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    Analysing earthquake slip models with the spatial prediction comparison test

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    Type
    Article
    Authors
    Zhang, Ling
    Mai, Paul Martin cc
    Thingbaijam, Kiran Kumar cc
    Razafindrakoto, Hoby cc
    Genton, Marc G. cc
    KAUST Department
    Computational Earthquake Seismology (CES) Research Group
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Spatio-Temporal Statistics and Data Analysis Group
    Statistics Program
    Date
    2014-11-10
    Online Publication Date
    2014-11-10
    Print Publication Date
    2015-01-01
    Permanent link to this record
    http://hdl.handle.net/10754/550825
    
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    Abstract
    Earthquake rupture models inferred from inversions of geophysical and/or geodetic data exhibit remarkable variability due to uncertainties in modelling assumptions, the use of different inversion algorithms, or variations in data selection and data processing. A robust statistical comparison of different rupture models obtained for a single earthquake is needed to quantify the intra-event variability, both for benchmark exercises and for real earthquakes. The same approach may be useful to characterize (dis-)similarities in events that are typically grouped into a common class of events (e.g. moderate-size crustal strike-slip earthquakes or tsunamigenic large subduction earthquakes). For this purpose, we examine the performance of the spatial prediction comparison test (SPCT), a statistical test developed to compare spatial (random) fields by means of a chosen loss function that describes an error relation between a 2-D field (‘model’) and a reference model. We implement and calibrate the SPCT approach for a suite of synthetic 2-D slip distributions, generated as spatial random fields with various characteristics, and then apply the method to results of a benchmark inversion exercise with known solution. We find the SPCT to be sensitive to different spatial correlations lengths, and different heterogeneity levels of the slip distributions. The SPCT approach proves to be a simple and effective tool for ranking the slip models with respect to a reference model.
    Citation
    Analysing earthquake slip models with the spatial prediction comparison test 2014, 200 (1):185 Geophysical Journal International
    Publisher
    Oxford University Press (OUP)
    Journal
    Geophysical Journal International
    DOI
    10.1093/gji/ggu383
    Additional Links
    http://gji.oxfordjournals.org/cgi/doi/10.1093/gji/ggu383
    ae974a485f413a2113503eed53cd6c53
    10.1093/gji/ggu383
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Statistics Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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