Cumulative rate analysis (CURATE): A clustering algorithm for swarm dominated catalogs
Article first published online: 12 FEB 2013
©2012. American Geophysical Union. All Rights Reserved.
Journal of Geophysical Research: Solid Earth
Volume 118, Issue 2, pages 553–569, February 2013
How to Cite
2013), Cumulative rate analysis (CURATE): A clustering algorithm for swarm dominated catalogs, J. Geophys. Res. Solid Earth, 118, 553–569, doi:10.1029/2012JB009222., , , and (
- Issue published online: 16 APR 2013
- Article first published online: 12 FEB 2013
- Manuscript Accepted: 1 NOV 2012
- Manuscript Revised: 31 OCT 2012
- Manuscript Received: 9 FEB 2012
 We present a new cumulative rate (CURATE) clustering method to identify earthquake sequences especially in regions with swarm activity. The method identifies sequences by comparing observed rates to an average rate. It is distinct from previous clustering techniques in that no direct assumptions about physical processes relating to temporal decay or earthquake-earthquake interaction are made. Instead these assumptions are replaced by a more general one, that earthquakes occurring within a sequence likely share a common physical trigger, which is manifested by a change in rate. The use of rate as the primary selection parameter emphasizes that temporal proximity is the main commonality among different sequence types. To investigate catalog-scale earthquake sequence characteristics, we apply the method along with four standard (de-)clustering methods to a catalog of 4845 M ≥ 2.45 earthquakes from 1993 through 2007 in the Central Volcanic Region of New Zealand. Despite the distinct focus of the method on sequence formation, the declustered catalog of the CURATE method sits within the suite of declustered catalogs produced by other methods. A stochastic reconstruction based on epidemic-type aftershock sequence parameters is also presented to test the differences between catalogs that exclusively contain mainshock-aftershock sequences and areas that exhibit multiple physical processes. We test the declustered catalogs produced by all methods for a Poisson temporal distribution and propose that this be used to ensure reasonable selection parameters. The CURATE method will be especially useful for identifying swarms, creating likelihoods of the size and duration of sequences, and refining earthquake forecasts that include swarms at regional and local scales.