Summary
We develop a simple methodology to extract information related to crustal structure such as the mean VP/VS ratio, the magnitude of lateral variations and the presence of discontinuities from a selection of receiver functions. We show that crustal phases can be detected and exploited on individual receiver functions. Two filtering techniques, based on singular value decomposition and spectral matrix filtering, are proposed to enhance the coherent phases in receiver functions. Additionally, the relative traveltimes and slownesses between the different phases are utilized for a more reliable phase identification. We apply these methods to data of station PRU (Czech Republic) and compare the results with a classical time‐domain waveform inversion. We find a good qualitative agreement between the simple crustal models inferred from the two approaches. Waveform modelling suggests that the identification of converted phases can still be ambiguous and other geophysical or geological constraints are needed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.