Analysing earthquake slip models with the spatial prediction comparison test

Handle URI:
http://hdl.handle.net/10754/550825
Title:
Analysing earthquake slip models with the spatial prediction comparison test
Authors:
Zhang, L.; Mai, Paul Martin ( 0000-0002-9744-4964 ) ; Thingbaijam, Kiran Kumar ( 0000-0002-2415-2266 ) ; Razafindrakoto, H. N. T.; Genton, Marc G. ( 0000-0001-6467-2998 )
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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
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
Issue Date:
10-Nov-2014
DOI:
10.1093/gji/ggu383
Type:
Article
ISSN:
0956-540X; 1365-246X
Additional Links:
http://gji.oxfordjournals.org/cgi/doi/10.1093/gji/ggu383
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorZhang, L.en
dc.contributor.authorMai, Paul Martinen
dc.contributor.authorThingbaijam, Kiran Kumaren
dc.contributor.authorRazafindrakoto, H. N. T.en
dc.contributor.authorGenton, Marc G.en
dc.date.accessioned2015-04-28T12:43:16Zen
dc.date.available2015-04-28T12:43:16Zen
dc.date.issued2014-11-10en
dc.identifier.citationAnalysing earthquake slip models with the spatial prediction comparison test 2014, 200 (1):185 Geophysical Journal Internationalen
dc.identifier.issn0956-540Xen
dc.identifier.issn1365-246Xen
dc.identifier.doi10.1093/gji/ggu383en
dc.identifier.urihttp://hdl.handle.net/10754/550825en
dc.description.abstractEarthquake 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.en
dc.publisherOxford University Press (OUP)en
dc.relation.urlhttp://gji.oxfordjournals.org/cgi/doi/10.1093/gji/ggu383en
dc.rightsArchived with thanks to Geophysical Journal International. © The Authors 2014. Published by Oxford University Press on behalf of The Royal Astronomical Society.en
dc.subjectInverse theoryen
dc.subjectSpatial analysisen
dc.subjectEarthquake source observationsen
dc.titleAnalysing earthquake slip models with the spatial prediction comparison testen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalGeophysical Journal Internationalen
dc.eprint.versionPublisher's Version/PDFen
kaust.authorGenton, Marc G.en
kaust.authorZhang, Lingen
kaust.authorMai, Paul Martinen
kaust.authorThingbaijam, Kiran Kumaren
kaust.authorRazafindrakoto, Hobyen
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