Acoustic Propagation Uncertainty in the Shallow East China Sea

Acoustic transmission loss (TL) and supporting ocean environmental data collected during the Asian Seas International Acoustics Experiment (ASIAEX) on June 3, 2001, in the East China Sea (ECS), in a water depth of approximately 100 m are presented. Objectives of the data analysis are to explore the...

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Bibliographic Details
Published in:IEEE journal of oceanic engineering 2006-04, Vol.31 (2), p.368-383
Main Authors: Abbot, P., Dyer, I., Emerson, C.
Format: Article
Language:English
Subjects:
Acoustic propagation
China
Data analysis
Data processing
Fluctuations
Higher order statistics
Littoral environment
Marine
Oceans
Propagation losses
Robustness
Sea measurements
Standard deviation
Statistics
Stochastic processes
Studies
transmission loss (TL)
Uncertainty
underwater acoustic measurements
underwater acoustic propagation
underwater acoustics
Water depth
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Summary:Acoustic transmission loss (TL) and supporting ocean environmental data collected during the Asian Seas International Acoustics Experiment (ASIAEX) on June 3, 2001, in the East China Sea (ECS), in a water depth of approximately 100 m are presented. Objectives of the data analysis are to explore the stochastic nature of TL in terms of the mean (mu TL ) and the fluctuations around the mean (as described by the standard deviation (sigma TL ) and higher order statistics). In particular, we conjecture that mu TL robustly reflects the macrostate of the ocean, including the bottom, whereas uncertainties in TL as measured by sigma TL are related to the microstate of the ocean, again including the bottom. Comparisons are made to TL data at a similar location, 200 km from the ASIAEX site, in waters of the same depth, by the Harsh Environment Program in September 1997. The TL is shown to be approximately horizontally isotropic with exception to a discrete anisotropic feature likely caused by internal waves. Various mechanisms of uncertainty are discussed to describe the microstate. These were not sufficiently resolved to identify the primary cause of variability
ISSN:0364-9059
1558-1691
DOI:10.1109/JOE.2006.875103