B3AM me up!
Löer & Finger developed an open-source code package in MATLAB and Python to perform three-component beamforming of seismic noise for dispersion analysis, wavefield composition, noise source distribution, and more:
https://seismica.library.mcgill.ca/article/view/1343
#python #matlab #seismicnoise #noise #Seismology #EarthquakeScience #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience
Makus & Sens-Schönfelder introduce SeisMIC, which enables end-to-end processing from raw data to a velocity-change time series.
They show how it not only allows for spatial imaging, but also how it is highly efficient, adaptable, and user-friendly:
https://seismica.library.mcgill.ca/article/view/1099
#seismology #earthquakescience #peerreviewed #diamondopenaccess #earthquake #openaccess #openscience #python #noise #seismicnoise
Synchronizing the internal clocks of Ocean Bottom Seismometers has always been a complicated challenge.
Naranjo et al. introduce "OCloC", an open-source package that leverages ambient seismic noise to solve this issue in large-scale networks.
See how:
https://seismica.library.mcgill.ca/article/view/367
#Seismology #EarthquakeScience #peerreviewed #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience #seismometer #seismicnoise
Schippkus et al. show that, because they are correlated in time, ocean microseisms induce repeating waves in correlations of ambient seismic noise.
This could have significant implications for seismic monitoring based on relative velocity changes.
more: https://seismica.library.mcgill.ca/article/view/499
#Seismology #EarthquakeScience #DiamondOpenAccess #Earthquake #OpenAccess #Seismicnoise
Discover how Kennett et al. achieved successful seismic wave correlation despite non-ideal noise source distributions. Their insights on optimizing interstation geometries benefit Large-N arrays and Distributed Acoustic Sensing (DAS) arrays.
read it here: https://doi.org/10.26443/seismica.v2i2.389
#Seismology #EarthquakeScience #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience #seismicnetwork #Seismicnoise #DAS
Using dark fibers and traffic noise, Czarny et al. analyze signal-to-noise ratios and source distribution of Rayleigh waves, characterizing the factors influencing surface wave propagation in an urban area.
Read more:
https://seismica.library.mcgill.ca/article/view/247
#Seismology #EarthquakeScience #DiamondOpenAccess #Earthquake #OpenAccess #OpenScience #Seismicnoise #rayleighwaves
