Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements
University of Colorado Boulder · Centre National de la Recherche Scientifique
Abstract
Ambient noise tomography is a rapidly emerging field of seismological research. This paper presents the current status of ambient noise data processing as it has developed over the past several years and is intended to explain and justify this development through salient examples. The ambient noise data processing procedure divides into four principal phases: (1) single station data preparation, (2) cross-correlation and temporal stacking, (3) measurement of dispersion curves (performed with frequency—time analysis for both group and phase speeds) and (4) quality control, including error analysis and selection of the acceptable measurements. The procedures that are described herein have been designed not only…
Citation impact
- FWCI
- 36.75
- Percentile
- 100%
- References
- 44
Authors
8Topics & keywords
- Data quality
- Data processing
- Repeatability
- Ambient noise level
- Computer science
- Noise (video)
- Robustness (evolution)
- Principal component analysis