2021
DOI: 10.1029/2021tc006740
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Strain Partitioning and Interseismic Fault Behavior Along the Caribbean‐South American Transform Plate Boundary

Abstract: We combine Global Positioning System and Interferometric Synthetic Aperture Radar (InSAR) data to characterize the interseismic behavior (i.e., locked or creeping), and strain partitioning for the faults along the Caribbean‐South American transform plate boundary. Interseismic strain is distributed mainly on three faults, the San Sebastian, El Pilar, and Central Range faults, but partitioning occurs across multiple faults in the west (San Sebastian and La Victoria faults) and east (Sub‐Tobago Terrane, Central … Show more

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Cited by 4 publications
(3 citation statements)
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“…Daily GPS static positions were produced using the methods of Higgins et al. (2021). A minimum of 2.5 years of daily positions (see Blewitt & Lavallée, 2002) for episodic GPS (eGPS) and continuous GPS (cGPS) were used to determine the velocity field (Table S1 in Supporting Information S1).…”
Section: Methodsmentioning
confidence: 99%
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“…Daily GPS static positions were produced using the methods of Higgins et al. (2021). A minimum of 2.5 years of daily positions (see Blewitt & Lavallée, 2002) for episodic GPS (eGPS) and continuous GPS (cGPS) were used to determine the velocity field (Table S1 in Supporting Information S1).…”
Section: Methodsmentioning
confidence: 99%
“…We inverted the GPS‐derived horizontal velocity profiles, for a single, vertical, margin‐parallel fault using the analytical elastic dislocation model (Savage & Burford, 1973), solving for the fault offset (position along profile), interseismic slip deficit rate, and locking depth. We employed a hybrid Monte Carlo strategy, where velocities were perturbed by random sampling within the range of the observed velocities and their uncertainties and the solution sought using the fmincon minimizer in the Matlab software (Higgins et al., 2021). Uncertainties were calculated from the resulting probability distributions (Figures S1 and S2 in Supporting Information S1).…”
Section: Methodsmentioning
confidence: 99%
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