@article {sato_diel_2024,
	title = {Diel Vertical Migrators Respond to Short-Term Upwelling Events},
	journal = {Geophysical Research Letters},
	volume = {51},
	number = {2},
	year = {2024},
	note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1029/2023GL105387},
	pages = {e2023GL105387},
	abstract = {Pelagic organisms inhabiting coastal upwelling regions face a high risk of advection away from the nearshore productive habitat, potentially leading to mortality. We explored how animals remain in a productive yet highly advective environment in the Northern California Current System using the cabled observatory system located off the Oregon coast. Acoustic scatterers consistent with swimbladder-bearing fish were only present during the downwelling season as these animals avoided the cold waters associated with strong upwelling conditions in summer and fall. Fish responded to short-term upwelling events by increasing the frequency of diel vertical migration. Throughout the study, their vertical positions corresponded to the depth of minimum cross-shelf transport, providing a mechanism for retention. The observed behavioral response highlights the importance of studying ecological processes at short timescales and the abilities of pelagic organisms to control their horizontal distributions through fine-tuned diel vertical migration in response to upwelling.},
	keywords = {acoustics, biological-physical interactions, diel vertical migration, Upwelling},
	issn = {1944-8007},
	doi = {10.1029/2023GL105387},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2023GL105387},
	author = {Sato, Mei and Benoit-Bird, Kelly J.}
}
@article {schwing_modern_2023,
	title = {Modern technologies and integrated observing systems are {\textquotedblleft}instrumental{\textquotedblright} to fisheries oceanography: A brief history of ocean data collection},
	journal = {Fisheries Oceanography},
	volume = {32},
	number = {1},
	year = {2023},
	note = {_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1111/fog.12619},
	pages = {28{\textendash}69},
	abstract = {Interdisciplinary data fuel fisheries oceanography research and the ecosystem-based approaches to management and sustainable development it informs. Underlying this is a distributed ocean observing framework that is integrated, interoperable, interactive, and accessible. In recognition of the 30th anniversary of Fisheries Oceanography the journal, this paper reviews the evolution of observing instruments and platforms used in contemporary fisheries oceanography the science. Illustrated with personal anecdotes, past efforts to create or adopt observing technologies, and examples of their use in research, this highlights the spectrum of instruments, systems, and programs used to survey and monitor ocean ecosystems. Modern ocean observing systems are complex and varied, reflecting the range and diversity of data required by fisheries oceanographers. These systems require a large and ongoing investment and an interdisciplinary community of scientists, engineers, and technicians to design, build, install, operate, and maintain them. Common themes emerge from a review of past successful instrument R\&D and deployments. It is a highly collaborative, integrative, and iterative process. Most systems are the result of vision, planning, and perseverance, backed by careful calibration and intercomparison. Long-term support is essential; public{\textendash}private partnerships that leverage funding, technology, and infrastructure are critical. Sustaining long time series for monitoring population and ecosystem change and to support fisheries oceanography research is a priority. Future areas of focus include continuously innovating and updating technologies, implementing a backbone of core observations, and maintaining a nimble infrastructure and R\&D capacity to seize new opportunities and address emerging challenges.},
	keywords = {acoustics, currents, data, fisheries oceanography, observing systems, Satellites, uncrewed systems},
	issn = {1365-2419},
	doi = {10.1111/fog.12619},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/fog.12619},
	author = {Schwing, Franklin B.}
}
@article {stevens_ocean_2023,
	title = {Ocean Ensemble-Enabled Stochastic Acoustic Prediction With Operational Metrics: New England Shelf Break Acoustics Signals and Noise Experiment},
	journal = {IEEE Journal of Oceanic Engineering},
	year = {2023},
	note = {Conference Name: IEEE Journal of Oceanic Engineering},
	pages = {1{\textendash}28},
	abstract = {This article describes the results of the New England shelf break acoustics (NESBA) experiment as they pertain to acoustic prediction and the quantification of associated uncertainties in relevant operational metrics. The uncertainties considered here are those due to the imperfect sensing of the water column, ambient noise (AN), and the seabed, and the impact this has on ocean forecasting and acoustic performance prediction accuracy. Operational metrics are designed to provide an acoustic system operator with actionable guidance relating to likely mean source detection ranges and associated uncertainties with specific guidance on the degree to which specific environmental factors (e.g., oceanography, seabed, and ambient noise) contribute to the predicted uncertainty levels. High-resolution regional Navy Coastal Ocean Model (NCOM) ensemble forecasts were generated to capture oceanographic variability and uncertainty. Passive ambient noise-based seabed measurements were conducted to estimate seabed properties. Extensive AN and conductivity, temperature, and depth (CTD) measurements were also conducted. Measurement-based versus model-based acoustic prediction metrics are compared as an initial validation of the underlying methodology. It is shown that Global Hybrid Coordinate Ocean Model (HYCOM) ocean forecasts with databased AN and seabed parameters result in very large metric uncertainties, while leveraging high-resolution NCOM with ensembles and in situ AN and seabed measurements can result in substantially reduced uncertainties. It is also demonstrated that improved ocean modeling and sensing can be leveraged to determine the best receiver depth, associated uncertainty levels, and uncertainty drivers. An operational concept for generating acoustic prediction metrics and associated operator environmental sensing guidance is proposed.},
	keywords = {acoustics, Cumulative probability of detection, Measurement, passive sonar, Predictive models, Sea measurements, Sea surface, stochastic acoustic prediction, Temperature measurement, uncertainty},
	issn = {1558-1691},
	doi = {10.1109/JOE.2023.3267788},
	author = {Stevens, William K. and Siderius, Martin and Carrier, Matthew J. and Lin, Ying-Tsong and Wendeborn, Drew}
}
