that includes directories of processed miniSEED displacement data for all 29 events as well as record section plots of all 29 events. These data are permanently 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 Information Center (NEIC) data came from http://earthquake.usgs.gov. Chilean data are from the Centro Sismológico Nacional at the Universidad de Chile. High‐rate RINEX files can be downloaded at http://gps.csn.uchile.cl/data. Data from Greece is from the National Observatory of Athens which operates the NOANET Global Navigation Satellite System (GNSS) network, which also incorporates data from SMARTnet (Greece) and KOERI stations in Turkey. For Mexico, this material is based on data provided by Servicio Sismologico Nacional (SSN), SSN‐TLALOCNet, and TLALOCNet 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) Infraestructura 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 Politecnica Nacional (RENGEO). This network has been funded by Secretaria de Educacion Superior, Ciencia Tecnologia, e Inovacion (SENASCYT) PIN‐08‐EPNGEO‐001 project and Secretaria Nacional de Planificacion y Desarrolo‐Escuela Politecnica Nacional (SENPLADES‐EPN’s) Generación de capacidades para la difusión de alertas tempranas project. Data from Indonesia are from the Sumatran GPS Array (SuGAr), which is operated and maintained by the Earth Observatory of Singapore and the Indonesian Institute of Sciences (LIPI). All websites were last accessed on September 2018. 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. | ||||||||||||||||||||||||||||||||||||
| Group: | Seismological Laboratory | ||||||||||||||||||||||||||||||||||||
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| Issue or Number: | 1 | ||||||||||||||||||||||||||||||||||||
| DOI: | 10.1785/0220180177 | ||||||||||||||||||||||||||||||||||||
| Record Number: | CaltechAUTHORS:20181101-080742326 | ||||||||||||||||||||||||||||||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20181101-080742326 | ||||||||||||||||||||||||||||||||||||
| Official Citation: | Christine J. Ruhl, Diego Melgar, Jianghui Geng, Dara E. Goldberg, Brendan W. Crowell, Richard M. Allen, Yehuda Bock, 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; A Global Database of Strong‐Motion Displacement GNSS Recordings and an Example Application to PGD Scaling. Seismological Research Letters; 90 (1): 271–279. doi: https://doi.org/10.1785/0220180177 | ||||||||||||||||||||||||||||||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||||||||||||||||||||||||
| ID Code: | 90553 | ||||||||||||||||||||||||||||||||||||
| Collection: | CaltechAUTHORS | ||||||||||||||||||||||||||||||||||||
| Deposited By: | Tony Diaz | ||||||||||||||||||||||||||||||||||||
| Deposited On: | 01 Nov 2018 17:41 | ||||||||||||||||||||||||||||||||||||
| Last Modified: | 16 Nov 2021 03:33 |
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