Observation network and methods

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Table of contents

1 Introduction
1.1 Background
1.2 Analysis of historical detection bulletins at IMS stations
2 Observation network and methods
2.1 Observation system
2.1.1 Array configuration and errors
2.1.2 Power spectral density of the noise at seismic and infrasound arrays
2.1.3 Review of existing databases (continuous recordings, detection bulletins, seismicity catalogs)
2.2 History of the microbarom and microseism observations in Kazakhstan
2.2.1 Generation of microseisms and microbaroms
2.2.2 Comparison between the observed backazimuths and microseism/microbarom energy distribution
2.2.3 Ocean noise recorded at European arrays
2.3 Assessment of processing methods, propagation of seismic and infrasound waves
2.3.1 Signal detection: the PMCC method
2.3.2 Assessment of source models and their validity
2.3.3 Azimuth corrections from seismicity catalogs (ISC)
2.4 Reprocessing historical infrasound records
2.4.1 PMCC processing configuration for infrasound data
2.4.2 PMCC processing configuration for seismic data
2.5 Comparison between observations and predictions
2.5.1 Comparison for infrasound arrays
2.5.2 Comparison for seismic arrays
2.5.3 Metrics to compare observations with predictions
3 Results
3.1 Microbarom detections as recorded by infrasound subnetwork and simulation results
3.2 Microseism detections as recorded by seismic sub-network and simulation results
4 Discussions
4.1 Joint analysis of the detection results
4.1.1 Dominant direction of microbaroms
4.1.2 Common microbarom/microseism backazimuths throughout network
4.2 Spatio-temporal variability of microbarom signals
4.2.1 Sudden stratospheric warming
4.2.2 Comparison of the source location results with the IFREMER model
4.3 Use of the redefined static corrections
4.3.1 Explanation of the nature of the deviations in backazimuths for the Rayleigh waves
4.4 Joint analysis of the infrasound and seismic detections bulletins for IMS and national stations
4.5 Localization of the source region
4.6 Catalog of oceanic sources for the reconstruction of atmospheric model
4.7 Direct and inverse problem solution
4.8 Comparison between PMCC detections and effective sound speed ratio
5 Conclusions
6 Perspectives
7 References
8 Publications