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Abstract:
Strong groundmotion records and free open access to strong-motion data repositories are
fundamental inputs to seismology, engineering seismology, soil dynamics, and earthquake
engineering science and practice. This article presents the current status and outlook
of the Observatories and Research Facilities for European Seismology (ORFEUS)
coordinated strong-motion seismology services, namely the rapid raw strong-motion
(RRSM) and the engineering strong-motion (ESM) databases and associated web interfaces
andwebservices.We compare and discuss the role and use of these two systems using
theMw 6.5 Norcia (Central Italy) earthquake that occurred on 30 October 2016 as an example
of a well-recorded earthquake that triggered major interest in the seismological and
earthquake engineering communities. The RRSM is a fully automated system for rapid
dissemination of earthquake shaking information, whereas the ESM provides qualitychecked,
manually processed waveforms and reviewed earthquake information. The
RRSM uses only data from the European Integrated Waveform Data Archive, whereas
the ESM also includes offline data from other sources, such as the ITalian
ACcelerometric Archive (ITACA). Advanced software tools are also included in the ESM
to allow users to process strong-motion data and to select ground-motion waveform sets
for seismic structural analyses. The RRSM and ESM are complementary services designed
for a variety of possible stakeholders, ranging fromscientists to the educated general public.
The RRSM and ESM are developed, organized, and reviewed by selected members of
the seismological community in Europe, including strong-motion data providers and
expert users. Global access and usage of the data is encouraged. The ESM is presently
the reference database for harmonized seismic hazard and risk studies in Europe.
ORFEUS strong-motion data are open, “Findable, Accessible, Interoperable, and
Reusable,” and accompanied by licensing information. The users are encouraged to properly
cite the data providers, using the digital object identifiers of the seismic networks.
