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| Titel |
Comparing operational performance of the Virtual Seismologist and FinDer for earthquake early warning. |
| VerfasserIn |
Frederick Massin, Maren Boese, Carlo V. Cauzzi, John F. Clinton |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250147829
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| Publikation (Nr.) |
 EGU/EGU2017-12042.pdf |
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| Zusammenfassung |
| An earthquake early warning (EEW) system can provide fast and accurate parameter
estimations across wide ranges of source dimensions, event types and epicentral
distances by integrating event or ground motion parameter estimations from different
EEW algorithms, each of them optimized for specific tasks. We have integrated two
such independent EEW algorithms, Virtual Seismologist (VS) and FinDer in the
popular open-source seismic monitoring framework, SeisComP3 (SC3). VS(SC3)
provides rapid magnitude estimates for network-based point-source origins using
conventional triggering and association, while FinDer matches evolving patterns of ground
motion to track on-going rupture extent, and hence can provide accurate ground
motion predictions for finite fault ruptures. SC3 is operated by a large number of
regional seismic network across the world, many of which have a long term interest to
develop EEW capabilities. By combining real-time performance with playbacks from
significant events, we report on the configuration and performance of VS and FinDer in
various different tectonic and monitoring environments - Switzerland, Nicaragua and
Southern California. We discuss how real-time EEW reports from these complimentary
algorithms can be combined in practice to provide a single EEW from the SC3 system. |
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