Measurement of Oceanic Wind Speed Using Acoustic Ambient Sea Noise

التفاصيل البيبلوغرافية
العنوان: Measurement of Oceanic Wind Speed Using Acoustic Ambient Sea Noise
المؤلفون: Susan L. Bourassa
بيانات النشر: University of Rhode Island, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Wind gradient, Meteorology, Coincident, Wind shear, Physics::Space Physics, Ambient noise level, Calibration, Astrophysics::Solar and Stellar Astrophysics, Environmental science, Physics::Atmospheric and Oceanic Physics, Wind speed, Seabed, Noise (radio)
الوصف: Knowledge of oceanic winds is vital to the understanding of air/sea interactions, but is difficult to obtain. This thesis investigates a technique for determining wind speeds from acoustic ambient noise data. The results show acoustic ambient noise in the ocean at 4.3, 8.0, and 14.5 kHz to be highly correlated with surface wind speed. Measurement of noise at the sea floor yields estimates of wind speed within ± 1 m/sec when compared with coincident surface observations. Comparisons of ambient noise with coincident surface measured winds has confirmed the frequency dependence of the wind speed noise relation reported by others ( -20 dB/decade). For deployment with a low mean wind speed (4-6 m/sec), separate calibrations are required at 14.5 kHz for wind speeds above and below the speed characterizing white cap formation. The wind noise calibration equations for the Atlantic and the equatorial Pacific agree with each other and with published results within the limits of experimental uncertainty. The effect of the different hydrographies of the two deployment sites seems to be negligible for deployments at similar depths. There is some evidence that a layer of bubbles at the surface will scatter and absorb high frequency noise sig
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::26e081f24cd4db3852988cc46fb1d3f4Test
https://doi.org/10.23860/thesis-bourassa-susan-1984Test
حقوق: OPEN
رقم الانضمام: edsair.doi...........26e081f24cd4db3852988cc46fb1d3f4
قاعدة البيانات: OpenAIRE