Automating the Detection of Precipitation and Wind Characteristics in Navy Ocean Acoustic Data
| Autor: | Joseph T. Kuhner |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010504 meteorology & atmospheric sciences
Meteorology 010505 oceanography Event (computing) Ambient noise level 01 natural sciences Wind speed Navy Environment and intelligence Environmental science Precipitation Transient (oscillation) Underwater acoustics 0105 earth and related environmental sciences |
| Zdroj: | OCEANS 2018 MTS/IEEE Charleston. |
| DOI: | 10.1109/oceans.2018.8604693 |
| Popis: | A challenge in Underwater Acoustics is identifying the independent variables associated with an environment's ambient noise. A strict definition of ambient noise would focus on non-transient signatures and exclude transient impacts from marine mammals, pelagic fish species, man-made sources, or weather events such as precipitation or winds speeds. Recognizing transient signatures in acoustic spectra is an essential element for providing environmental intelligence to the U.S. Navy, specifically the acoustic signatures from meteorological events. While weather event detection in acoustic spectra has been shown in previous studies, leveraging these concepts via U.S. Navy assets is largely an unknown. Environmental intelligence collection can be improved by detecting precipitation events and establishing wind velocities with acoustic signatures. This will further improve meteorological models by enabling validation from both manned and unmanned sub-surface assets. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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