@article {douglass_distributed_2023,
	title = {Distributed acoustic sensing for detecting near surface hydroacoustic signals},
	journal = {JASA Express Letters},
	volume = {3},
	number = {6},
	year = {2023},
	month = {jun},
	pages = {066005},
	abstract = {Distributed acoustic sensing (DAS) is a technology that turns a fiber-optic cable into an acoustic sensor by measuring the phase change of backscattered light caused by changes in strain from an acoustic field. In October 2022, 9 days of DAS and co-located hydrophone data were collected in the Puget Sound near Seattle, WA. Passive data were continuously recorded for the duration and a broadband source was fired from several locations and depths on the first and last days. This dataset provides comparisons between DAS and hydrophone measurements and demonstrates the ability of DAS to measure acoustics signals up to \~{}700 Hz.},
	issn = {2691-1191},
	doi = {10.1121/10.0019703},
	url = {https://doi.org/10.1121/10.0019703},
	author = {Douglass, Alexander S. and Abadi, Shima and Lipovsky, Bradley P.}
}
@article {wilcock_distributed_2023,
	title = {Distributed acoustic sensing recordings of low-frequency whale calls and ship noise offshore Central Oregon},
	journal = {JASA Express Letters},
	volume = {3},
	number = {2},
	year = {2023},
	note = {Publisher: Acoustical Society of America},
	month = {feb},
	pages = {026002},
	abstract = {Distributed acoustic sensing (DAS) is a technique that measures strain changes along an optical fiber to distances of \~{}100 km with a spatial sensitivity of tens of meters. In November 2021, 4 days of DAS data were collected on two cables of the Ocean Observatories Initiative Regional Cabled Array extending offshore central Oregon. Numerous 20 Hz fin whale calls, northeast Pacific blue whale A and B calls, and ship noises were recorded, highlighting the potential of DAS for monitoring the ocean. The data are publicly available to support studies to understand the sensitivity of submarine DAS for low-frequency acoustic monitoring.},
	doi = {10.1121/10.0017104},
	url = {https://asa.scitation.org/doi/full/10.1121/10.0017104},
	author = {Wilcock, William S. D. and Abadi, Shima and Lipovsky, Bradley P.}
}
@article {ragland_using_2023,
	title = {Using ocean ambient sound to sense arrival time fluctuations due to temperature},
	journal = {The Journal of the Acoustical Society of America},
	volume = {154},
	number = {4_supplement},
	year = {2023},
	month = {oct},
	pages = {A218},
	abstract = {Ambient noise interferometry is a technique that uses coherent ambient sound measured at two separate locations to estimate the Green{\textquoteright}s function between the sensors. Specifically, if the ambient sound is diffuse, the cross-correlation between sensors converges to the Green{\textquoteright}s function between the sensors. In this talk, we apply the technique of ambient noise interferometry to two Ocean Observatories Initiative hydrophones that are separated by 3.2km and bottom mounted at a depth of 1500 m. It has previously been shown that these hydrophones can passively estimate several multi-path propagation peaks reliably throughout the 8 years that they have been recording ambient sound. We present an algorithm that estimates the arrival time of these peaks using the empirical Green{\textquoteright}s function and compare these estimated arrivals to simulated acoustic arrivals. We demonstrate that the arrival times estimated with ambient sound show good agreement with the simulated results and have clear annual fluctuations due to seasonal temperature changes in the water column. We will discuss the future possibilities of extending this work for inversion based oceanographic measurements. [work supported by ONR.]},
	issn = {0001-4966},
	doi = {10.1121/10.0023334},
	url = {https://doi.org/10.1121/10.0023334},
	author = {Ragland, John and Abadi, Shima}
}
@article {ragland_exploring_2022,
	title = {Exploring surface source contributions to ocean ambient noise interferometry with airgun shots},
	journal = {The Journal of the Acoustical Society of America},
	volume = {152},
	number = {5},
	year = {2022},
	note = {Publisher: Acoustical Society of America},
	month = {nov},
	pages = {3069{\textendash}3077},
	abstract = {A seismic reflection survey conducted directly over two bottom-mounted hydrophones in the north-east Pacific Ocean is used to explore how surface source locations affect ambient noise interferometry for the two hydrophones. The airgun shots are used as an approximation of an impulsive sound source at a discrete location, which allows us to investigate spatial contributions to the cross correlation between the two hydrophones. Simulated and experimental results are presented. The contributions to the cross correlations are explained by different reflections off the surface or bottom of the ocean, and a discussion about what can and cannot be inferred about the emergence to the Green{\textquoteright}s function is presented.},
	issn = {0001-4966},
	doi = {10.1121/10.0015231},
	url = {https://asa.scitation.org/doi/10.1121/10.0015231},
	author = {Ragland, John and Abadi, Shima}
}
@article {275,
	title = {Long-term noise interferometry analysis in the northeast Pacific Ocean},
	journal = {The Journal of the Acoustical Society of America},
	volume = {151},
	year = {2022},
	month = {2022/01//},
	pages = {194 - 204},
	abstract = {Long-term noise interferometry analysis is conducted over six years of data using two hydrophones on the Ocean Observatories Initiative Cabled Array. The two hydrophones are separated by 3.2 km and are bottom-mounted at 1500 m. We demonstrate the ability of ambient noise interferometry to reliably detect multi-path arrivals in the deep ocean from bottom-mounted hydrophones. An analysis of the multi-path arrival peak emergence is presented, as well as long-term trends of the signal-to-noise ratio of the arrival peaks. Last, we show that long-term ambient noise interferometry provides the opportunity for monitoring directional, coherent ambient sound such as the fin whale chorus.},
	isbn = {0001-4966},
	doi = {10.1121/10.0009232},
	url = {https://asa.scitation.org/doi/full/10.1121/10.0009232},
	author = {Ragland, John and Abadi, Shima and Sabra, Karim}
}
@article {278,
	title = {An overview of ambient sound using Ocean Observatories Initiative hydrophones},
	journal = {The Journal of the Acoustical Society of America},
	volume = {151},
	year = {2022},
	month = {2022/03//},
	pages = {2085 - 2100},
	abstract = {The Ocean Observatories Initiative (OOI) sensor network provides a unique opportunity to study ambient sound in the north-east Pacific Ocean. The OOI sensor network has five low frequency (Fs = 200 Hz) and six broadband (Fs = 64 kHz) hydrophones that have been recording ambient sound since 2015. In this paper, we analyze acoustic data from 2015 to 2020 to identify prominent features that are present in the OOI acoustic dataset. Notable features in the acoustic dataset that are highlighted in this paper include volcanic and seismic activity, rain and wind noise, marine mammal vocalizations, and anthropogenic sound, such as shipping noise. For all low frequency hydrophones and four of the six broadband hydrophones, we will present long-term spectrograms, median time-series trends for different spectral bands, and different statistical metrics about the acoustic environment. We find that 6-yr acoustic trends vary, depending on the location of the hydrophone and the spectral band that is observed. Over the course of six years, increases in spectral levels are seen in some locations and spectral bands, while decreases are seen in other locations and spectral bands. Last, we discuss future areas of research to which the OOI dataset lends itself.},
	isbn = {0001-4966},
	doi = {10.1121/10.0009836},
	url = {https://asa.scitation.org/doi/full/10.1121/10.0009836},
	author = {Ragland, John and Schwock, Felix and Munson, Matthew and Abadi, Shima}
}
@article {RN249,
	title = {Characterizing underwater noise during rain at the northeast Pacific continental margin},
	journal = {The Journal of the Acoustical Society of America},
	volume = {149},
	number = {6},
	year = {2021},
	pages = {4579-4595},
	type = {Journal Article},
	doi = {10.1121/10.0005440},
	url = {https://app.dimensions.ai/details/publication/pub.1139189404 https://asa.scitation.org/doi/pdf/10.1121/10.0005440},
	author = {Schwock, Felix and Abadi, Shima}
}
@article {RN250,
	title = {Long-term noise interferometry analysis in the northeast Pacific Ocean},
	journal = {The Journal of the Acoustical Society of America},
	volume = {149},
	number = {4},
	year = {2021},
	pages = {a90-a90},
	type = {Journal Article},
	doi = {10.1121/10.0004609},
	url = {https://app.dimensions.ai/details/publication/pub.1138547479},
	author = {Ragland, John and Abadi, Shima}
}
@article {RN266,
	title = {OOIPy: A Python toolbox for accessing and analyzing sata from the Ocean Observatories Initiative},
	journal = {The Journal of the Acoustical Society of America},
	volume = {150},
	number = {4},
	year = {2021},
	pages = {a123-a123},
	type = {Journal Article},
	doi = {10.1121/10.0007845},
	url = {https://app.dimensions.ai/details/publication/pub.1142685236},
	author = {Schwock, Felix and Ragland, John and Abadi, Shima}
}
@article {RN270,
	title = {Statistical analysis and modeling of underwater wind noise at the northeast pacific continental margin},
	journal = {The Journal of the Acoustical Society of America},
	volume = {150},
	number = {6},
	year = {2021},
	pages = {4166-4177},
	type = {Journal Article},
	doi = {10.1121/10.0007463},
	url = {https://app.dimensions.ai/details/publication/pub.1143712938 https://asa.scitation.org/doi/pdf/10.1121/10.0007463},
	author = {Schwock, Felix and Abadi, Shima}
}
