Numerical simulation of remote acoustic sensing of ocean temperature in the Fram Strait environment

Naugolnykh, Konstantin A.; Johannessen, Ola M.; Esipov, I. B.; Ovchinnikov, Oleg B.; Tuzhilkin, Yury I.; Zosimov, V. V.

doi:10.1121/1.423349

Cited by 11 publications

(6 citation statements)

References 21 publications

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“…Again, the conclusion was that the arrivals in Fram Strait were expected to be sufficiently stable to use acoustic remote sensing for monitoring mean ocean temperature (Naugolnykh et al, 1998). These results were sufficiently encouraging that the 2008-2009 pilot study in Fram Strait was conducted as part of the DAMOCLES project.…”

Section: Introductionmentioning

confidence: 61%

Resolution, identification, and stability of broadband acoustic arrivals in Fram Strait

Sagen¹,

Worcester

Dzieciuch

et al. 2017

The Journal of the Acoustical Society of America

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An ocean acoustic tomography system consisting of three moorings with low frequency, broadband transceivers and a moored receiver located approximately in the center of the triangle formed by the transceivers was installed in the central, deep-water part of Fram Strait during 2010–2012. Comparisons of the acoustic receptions with predictions based on hydrographic sections show that the oceanographic conditions in Fram Strait result in complex arrival patterns in which it is difficult to resolve and identify individual arrivals. In addition, the early arrivals are unstable, with the arrival structures changing significantly over time. The stability parameter α suggests that the instability is likely not due to small-scale variability, but rather points toward strong mesoscale variability in the presence of a relatively weak sound channel as being largely responsible. The estimator-correlator [Dzieciuch, J. Acoust. Soc. Am. 136, 2512–2522 (2014)] is shown to provide an objective formalism for generating travel-time series given the complex propagation conditions. Because travel times obtained from the estimator-correlator are not associated with resolved, identified ray arrivals, inverse methods are needed that do not use sampling kernels constructed from geometric ray paths. One possible approach would be to use travel-time sensitivity kernels constructed for the estimator-correlator outputs.

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Section: Introductionmentioning

confidence: 61%

Resolution, identification, and stability of broadband acoustic arrivals in Fram Strait

Sagen¹,

Worcester

Dzieciuch

et al. 2017

The Journal of the Acoustical Society of America

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“…Johannessen in the mid 90s. A detailed numerical study was carried out within the EU project Acoustic Monitoring of the Ocean Climate in the Arctic -AMOC [12], [13], [14]. Based on numerical results from this project the Fram Strait tomography system was designed and implemented as part of the DAMOCLES project (Fig.…”

Section: Damocles: Fram Strait Tomography Experimentsmentioning

confidence: 99%

The Fram Strait acoustic tomography system

Sagen¹,

Sandven²,

Worcester

et al. 2008

The Journal of the Acoustical Society of America

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The Fram Strait between Greenland and Spitzbergen is the main exchange gate for water masses, sea ice and heat flux between the Arctic Basin and the sub-Arctic seas. Although major resources are invested in measurements of current and temperature in the strait, the flux estimates still have significant deficiencies and errors. New observing technologies are now under testing and preparation for use in the Fram Strait. As part of the DAMOCLES Integrated Project (Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies), a first step acoustic tomography system is to be installed in the Fram Strait in August 2008. An extended acoustic system serving both tomography and glider navigation is planned to be implemented in 2009 under the ACOBAR project (Acoustic technology for observing the interior of the Arctic Ocean). We will present the specification of the tomography systems; the experimental plan, and plans for data analysis, including data assimilation.

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“…However, a certain type of averaged arrival time reflects the trend in the signal arrival spectrum caused by the temperature change. Two such average parameters are considered: the 'collective arrival time' (CAT) [18] and the 'cumulative sum' (CUMSUM) [19]. CAT is defined by…”

Section: Mode Couplingmentioning

confidence: 99%

Acoustic sensing of temperature changes in a strongly range-dependent ocean

2000

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The inverse problem of inferring information about the intervening ocean can be solved by a comparison of the computed arrival times and measured patterns of arrivals. This approach is very effective if in the process of sound signal propagation the modal energy exchange is negligible, the mode propagation can be considered as adiabatic and each mode has a clear amplitude and phase. In the range-dependent ocean, drastic 'repopulation' of the modes takes place due to intense energy exchange. The energy distribution between modes changes, and the order of modal arrivals varies. For the strong-mode-coupling case a fixed mode travel time does not have a monotonic relationship with the temperature variation. To obtain monotonic dependence of the sound signal parameters upon the environmental characteristics, specific approaches to the forward problem solution have to be used; two of them-the collective arrival time and the cumulative sum-are considered in this paper. They consists of defining trends in the signal arrival pattern caused by the temperature changes, and computing average parameters of the arriving signal ensemble.

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Numerical simulation of remote acoustic sensing of ocean temperature in the Fram Strait environment

Cited by 11 publications

References 21 publications

Resolution, identification, and stability of broadband acoustic arrivals in Fram Strait

Resolution, identification, and stability of broadband acoustic arrivals in Fram Strait

The Fram Strait acoustic tomography system

Acoustic sensing of temperature changes in a strongly range-dependent ocean

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