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

中文翻译：

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表征密集的地震声哈萨克网络记录的海洋环境噪声

在这项研究中，哈萨克斯坦共和国国家核中心地球物理研究所（IGR）的致密地震声网络被用来表征全球海洋环境噪声。由于监视设施是并置的，因此可以对海洋环境噪声进行联合地震声分析。使用基于相关性的方法处理次声和地震数据，以表征2014年至2017年微气压和微震信号的时间变化。将测量结果与法国研究机构分配的微气压和微震源模型输出进行比较。海（IFREMER）。使用与距离无关的大气中的半经验传播定律计算微气压衰减。考虑到地震衰减和测深效应，计算了微震的衰减。观察到的和预测的次声和地震信号之间的比较证实了微气压和微地震的共同来源机制。分析了多年和季节内的参数变化，揭示了远距离大气传播对微气压的预测的强烈影响。在冬季，平流层突然变暖时，主要的微生物来源位于北大西洋和北太平洋，而夏季观测到的信号可能来自南半球。但是，还需要进行其他分析以巩固这一假设。这些结果揭示了地震和声学方法的优点和缺点，并得出结论，两种技术的融合使调查工作达到了新的水平。总结的发现也为更好地描述海洋-大气-陆界面的来源（定位，强度，光谱分布）和结合机制提供了一个视角。