Turing-style tests for UCERF3 synthetic catalogs
July 17, 2018
Epidemic-Type Aftershock Sequence (ETAS) catalogs generated from the 3rd Uniform California Earthquake Rupture Forecast (UCERF3) model are unique in that they are the first to combine a complex, fault-based long-term forecast with short-term earthquake clustering statistics. We present Turing-style tests to examine whether these synthetic catalogs can successfully imitate observed earthquake behavior in California. We find that UCERF3-ETAS is more spatially diffuse than the observed historic catalog in California and that it is lacking quiet periods that are present in the real catalog. While mean aftershock productivity of the observed catalog is matched closely by UCERF3-ETAS, the real catalog has more inter-sequence productivity variability and small mainshocks have more foreshocks. In sum, we find that UCERF3-ETAS differs from the observed catalog in ways that are foreseeable from its modeling simplifications. The tests we present here can be used on any model which produces suites of synthetic catalogs; as such, in addition to providing avenues for future improvements to the model, they could also be incorporated into testing platforms such as Collaboratory for the Study of Earthquake Predictability (CSEP).
Citation Information
Publication Year | 2018 |
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Title | Turing-style tests for UCERF3 synthetic catalogs |
DOI | 10.1785/0120170223 |
Authors | Morgan T. Page, Nicholas van der Elst |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Bulletin of the Seismological Society of America |
Index ID | 70198146 |
Record Source | USGS Publications Warehouse |
USGS Organization | Earthquake Science Center |