期刊
GEOPHYSICAL JOURNAL INTERNATIONAL
卷 211, 期 1, 页码 30-44出版社
OXFORD UNIV PRESS
DOI: 10.1093/gji/ggx284
关键词
Seismic interferometry; Seismic noise; Surface waves and free oscillations; Wavelet transform
资金
- 7th European Framework Program Marie Curie COFUND [600385]
- TIDES COST Actions [ES1401]
- Spanish MISTERIOS project [CGL2013-48601-C2-1-R]
- ANR MIMOSA project [ANR-16-CE33-0005]
Stacks of ambient noise correlations are routinely used to extract empirical Green's functions (EGFs) between station pairs. The time-frequency phase-weighted stack (tf-PWS) is a physically intuitive nonlinear denoising method that uses the phase coherence to improve EGF convergence when the performance of conventional linear averaging methods is not sufficient. The high computational cost of a continuous approach to the time-frequency transformation is currently a main limitation in ambient noise studies. We introduce the time-scale phaseweighted stack (ts-PWS) as an alternative extension of the phase-weighted stack that uses complex frames of wavelets to build a time-frequency representation that is much more efficient and fast to compute and that preserve the performance and flexibility of the tf-PWS. In addition, we propose two strategies: the unbiased phase coherence and the two-stage ts-PWS methods to further improve noise attenuation, quality of the extracted signals and convergence speed. We demonstrate that these approaches enable to extract minor-and major-arc Rayleigh waves (up to the sixth Rayleigh wave train) from many years of data from the GEOSCOPE global network. Finally we also show that fundamental spheroidal modes can be extracted from these EGF.
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