Characterizing the oceanic ambient noise as recorded by the dense seismo-acoustic Kazakh network

Abstract. In this study, the dense seismo-acoustic network of Institute Geophysical Research (IGR), National Nuclear Centre Republic Kazakhstan, is used to characterize global ocean ambient noise. As monitoring facilities are collocated, allows for a joint analysis oceanic Infrasonic and seismic data processed using correlation-based method temporal variability microbarom microseism signals from 2014 2017. The measurements compared with source model output that distributed by French Exploitation Sea (IFREMER). attenuation calculated semi-empirical propagation law in range-independent atmosphere. microseisms taking into account bathymetry effect. Comparisons between observed predicted infrasonic confirm common mechanism both microbaroms microseisms. Multi-year intra-seasonal parameter variations analyzed, revealing strong influence long-range atmospheric on predictions. winter, dominating sources located North Atlantic Pacific during sudden stratospheric warming events, while summer could originate Southern Hemisphere; however, additional analyses required consolidate hypothesis. These results reveal strengths weaknesses acoustic methods lead conclusion fusion two techniques brought investigation new level findings. Summarized findings also provide perspective better description (localization, intensity, spectral distribution) bonding mechanisms ocean–atmosphere–land interfaces.