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Date: 4/23/2021

Session Time: 11:30 AM to 12:30 PM Pacific

Strong-Motion Data Processing and Dissemination: State-of-the-Art and Outlook

Strong-motion waveforms and associated metadata are key input to a broad range of studies spanning the domains of engineering seismology, soil dynamics, earthquake engineering, seismic hazard and risk and computational near-source seismology. The deployment of dense accelerometer networks with modern broadband high-dynamic-range instruments has progressively blurred the traditional boundary between weak-motion and strong-motion seismology. Some strong-motion data banks started to also include on-scale data recorded by velocity sensors especially for low-magnitude events, and the discussion is open on whether this should become standard practice. Geophysical characterization of the recording sites has become a standard, and open databases have been created to host both basic and advanced station metadata crucial to the scientific interpretation of earthquake recordings. The dramatic increase in the amount of available data prompts for new dissemination strategies centered on web services, standardized and optimized data formats and the development of automatic processing techniques, which in turn require strict quality checks prior to data dissemination. Machine learning methods promise to provide an automated solution to quality checks that have traditionally been performed by visual inspection. In this session we welcome contributions on strong-motion data processing (manual and automatic) and dissemination strategies (data formats, databases, web services) as implemented by seismological agencies worldwide. We aim at collecting input from the global community to optimize and harmonize best practices in strong-motion data management.

Conveners

Carlo Cauzzi, ORFEUS, ETH Zürich (carlo.cauzzi@sed.ethz.ch)
Hamid Haddadi, California Geological Survey, California Department of Conservation, COSMOS (hamid.haddadi@conservation.ca.gov)
Giovanni Lanzano, Istituto Nazionale di Geofisica e Vulcanologia (giovanni.lanzano@ingv.it)
Eric Thompson, U.S. Geological Survey (emthompson@usgs.gov)

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