Yellow Sea acoustic uncertainty caused by hydrographic data error
Haeger, Steven D.
Keenan, Ruth E.
Fox, Daniel N.
Chu, Peter C.
Cintron, Carlos J.
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This paper investigates the acoustic uncertainty due to hydrographic data error and in turn to determine the necessity of a near real time ocean analysis capability such as the Naval Oceanographic Office’s (NAVOCEANO) Modular Ocean Data Assimilation System (MODAS) model in shallow water (such as the Yellow Sea) mine hunting applications using the Navy’s Comprehensive Acoustic Simulation System / Gaussian Ray Bundle (CASS/GRAB) model. To simulate hydrographic data uncertainty, Gausiantype errors (produced using the random number generator in MATLAB) with zero mean and three standard deviations (1 m/s, 5 m/s, and 10 m/s) are added to the sound profile. It is found that the acoustic uncertainty depends on the location of the error and sound sources. It is more sensitive to errors in the isothermal structure in the winter than in the layered structure in the summer.
In “Impact of Littoral Environment Variability on Acoustic Prediction and Sonar Performance, edited by N.G. Pace and F. B. Jensen. Kluwar Academic Publisher (ISBN-10-1402008163), Boston, 563-570
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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