Automated Data Processing and Dissemination Workflow of the European Rapid Raw Strong Motion System
Session: Strong-Motion Data Processing and Dissemination: State-of-the-Art and Outlook
Type: Oral
Date: 4/23/2021
Presentation Time: 10:15 AM Pacific
Description:
We present the data processing and publication workflow of the European Rapid Raw Strong Motion system (RRSM, http://orfeus-eu.org/rrsm), a service within ORFEUS (Observatories and Research facilities for European Seismology; http://orfeus-eu.org/) which delivers automatically computed peak ground motions (PGM) and engineering intensity measures (IM) within minutes of the occurrence of any M3.5+ earthquake in the greater European region. The automated data retrieval, processing and publication procedure of the RRSM system is triggered by earthquake alerts of the EMSC (https://www.emsc-csem.org/Earthquake/) and uses all available on-scale high-sampling-rate data from the European Integrated Data Archive (EIDA; http://orfeus-eu.org/data/eida/) within a given magnitude-dependent distance from the earthquake location. Data and metadata collection relies on federated FDSN (station, dataselect) and EIDA-specific (routing) web services (http://orfeus-eu.org/data/eida/webservices/). Waveform processing is carried out by the SeisComP module scwfparam (https://www.seiscomp.de/doc/apps/scwfparam.html) and follows the typical steps of digital signal processing, including saturation checks, restitution, filtering, integration / differentiation, based on a set of configurable options and parameters. Scwfparam also provides processed waveforms, response spectra, and formatted PGM input to ShakeMap. The results are disseminated via a web interface developed in Django (https://www.djangoproject.com/) and fed by ad-hoc PGM & IM web services. Additional quality checks are performed by the web interface, aimed at automatically blanketing suspicious PGM values based on physical and seismological considerations. Among the aims of this contribution is to encourage community feedback for improvements.
Presenting Author: Carlo Cauzzi
Student Presenter: No
Authors
Carlo Cauzzi Presenting Author Corresponding Author carlo.cauzzi@sed.ethz.ch ORFEUS & Swiss Seismological Service at ETH Zürich |
Jarek Bieńkowski jarek.bienkowski@knmi.nl ORFEUS Data Center and Royal Netherlands Meteorological Institute (KNMI) |
John Clinton jclinton@sed.ethz.ch Swiss Seismological Service, ETH Zürich |
Reinoud Sleeman reinoud.sleeman@knmi.nl ORFEUS Data Center and Royal Netherlands Meteorological Institute (KNMI) |
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Automated Data Processing and Dissemination Workflow of the European Rapid Raw Strong Motion System
Category
Strong-motion Data Processing and Dissemination: State-of-the-Art and Outlook