Summary
Ambient seismic noise is mainly generated in oceans through the interactions between the atmosphere, ocean waves, and the solid Earth. Study areas located near the edges of continents are thus subject to receiving an inhomogeneous noise field which could cause bias in ambient noise wave attenuation measurements and tomography studies. Ambient seismic noise characteristics across SE Canada and the NE USA are studied in detail at a regional scale for the first time, due to the availability of over two years of data (2013-2015) recorded at 69 broadband seismographs. This large, dense data set allowed us to use a back-projection technique to investigate both the azimuthal and temporal variations of the ambient noise. This method is based on a statistical analysis of signal-to-noise ratios (SNR) of the waveforms in the calculated empirical Green’s functions for pairs of stations. We propose a new method of analyzing the SNR by modifying the already existing concept of fan diagrams to include both causal and acausal components of the noise cross-correlograms in the analysis. We investigate directional and seasonal variations of the recorded noise data across the study area at the three main passbands of the seismic noise spectrum including the secondary microseisms (SM; 3-10 s), the primary microseisms (PM; 10-30 s), and the seismic hum (Hum; 30-300 s). We observe that the strongest and weakest signals are received at the SM and Hum bands respectively. Considering the results of this study along with those from previous studies, we conclude that the strongest seismic noise arrivals at the three passbands investigated in this study (i.e., SM, PM, Hum) are generated at different locations in the Atlantic, Pacific, and Arctic oceans.
