Spectral decomposition results for the SCEC-Community Stress Drop Validation study
Tipo Dataset
Classe Dati Sismologici e Infrasonici (terrestri e marini)
2019 Ridgecrest Sequence
Source Parameters
Spectral Decomposition
Earth Science > Solid Earth > Tectonics > Earthquakes
Geological Process > Seismic Activity > Earthquake
The Community Stress Drop Validation Study has been organized as a technical activity group (TAG) of SCEC (Southern California Earthquake Center) with the aim of investigating the source parameters of the 2019 Ridgecrest seismic sequence in California. Information about the stress drop TAG are available trough the benchmark web-page (https://www.scec.org/research/stress-drop-validation). Several groups applied different techniques to a shared data set with the objective of extracting source parameters (e.g. seismic moment and corner frequency) and in turn to estimate the stress drop. We applied a spectral decomposition approach known as generalized inversion technique (GIT) and the overall analyses are presented in a series of two articles (Bindi et al 2023a; Bindi et al 2023b). Results in the form of files, figures, and tables are disseminated through this archive.
Data e Risorse
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Citare come
Bindi D., Spallarossa D., Picozzi M., Oth A., Morasca P., Mayeda K. (2023). Spectral decomposition results for the SCEC-Community Stress Drop Validation study [Data set]. GFZ Data Services. https://doi.org/10.5880/gfz.2.6.2023.005
