Abstract

The performance of all acoustic navy systems is criticallly dependent upon the environmental conditions for propagation, primarily the ocean sound speed structure, the seafloor topography, the sediment type and the sea surface characteristics. Advances in computational power and improvements in hydrodynamic modeling have led to the opportunity of including ocean varaibiltiy and uncertainty into the acoustic propagation portion of system performance and, therefore, through the application of straight forward statistics into the performance prediction product. The first application of stochastic processing is in the computation of ambient noise (the shipping and noise sounsdcape) for comparison between modeled noise and measurements from long-term buoy deployments. Uncertainty in ship source level, position, wind speed, and environmental variabiility is key drivers in the model-data comparison. A second example of inclusion of environmental stochasticity in the passive anti-submarine warfare scenario of a passive surveillance barrier. A primary challenge here is in the communication of the uncertainty to a community that is used to thinking in simple performance metrics, such as range of the day. The last example is the use of an ensemble ocean forecast in the computation of the spread in eigenray arrivals for a real-time tomography system utilizing an active ASW sonobuoy field.

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