Estimation of Arctic ice thickness from ambient noise
Author(s) -
Olga Chernets,
J. Robert Fricke
Publication year - 1994
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.411109
Subject(s) - arctic , sea ice , arctic ice pack , noise (video) , geology , ambient noise level , ice sheet , fracture (geology) , acoustics , stress (linguistics) , convolution (computer science) , depth sounding , materials science , remote sensing , environmental science , climatology , sound (geography) , oceanography , computer science , physics , geotechnical engineering , linguistics , philosophy , artificial intelligence , machine learning , artificial neural network , image (mathematics)
An estimate of total ice mass in the Arctic is an important parameter for global climate studies, but there are no direct means for providing this information. A surrogate measurement, spatial integration of ice thickness, is being pursued by several groups using active acoustic and electromagnetic methods. As a complement to these efforts, the passive estimation of ice thickness using ambient noise caused by thermal and mechanical stress cracks in the ice sheet is focused on. The acoustic signal received from propagating stress cracks is the convolution of an elemental fracture source function and the spatial distribution function (array) of the propagating crack. This analytic result predicts a tonal spectral component of O(1 kHz) that relates directly to ice thickness. Experimental data collected in the Beaufort Sea during the spring of 1994 demonstrates the presence of this spectral peak, which correlates well with the measured ice thickness at the site.
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