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Homogenization of magnitudes of the ISC Bulletin

Author(s)
Lolli, Barbara  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Randazzo, Daniele  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Vannucci, Gianfranco  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Biondini, Emanuele  
Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italia  
Gasperini, Paolo  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia  
Language
English
Obiettivo Specifico
OST2 Deformazione e Hazard sismico e da maremoto
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Geophysical Journal International  
Issue/vol(year)
3/234 (2023)
ISSN
0956-540X
Electronic ISSN
1365-246X
Publisher
Oxford Academic
Pages (printed)
1771-1785
Date Issued
April 18, 2023
DOI
10.1093/gji/ggad164
URI
https://www.earth-prints.org/handle/2122/16949
Subjects
Seismology
Subjects

Statistical methods

Statistical seismolog...

Earthquake source obs...

Abstract
We implemented an automatic procedure to download the hypocentral data of the online Bulletin of the International Seismological Centre (ISC) in order to produce in near real-time a homogeneous catalogue of the Global and EuroMediterranean instrumental seismicity to be used for forecasting experiments and other statistical analyses. For the interval covered by the reviewed ISC Bulletin, we adopt the ISC locations and convert the surface wave magnitude (Ms) and short-period body-wave magnitude (mb) as computed by the ISC to moment magnitude (Mw), using empirical relations. We merge the so obtained proxies with real Mw provided by global and EuroMediterranean moment tensor catalogues. For the most recent time interval (about 2 yr) for which the reviewed ISC Bulletin is not available, we do the same but using the preferred (prime) location provided by the ISC Bulletin and converting to Mw the Ms and mb provided by some authoritative agencies. For computing magnitude conversion equations, we use curvilinear relations defined in a previous work and the chi-square regression method that accounts for the uncertainties of both x and y variables.
Sponsors
H2020 EU project RISE contract n. 821115
Description
This article has been accepted for publication in Geophysical Journal International ©:The Author(s) 2023. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.Uploaded in accordance with the publisher's self-archiving policy.
All rights reserved.
Type
article
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32_Lolli_Randazzo_Vannucci_Biondini_Gasperini_2023_GJI.pdf

Size

3.82 MB

Format

Adobe PDF

Checksum (MD5)

082ece8a0809d33d2198908d075c844e

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