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https://doi.org/10.5194/se-2020-8
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-2020-8
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  03 Mar 2020

03 Mar 2020

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A revised version of this preprint is currently under review for the journal SE.

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

Alexandr Smirnov1,2, Marine De Carlo3, Alexis Le Pichon3, Nikolai M. Shapiro2,4,5, and Sergey Kulichkov6 Alexandr Smirnov et al.
  • 1Institute of Geophysical Research, Almaty, 050020, Kazakhstan
  • 2Institut de Physique du Globe de Paris, Sorbonne Paris Cité, 75005 Paris, France
  • 3CEA, DAM, DIF, 91680 Arpajon, France
  • 4Institut de Sciences de la Terre, Université Grenoble Alpes, CNRS (UMR5275), Grenoble, France
  • 5Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Moscow, Russia
  • 6A.M. Obukhov Institute of Atmospheric Physics RAS, Moscow, 119017, Russia

Abstract. The dense seismo-acoustic network of the Institute of Geophysical Research (IGR), National Nuclear Center of the Republic of Kazakhstan, has been operating in Kazakhstan since the late nineties of the last century. It consists of four seismic and three infrasonic arrays. The IGR network includes stations part of several national and global monitoring systems. Infrasonic and seismic data are processed using the Progressive Multi-Channel Correlation (PMCC) detector to characterize the temporal variability of microbarom and microseism signals from 2014 to 2017. The non-linear interaction of ocean waves is simulated using the microseism source model distributed by the French Research Institute for Exploitation of the Sea (IFREMER). The wave attenuation is calculated using a semi-empirical propagation law in a range independent atmosphere. Comparing the observed and predicted seismic and infrasonic signals reveals the dominating directions of arrivals at each station of the IGR network and the associated source regions. Both multi-year and intra-seasonal parameter variations are analysed. The level of low-frequency noise is significantly higher in winter than in summer. In winter, sources of infrasound ambient noise are mainly located in the North Atlantic and in the North Pacific during Sudden Stratospheric Warming (SSW) events. Signals observed in summer, likely originating from source regions in the southern hemisphere, are discussed.

Alexandr Smirnov et al.

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Results of the microseism and microbarom detections by the seismo-acoustic Kazakh network and of the microbarom simulation for the infrasound arrays of the network A. Smirnov, M. De Carlo, A. Le Pichon, N. M. Shapiro, and S. Kulichkov https://doi.org/10.31905/DSW7L5BV

Alexandr Smirnov et al.

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Short summary
Seismic and infrasound are techniques used to monitor natural events and explosions. In their low-frequency band signal can be dominated by a microbaroms and microseisms. The noise observations at the Kazakh network are performed and compared with source and propagation modeling. The network is dense and well situated for studying very distant source regions of the ambient noise. The prospects are opening for using ocean noise to do solid earth and atmosphere tomography.
Seismic and infrasound are techniques used to monitor natural events and explosions. In their...
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