Geoacoustic inversion by mode amplitude perturbation
Poole, Travis L.
Frisk, George V.
Lynch, James F.
Pierce, Allan D.
MetadataShow full item record
This paper introduces a perturbative inversion algorithm for determining sea floor acoustic properties, which uses modal amplitudes as input data. Perturbative inverse methods have been used in the past to estimate bottom acoustic properties in sediments, but up to this point these methods have used only the modal eigenvalues as input data. As with previous perturbative inversion methods, the one developed in this paper solves the nonlinear inverse problem using a series of approximate, linear steps. Examples of the method applied to synthetic and experimental data are provided to demonstrate the method's feasibility. Finally, it is shown that modal eigenvalue and amplitude perturbation can be combined into a single inversion algorithm that uses all of the potentially available modal data.
Author Posting. © Acoustical Society of America, 2008. This article is posted here by permission of Acoustical Society of America for personal use, not for redistribution. The definitive version was published in Journal of the Acoustical Society of America 123 (2008): 667-678, doi:10.1121/1.2821975.
Showing items related by title, author, creator and subject.
How well would modern-day oceanic property distributions be known with paleoceanographic-like observations? Gebbie, Geoffrey; Streletz, Gregory J.; Spero, Howard J. (John Wiley & Sons, 2016-04-08)Compilations of paleoceanographic observations for the deep sea now contain a few hundred points along the oceanic margins, mid-ocean ridges, and bathymetric highs, where seawater conditions are indirectly recorded in the ...
Parazoo, N. C.; Denning, A. S.; Berry, J. A.; Wolf, Aaron S.; Randall, D. A.; Kawa, S. Randolph; Pauluis, O.; Doney, Scott C. (American Geophysical Union, 2011-05-12)Atmospheric mixing ratios of CO2 are strongly seasonal in the Arctic due to mid-latitude transport. Here we analyze the seasonal influence of moist synoptic storms by diagnosing CO2 transport from a global model on moist ...
Wang, Jinbo; Flierl, Glenn R.; LaCasce, Joseph H.; McClean, Julie L.; Mahadevan, Amala (American Meteorological Society, 2013-08)A new method is proposed for extrapolating subsurface velocity and density fields from sea surface density and sea surface height (SSH). In this, the surface density is linked to the subsurface fields via the surface ...