Computational studies of time-varying three-dimensional acoustic propagation in canyon and slope regions

Duda, Timothy F.; Lin, Ying‐Tsong; Newhall, Arthur E.; Zhang, Weifeng G.; Lynch, James F.

doi:10.1109/oceans.2010.5664419

Cited by 4 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the subsequent decades the complexity of ocean environmental models used in sound propagation predictions has grown in complexity, allowing greater insight into the dominant drivers of the patterns encountered in nature. Recently created levels of complexity include so-called N×2D independent radial simulations of sound through environmental conditions drawn from data-driven regional ocean flow models (Lermusiaux et al, 2010), and time-stepped fully 3D simulations involving representative environments (Oba and Finette, 2002;Finette and Oba, 2003;Finette et al, 2007) or realistically modeled ocean environments (Duda et al, 2010;Duda et al, 2011). This study uses the latter methodology.…”

Section: Evolution Of Model Complexitymentioning

confidence: 99%

Scales of time and space variability of sound fields reflecting obliquely from underwater slopes

Duda

Lin

Cornuelle

2013

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

Ocean flows impart a time dependence to interference patterns of sound reflecting at low horizontal angle from sloping bathymetry. This is a higher level of complexity than interference patterns within vertical slices in spherically symmetric environments. The time-space statistics may be co-dependent and non-normal, making conventional methods inapplicable. Here, patterns that occur when 100-1000 Hz sound reflects at slopes are simulated with three-dimensional methods. Multiple statistics of sound at virtual arrays are computed over the domain, including incoherent power, beam power, spatial correlation length, and array gain assuming idealized noise conditions. These depend on source and receiver locations with respect to bathymetric features, and can be computed for instantaneously sampled ocean conditions to study their evolution within the time frame of the dominant flow, or computed via averaging over a few periods of the dominant flow features (tides, for example). Here, the spatial complexity of patterns found in 100-Hz (and upward) simulations at a slope area off San Diego, CA in a time varying flow are linked to the imposed seafloor roughness as well as geometry, with mean intensity, scintillation index, and correlation scale used to quantify the effect. Implications for statistics employed in detection and tracking algorithms are discussed.

show abstract

Section: Evolution Of Model Complexitymentioning

confidence: 99%

Scales of time and space variability of sound fields reflecting obliquely from underwater slopes

Duda

Lin

Cornuelle

2013

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

show abstract

Optimizing passive acoustic systems for marine mammal detection and localization: Application to real-time monitoring north Atlantic right whales in Gulf of St. Lawrence

et al. 2021

View full text Add to dashboard Cite

The effects of environmental variability and spatial sampling on the three-dimensional inversion problem

Bender

Ballard

Wilson

2014

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

The overall goal of this work is to quantify the effects of environmental variability and spatial sampling on the accuracy and uncertainty of estimates of the three-dimensional ocean sound-speed field. In this work, ocean sound speed estimates are obtained with acoustic data measured by a sparse autonomous observing system using a perturbative inversion scheme [Rajan, Lynch, and Frisk, J. Acoust. Soc. Am. 82, 998-1017 (1987)]. The vertical and horizontal resolution of the solution depends on the bandwidth of acoustic data and on the quantity of sources and receivers, respectively. Thus, for a simple, range-independent ocean sound speed profile, a single source-receiver pair is sufficient to estimate the water-column sound-speed field. On the other hand, an environment with significant variability may not be fully characterized by a large number of sources and receivers, resulting in uncertainty in the solution. This work explores the interrelated effects of environmental variability and spatial sampling on the accuracy and uncertainty of the inversion solution though a set of case studies. Synthetic data representative of the ocean variability on the New Jersey shelf are used.

show abstract

Computational studies of time-varying three-dimensional acoustic propagation in canyon and slope regions

Cited by 4 publications

References 9 publications

Scales of time and space variability of sound fields reflecting obliquely from underwater slopes

Scales of time and space variability of sound fields reflecting obliquely from underwater slopes

Optimizing passive acoustic systems for marine mammal detection and localization: Application to real-time monitoring north Atlantic right whales in Gulf of St. Lawrence

The effects of environmental variability and spatial sampling on the three-dimensional inversion problem

Contact Info

Product

Resources

About