Articles | Volume 20, issue 12
https://doi.org/10.5194/nhess-20-3611-2020
https://doi.org/10.5194/nhess-20-3611-2020
Research article
 | 
23 Dec 2020
Research article |  | 23 Dec 2020

Fault network reconstruction using agglomerative clustering: applications to southern Californian seismicity

Yavor Kamer, Guy Ouillon, and Didier Sornette

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (18 Oct 2020) by Filippos Vallianatos
AR by Yavor Kamer on behalf of the Authors (19 Oct 2020)  Author's response   Manuscript 
ED: Publish as is (22 Oct 2020) by Filippos Vallianatos
AR by Yavor Kamer on behalf of the Authors (16 Nov 2020)  Manuscript 
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Short summary
Earthquakes cluster in space highlighting fault structures in the crust. We introduce a method to identify such patterns. The method follows a bottom-up approach that starts from many small clusters and, by repeated mergings, produces a larger, less complex structure. We test the resulting fault network model by investigating its ability to forecast the location of earthquakes that were not used in the study. We envision that our method can contribute to future studies relying on fault patterns.
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