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DE200415006177

Publication Date	2001
Personal Author	Meyers, S. C.
Page Count	18
Abstract	Calibration of seismic nuclear test monitoring stations relies on a diverse reference-event database. The reference-event covariance structure must be characterized and the covariance propagated to subsequent processes and calibration products. In seismic location one of the first steps in the calibration process is declustering, in which closely spaced epicenters are combined to reduce redundant data and random observational errors. We formulate a new declustering procedure that accounts for correlated and uncorrelated components of reference-event error, producing a declustered data set that tracks raw reference-event uncertainties. Declustering behavior is demonstrated using example data sets.
Keywords	Calibration Seismic data Test and evaluation Monitoring Data covariances Seismic arrays Nuclear explosions Databases Seismic effects Epicenters Mathematical models Equations Reference-events Knowledge Base Calibration and Integration Tool (KBCIT) Ground-based Nuclear Explosion Monitoring (GNEM) program Declustering
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200415

Methods of Travel-Time Residual Declustering for the Knowledge Base Calibration and Integration Tool (KBCIT).

Methods of Travel-Time Residual Declustering for the Knowledge Base Calibration and Integration Tool (KBCIT).
DE200415006177

Publication Date	2001
Personal Author	Meyers, S. C.
Page Count	18
Abstract	Calibration of seismic nuclear test monitoring stations relies on a diverse reference-event database. The reference-event covariance structure must be characterized and the covariance propagated to subsequent processes and calibration products. In seismic location one of the first steps in the calibration process is declustering, in which closely spaced epicenters are combined to reduce redundant data and random observational errors. We formulate a new declustering procedure that accounts for correlated and uncorrelated components of reference-event error, producing a declustered data set that tracks raw reference-event uncertainties. Declustering behavior is demonstrated using example data sets.
Keywords	Calibration Seismic data Test and evaluation Monitoring Data covariances Seismic arrays Nuclear explosions Databases Seismic effects Epicenters Mathematical models Equations Reference-events Knowledge Base Calibration and Integration Tool (KBCIT) Ground-based Nuclear Explosion Monitoring (GNEM) program Declustering
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200415