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Ambient noise tomography is a rapidly emerging field of seismological research. This paper presents the current status of ambient noise data processing and its development history over the past several years, with the intention to explain and justify this development through salient examples. The ambient noise data processing procedure can be divided into four principal phases:1 single station data preparation; 2 crosscorrelation and temporal stacking; 3 measurements of dispersion curves( p erformed with frequency-time analysis for both group and phase speeds); 4 quality control,i ncluding SNR analysis and selection of the acceptable measurements. In addition,we provide a specific solution for a better use of the seismic station data to ambient noise study.
Ambient noise tomography is a rapidly emerging field of seismological research. This paper presents the current status of ambient noise data processing and its development history over the past several years, with the intention to explain and justify this development through salient examples. The ambient noise data 2corcorlation and temporal stacking; 3 measurements of dispersion curves (p erformed with frequency-time analysis for both group and phase speeds); 4 quality control, i ncluding SNR analysis and selection of the acceptable measurements. In addition, we provide a specific solution for a better use of the seismic station data to ambient noise study.