Autonomous tracking of salinity-intrusion fronts by a long-range autonomous underwater vehicle

dc.contributor.author Zhang, Yanwu
dc.contributor.author Yoder, Noa
dc.contributor.author Kieft, Brian
dc.contributor.author Kukulya, Amy L.
dc.contributor.author Hobson, Brett W.
dc.contributor.author Ryan, Svenja
dc.contributor.author Gawarkiewicz, Glen G.
dc.date.accessioned 2022-08-04T18:11:05Z
dc.date.available 2022-08-04T18:11:05Z
dc.date.issued 2022-04-18
dc.description © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Zhang, Y., Yoder, N., Kieft, B., Kukulya, A., Hobson, B. W., Ryan, S., & Gawarkiewicz, G. G. Autonomous tracking of salinity-intrusion fronts by a long-range autonomous underwater vehicle. Ieee Journal of Oceanic Engineering, (2022): 1-9, https://doi.org/10.1109/JOE.2022.3146584. en_US
dc.description.abstract Shoreward intrusions of anomalously salty water along the continental shelf of the Middle Atlantic Bight are often observed in spring and summer. Exchange of heat, nutrients, and carbon across the salinity-intrusion front has a significant impact on the marine ecosystem and fisheries. In this article, we developed a method of using an autonomous underwater vehicle (AUV) to detect a salinity-intrusion front and track the front's movement. Autonomous front detection is based on the different vertical structures of salinity in the two distinct water types: the vertical difference of salinity is large in the intruding saltier water because of the salinity “tongue” at mid-depth, but is small in the nearshore fresher water due to absence of the salinity anomaly. Every time the AUV crosses and detects the front, the vehicle makes a turn at an oblique angle to cross the front, thus zigzagging through the front to map the frontal zone. The AUV's zigzags sweep back and forth to track the front as it moves over time. From June 25 to 30, 2021, a Tethys-class long-range AUV mapped and tracked a salinity-intrusion front on the southern New England shelf. The frontal tracking revealed the salinity intrusion's 3-D structure and temporal evolution with unprecedented detail. en_US
dc.description.sponsorship This work was supported in part by the National Science Foundation under Grant OCE-1851261 and in part by the David and Lucile Packard Foundation. en_US
dc.identifier.citation Zhang, Y., Yoder, N., Kieft, B., Kukulya, A., Hobson, B. W., Ryan, S., & Gawarkiewicz, G. G. (2022). Autonomous tracking of salinity-intrusion fronts by a long-range autonomous underwater vehicle. Ieee Journal of Oceanic Engineering, 1-9. en_US
dc.identifier.doi 10.1109/JOE.2022.3146584
dc.identifier.uri https://hdl.handle.net/1912/29188
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.relation.uri https://doi.org/10.1109/JOE.2022.3146584
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Salinity (geophysical) en_US
dc.subject Ocean temperature en_US
dc.subject Sea measurements en_US
dc.subject Trajectory en_US
dc.subject Tracking en_US
dc.subject Temperature measurement en_US
dc.subject Indexes en_US
dc.subject Autonomous underwater vehicle (AUV) en_US
dc.subject front en_US
dc.subject Middle Atlantic Bight en_US
dc.subject salinity intrusion en_US
dc.subject southern New England shelf en_US
dc.subject track en_US
dc.title Autonomous tracking of salinity-intrusion fronts by a long-range autonomous underwater vehicle en_US
dc.type Article en_US
dspace.entity.type Publication
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