JSON format icon JSON RDF format icon RDF ISO19115-3 XML

Towards Improving ML Estimates for Local Earthquakes Made by Geoscience Australia’s Earthquake Monitoring System

ARCHIVED

Created 14/01/2025

Updated 14/01/2025

JSON format icon JSON RDF format icon RDF ISO19115-3 XML

Here we undertake a statistical analysis of local magnitudes (ML) calculated using the two real-time earthquake monitoring software platforms use by Geoscience Australia (GA) since 2005, Antelope and Seiscomp. We examine a database of just over 10 years duration, during a period in which both systems were in operation and over 4000 earthquakes were located and magnitudes estimated. We examine the consistency of both single-station and network ML estimates of both systems, with a view toward determining guidelines for combining them into a single catalogue, as well as for determining best practice in the for the estimation of local magnitudes for regions of sparse seismic networks. Once this guidance has been developed, it is the intention of GA to re-process magnitudes for all earthquakes using a consistent approach where digital data are available and can be integrated within the currently-used SeisComP system. This paper was presented at the Australian Earthquake Engineering Society 2021 Virtual Conference, Nov 25 – 26.

Files and APIs

Tags

Additional Info

Field Value
Title Towards Improving ML Estimates for Local Earthquakes Made by Geoscience Australia’s Earthquake Monitoring System
Language eng
Licence Not Specified
Landing Page https://devweb.dga.links.com.au/data/dataset/fc145082-70a4-474a-8b74-06a8f8ca33fd
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 08/04/2019
Geospatial Coverage
Map data © OpenStreetMap contributors
Data Portal Data.gov.au