Source distribution of ocean microseisms and implications for time-dependent noise tomography

Abstract A qualitative analysis of ocean microseism source distribution observed in North America during fall and winter months was carried out. I review the theory of the origin of ocean microseisms and show that it can be used in conjunction with wave-wave interaction maps to quantify the source distribution anisotropy. It is demonstrated that microseisms generation in the North Atlantic and in the North Pacific Oceans are inherently different. North Atlantic microseisms are generated predominantly in the deep ocean, while North Pacific microseisms are dominated by coastal reflections. In spite of these differences both result from repeated ocean wave patterns that give rise to an anisotropic noise pattern, which cannot be randomized by time averaging. Considering time-varying ambient noise imaging, which aims to resolve a fraction of a percent changes in the crust over short distances, the source anisotropy would introduce a relatively significant error that needs to be accounted for.

[1]  Michel Campillo,et al.  3‐D surface wave tomography of the Piton de la Fournaise volcano using seismic noise correlations , 2007 .

[2]  J. Canas,et al.  Rayleigh wave attenuation and its variation across the Atlantic Ocean , 1981 .

[3]  V. Tsai On establishing the accuracy of noise tomography travel‐time measurements in a realistic medium , 2009 .

[4]  M. Longuet-Higgins A theory of the origin of microseisms , 1950, Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences.

[5]  F. Brenguier,et al.  Postseismic Relaxation Along the San Andreas Fault at Parkfield from Continuous Seismological Observations , 2008, Science.

[6]  Sharon Kedar,et al.  The origin of deep ocean microseisms in the North Atlantic Ocean , 2007, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[7]  B. Mitchell Surface-wave attenuation and crustal anelasticity in Central North America , 1973, Bulletin of the Seismological Society of America.

[8]  Michel Campillo,et al.  Towards forecasting volcanic eruptions using seismic noise , 2007, 0706.1935.

[9]  C. Langston Scattering of long-period Rayleigh waves in Western North America and the interpretation of coda Q measurements , 1989 .

[10]  M. Longuet-Higgins,et al.  An experimental study of the pressure variations in standing water waves , 1951, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[11]  R. Herrmann,et al.  Attenuation of Love and Rayleigh waves across the Pacific at periods between 15 and 110 seconds , 1976, Bulletin of the Seismological Society of America.

[12]  Peter D. Bromirski,et al.  The near‐coastal microseism spectrum: Spatial and temporal wave climate relationships , 2002 .

[13]  Richard L. Weaver,et al.  Information from Seismic Noise , 2005, Science.

[14]  W. Munk,et al.  Comparative spectra of microseisms and swell , 1963 .

[15]  Peter Gerstoft,et al.  A year of microseisms in southern California , 2007 .

[16]  Matthieu Landès,et al.  Origin of deep ocean microseisms by using teleseismic body waves , 2010 .

[17]  Michel Campillo,et al.  High-Resolution Surface-Wave Tomography from Ambient Seismic Noise , 2005, Science.

[18]  Frank L. Vernon,et al.  Strong directivity of ocean‐generated seismic noise , 2004 .

[19]  Michel Campillo,et al.  A study of the seismic noise from its long-range correlation properties , 2006 .

[20]  Michel Campillo,et al.  Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise , 2004 .