A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence

Chiaraluce, Lauro; Michele, Maddalena; Waldhauser, Felix; Tan, Yen Joe; Herrmann, Marcus; Spallarossa, Daniele; Beroza, Gregory C.; Cattaneo, Marco; Chiarabba, Claudio; De Gori, Pasquale; Di Stefano, Raffaele; Ellsworth, William; Main, Ian; Mancini, Simone; Margheriti, Lucia; Marzocchi, Warner; Meier, Men-Andrin; Scafidi, Davide; Schaff, David; Segou, Margarita. 2022 A comprehensive suite of earthquake catalogues for the 2016-2017 Central Italy seismic sequence. Scientific Data, 9 (1), 710. https://doi.org/10.1038/s41597-022-01827-z

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Official URL: http://dx.doi.org/10.1038/s41597-022-01827-z

Abstract/Summary

The protracted nature of the 2016-2017 central Italy seismic sequence, with multiple damaging earthquakes spaced over months, presented serious challenges for the duty seismologists and emergency managers as they assimilated the growing sequence to advise the local population. Uncertainty concerning where and when it was safe to occupy vulnerable structures highlighted the need for timely delivery of scientifically based understanding of the evolving hazard and risk. Seismic hazard assessment during complex sequences depends critically on up-to-date earthquake catalogues—i.e., data on locations, magnitudes, and activity of earthquakes—to characterize the ongoing seismicity and fuel earthquake forecasting models. Here we document six earthquake catalogues of this sequence that were developed using a variety of methods. The catalogues possess different levels of resolution and completeness resulting from progressive enhancements in the data availability, detection sensitivity, and hypocentral location accuracy. The catalogues range from real-time to advanced machine-learning procedures and highlight both the promises as well as the challenges of implementing advanced workflows in an operational environment.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1038/s41597-022-01827-z
ISSN:	2052-4463
Date made live:	07 Dec 2022 13:16 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/533697

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1038/s41597-022-01827-z

ISSN:

2052-4463

Date made live:

07 Dec 2022 13:16 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/533697