Bayesian hindcast of acoustic transmission loss in the western Pacific Ocean
| Autor: | Margaret L. Palmsten, J. Paquin Fabre |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
010504 meteorology & atmospheric sciences
Feature vector Acoustics Transmission loss Bayesian network Oceanography 01 natural sciences Network planning and design Geophysics Space and Planetary Science Geochemistry and Petrology 0103 physical sciences Earth and Planetary Sciences (miscellaneous) Range (statistics) Hindcast Sensitivity (control systems) Underwater 010301 acoustics Geology 0105 earth and related environmental sciences |
| Zdroj: | Journal of Geophysical Research: Oceans. 121:7010-7025 |
| ISSN: | 2169-9275 |
| DOI: | 10.1002/2016jc011982 |
| Popis: | A Bayesian network is developed to demonstrate the feasibility of using environmental acoustic feature vectors (EAFVs) to predict underwater acoustic transmission loss (TL) versus range at two locations for a single acoustic source depth and frequency. Features for the networks are chosen based on a sensitivity analysis. The final network design resulted in a well-trained network, with high skill, little gain error, and low bias. The capability presented here shows promise for expansion to a more generalized approach, which could be applied at varying locations, depths and frequencies to estimate acoustic performance over a highly variable oceanographic area in real-time or near-real-time. This article is protected by copyright. All rights reserved. |
| Databáze: | OpenAIRE |
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