The SCEC Geodetic Transient-Detection Validation Exercise

Lohman, R. B.; Murray, J. R.

doi:10.1785/0220130041

Cited by 13 publications

(7 citation statements)

References 54 publications

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“…The next step following our code verification exercises will be code validation. Code validation has been conducted by groups investigating other earthquake science questions, including the SCEC Geodetic Transientdetection validation group (Lohman and Murray, 2013), the Source Inversion Validation exercise (Mai et al, 2016), and the SCEC Broadband Platform validation exercise (Goulet et al, 2014). With code validation, scientists start with the knowledge that their codes are working as intended, then confidently move forward to concentrate on understanding how and why their simulations agree or disagree with the data produced by real earthquakes.…”

Section: Discussionmentioning

confidence: 99%

A Suite of Exercises for Verifying Dynamic Earthquake Rupture Codes

Harris

Barall

Aagaard

et al. 2018

Seismological Research Letters

185

136

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Benchun Duan et al. "A suite of exercises for verifying dynamic earthquake rupture codes. " Seismological Research Letters 89, no. 3 (2018) We describe a set of benchmark exercises that are designed to test if computer codes that simulate dynamic earthquake rupture are working as intended. These types of computer codes are often used to understand how earthquakes operate, and they produce simulation results that include earthquake size, amounts of fault slip, and the patterns of ground shaking and crustal deformation. The benchmark exercises examine a range of features that scientists incorporate in their dynamic earthquake rupture simulations. These include implementations of simple or complex fault geometry, off-fault rock response to an earthquake, stress conditions, and a variety of formulations for fault friction. Many of the benchmarks were designed to investigate scientific problems at the forefronts of earthquake physics and strong ground motions research. The exercises are freely available on our website for use by the scientific community.

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Section: Discussionmentioning

confidence: 99%

A Suite of Exercises for Verifying Dynamic Earthquake Rupture Codes

Harris

Barall

Aagaard

et al. 2018

Seismological Research Letters

185

136

View full text Add to dashboard Cite

show abstract

“…The availability of data and products in real or near real time across a dense network has enabled the launch of initiatives such as the Southern California Earthquake Center's Transient Detection Exercise [ Lohman and Murray , ]. This has enabled a routine, operational assessment of nonsecular phenomena, whether they are due to, for example, the initiation of a fault creep episode or a volcanic inflation episode.…”

Section: Introductionmentioning

confidence: 99%

Plate Boundary Observatory and related networks: GPS data analysis methods and geodetic products

Herring

Melbourne

Murray

et al. 2016

Reviews of Geophysics

207

217

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The Geodesy Advancing Geosciences and EarthScope (GAGE) Facility Global Positioning System (GPS) Data Analysis Centers produce position time series, velocities, and other parameters for approximately 2000 continuously operating GPS receivers spanning a quadrant of Earth's surface encompassing the high Arctic, North America, and Caribbean. The purpose of this review is to document the methodology for generating station positions and their evolution over time and to describe the requisite trade‐offs involved with combination of results. GAGE GPS analysis involves formal merging within a Kalman filter of two independent, loosely constrained solutions: one is based on precise point positioning produced with the GIPSY/OASIS software at Central Washington University and the other is a network solution based on phase and range double‐differencing produced with the GAMIT software at New Mexico Institute of Mining and Technology. The primary products generated are the position time series that show motions relative to a North America reference frame and secular motions of the stations represented in the velocity field. The position time series themselves contain a multitude of signals in addition to the secular motions. Coseismic and postseismic signals, seasonal signals from hydrology, and transient events, some understood and others not yet fully explained, are all evident in the time series and ready for further analysis and interpretation. We explore the impact of analysis assumptions on the reference frame realization and on the final solutions, and we compare within the GAGE solutions and with others.

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“…The detection and characterization of transient events on faults is a fundamental task of tectonic geodesy, with important implications for the evaluation of the seismic hazard, and several approaches have been developed in recent times. Lohman and Murray (2013), for example, described the results of some of these different methods, ranging from the visual inspection to more refined image processing techniques, principal component analysis (PCA), Kalman filtering with spatial basis functions, space-time correlations, and so on, which have been applied in the framework of the SCEC blind transient detection project (http://collaborate.scec.org/transient, last access June 9, 2015).…”

Section: Introductionmentioning

confidence: 99%

Blind source separation problem in GPS time series

Gualandi

Serpelloni

Belardinelli

2015

J Geod

101

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A critical point in the analysis of ground displacement time series, as those recorded by space geodetic techniques, is the development of data-driven methods that allow the different sources of deformation to be discerned and characterized in the space and time domains. Multivariate statistic includes several approaches that can be considered as a part of data-driven methods. A widely used technique is the principal component analysis (PCA), which allows us to reduce the dimensionality of the data space while maintaining most of the variance of the dataset explained. However, PCA does not perform well in finding the solution to the so-called blind source separation (BSS) problem, i.e., in recovering and separating the original sources that generate the observed data. This is mainly due to the fact that PCA minimizes the misfit calculated using an L 2 norm (χ 2 ), looking for a new Euclidean space where the projected data are uncorrelated. The independent component analysis (ICA) is a popular technique adopted to approach the BSS problem. However, the independence condition is not easy to impose, and it is often necessary to introduce some approximations. To work around this problem, we test the use of a modified variational Bayesian ICA (vbICA) method to recover the multiple sources of ground deformation even in the presence Electronic supplementary material The online version of this article

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The SCEC Geodetic Transient-Detection Validation Exercise

Cited by 13 publications

References 54 publications

A Suite of Exercises for Verifying Dynamic Earthquake Rupture Codes

A Suite of Exercises for Verifying Dynamic Earthquake Rupture Codes

Plate Boundary Observatory and related networks: GPS data analysis methods and geodetic products

Blind source separation problem in GPS time series

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