The service RAMONES (Rapid Assessment of MOmeNt and Energy Service) is designed, developed and maintained by the seismological group of the University of Genoa (Spallarossa et al., 2020). Among other parameters, RAMONES disseminates rapid estimates of seismic moment and radiated energy of earthquakes occurring in central Italy, using waveforms data retrieved from EIDA (European Integrated Data Archive) and the Italian Civil Protection (DPC) strong motion network. Parametric information, such as earthquake locations, are extracted from the INGV (National Institute for Geophysics and Volcanology) bulletin. The source parameters are estimated using features extracted directly from recordings, following methodologies developed through scientific collaborations with the German Research Centre for Geosciences (GFZ-Potsdam), University of Naples, and INGV, and described in Picozzi et al. (2017), Bindi et al. (2018), Spallarossa et al (2020).
Application Region: Central ItalyCredits and Copyright
RAMONES (Rapid Assessment of MOmeNt and Energy Service) service is designed, developed and maintained by the seismological group of the University of Genoa. The source parameters are estimated using features extracted directly from recordings, following methodologies developed through scientific collaborations between the University of Genoa, the German Research Centre for Geosciences (GFZ-Potsdam), the University of Naples, and the Italian National Institute of Geophysics and Vulcanology (INGV).
If you use these data, please cite the original paper: doi:10.1785/0220200348
Reproduction is authorised only if the source is cited in a complete and comprehensive way.
References
- Spallarossa, D., M. Picozzi, D. Scafidi, P. Morasca, C. Turino and D. Bindi (2021). RAMONES, the Rapid Assessment of MOmeNt and Energy Service in Central Italy: Concepts, capabilities and future perspectives, Seismological Reasearch Letters, doi:10.1785/0220200348.
- Bindi, D., D., Spallarossa, M., Picozzi, D., Scafidi and F. Cotton (2018). Impact of magnitude selection on aleatory variability associated with Ground-Motion Prediction Equations: Part I—local, energy, and moment magnitude calibration and stress-drop variability in central Italy, Bull. Seism. Soc. Am., 108(3A), 1427–1441.
- Picozzi, M., D. Bindi, P. Brondi, D. Di Giacomo, S. Parolai, and A. Zollo (2017). Rapid determination of P wave-based energy magnitude: Insights on source parameter scaling of the 2016 Central Italy earthquake sequence, Geophys. Res. Lett., 44, doi:10.1002/2017GL073228.