EGU25-10585, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-10585
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 30 Apr, 08:30–10:15 (CEST), Display time Wednesday, 30 Apr, 08:30–12:30
 
Hall X1, X1.140
Enhanced, High-Quality, Semi-Automated Processing for the Engineering Strong-Motion Database (ESM) and Associated Data Products.
Emiliano Russo1, Claudia Mascandola1, Lucia Luzi1, Chiara Felicetta1, Giovanni Lanzano1, John Clinton2, Carlo Cauzzi2, and the SM-SMC Orfeus*
Emiliano Russo et al.
  • 1Istituto Nazionale di Geofisica e Vulcanologia - INGV, Milano, Italy
  • 2Swiss Seismological Service, ETH Zurich, Zurich, Switzerland
  • *A full list of authors appears at the end of the abstract

ORFEUS (Observatories and Research Facilities for European Seismology; https://www.orfeus-eu.org/) promotes the coordinated development of waveform seismology data services in the Euro-Mediterranean region, including the rapid raw strong‐motion (RRSM; https://orfeus-eu.org/rrsm/) and the engineering strong‐motion (ESM; https://esm-db.eu/) databases and associated web interfaces and webservices. The RRSM uses only on-scale, automatically-processed recordings available from the European Integrated Waveform Data Archive (EIDA; https://www.orfeus-eu.org/data/eida/), whereas the ESM data collects both EIDA and off-line data and results are presently published online after expert revision and approval. 

As seismic stations density continues to increase and the scope of seismic hazard & risk applications evolves to include magnitude/distance/amplitude/instrumentation ranges beyond traditional ‘strong-motion’ seismology, manually reviewed waveform processing in the ESM needs to be strongly supported and eventually replaced by high-quality automated processing. To this end, we introduced ESMpro, a modular Python-based software designed for the updated processing framework of ESM. The software is currently available in a stand-alone Beta version on GitLab (https://shake.mi.ingv.it/esmpro/) and it is in development stage on the ESM database. An enhanced  graphic interface is also in beta testing.

ESMpro automates waveform trimming and filtering, identifies poor-quality data and multiple events, and classifies records into quality categories based on detected features and warnings. This reduces the number of records that require manual revision to a significantly smaller subset. Further, the reproducibility of the dataset means the ESM archive will be ML-ready, allowing the development of emerging strategies for data processing and waveform feature detection based on ML techniques. Additionally, ESMpro has a modular and flexible design that allows integration of different processing schemes. Currently, besides the standard processing adopted in ESM, it also includes the eBasco scheme, specifically tailored to process near-source records featuring fling-step.

Testing conducted on manually processed ESM waveforms demonstrates a strong alignment between automatic and manual data processing, strongly supporting the shift toward fully automated procedures for large-scale data processing that will consolidate RRSM and ESM databases into a single infrastructure in the future.

SM-SMC Orfeus:

Jarek Bienkowski jarek.bienkowski@knmi.nl ORFEUS Data Center and Royal Netherlands Meteorological Institute, De Bilt, Netherlands Reinoud Sleeman reinoud.sleeman@knmi.nl ORFEUS Data Center and Royal Netherlands Meteorological Institute, De Bilt, Netherlands Alexander Marmureanu marmura@infp.ro National Institute for Earth Physics (NIEP), Bucarest, Romania Andrea Predoiu andreea.predoiu@infp.ro National Institute for Earth Physics (NIEP), Bucarest, Romania Olga J Ktenidou olga.ktenidou@noa.gr National Observatory of Athens, Athens, Greece Nikolaus Melis nmelis@noa.gr National Observatory of Athens, Athens, Greece Nikolaus Theodulidis ntheo@itsak.gr Institute of Engineering Seismology and Earthquake Engineering (ITSAK), Thessaloniki, Greece Kiriaki Konstantinidou kiriaki@itsak.gr Institute of Engineering Seismology and Earthquake Engineering (ITSAK), Thessaloniki, Greece Fabrice Hollander fabrice.hollender@cea.fr Atomic Energy and Alternative Energies Commission, Cadarache, France Vincent Perron vincent.perron@cea.fr Atomic Energy and Alternative Energies Commission, Cadarache, France Evi Riga eviriga@civil.auth.gr Aristotle University of Thessaloniki, Thessaloniki, Greece Maria Manakou manakou@civil.auth.gr Aristotle University of Thessaloniki, Thessaloniki, Greece Didem Cambaz didem.samut@bogazici.edu.tr Bogaziçi University, Kandilli Observatory and Earthquake Research Institute (KOERI), Istanbul,Turkey Hufuk Hancilar hancilar@gmail.com Bogaziçi University, Kandilli Observatory and Earthquake Research Institute (KOERI), Istanbul,Turkey Zafeiria Roumelioti zroumelioti@upatras.gr Department of Geology, University of Patras (UPAT), Patras, Greece Efthimios Sokos esokos@upatras.gr Department of Geology, University of Patras (UPAT), Patras, Greece Anita Jerše Sharma anita.jerse-sharma@gov.si Slovenian Environment Agency (ARSO), Ljubljana, Slovenia Polona Zupancic polona.zupancic@gov.si Slovenian Environment Agency (ARSO), Ljubljana, Slovenia Kris Vanneste kris.vanneste@oma.be Seismology-Gravimetry, Royal Observatory of Belgium, Brussels, Belgium Jadranka Mihaljevic mihaljevic@seismo.co.me Institute of Hydrometeorology and Seismology, Podgorica, Montenegro Graeme Weatherill gweather@gfz-potsdam.de GFZ Postdam, Potsdam, Germany Rajesh Rupakhety rajesh@hi.is University of Iceland, Reykjavík, Iceland Eren Tepeuğur eren.tepeugur@afad.gov.tr Ministry of Interior Disaster and Emergency Management Authority, Ankara, Turkey

How to cite: Russo, E., Mascandola, C., Luzi, L., Felicetta, C., Lanzano, G., Clinton, J., and Cauzzi, C. and the SM-SMC Orfeus: Enhanced, High-Quality, Semi-Automated Processing for the Engineering Strong-Motion Database (ESM) and Associated Data Products., EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-10585, https://doi.org/10.5194/egusphere-egu25-10585, 2025.