Sentinel Gliders: A New Frontier of Ocean Observing.

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Title: Sentinel Gliders: A New Frontier of Ocean Observing.
Authors: Gradone, Joseph1 jgradone@marine.rutgers.edu, Jones, Clayton2, Quinn, Shea2, Goodrich, Cordielyn2, Fricano, Salvatore2, Miles, Travis1, Saba, Grace1, Kohut, Joshua1, Glenn, Scott1, Schofield, Oscar1
Source: Marine Technology Society Journal. Fall2025, Vol. 59 Issue 3, p49-56. 8p.
Subjects: Underwater gliders, Oceanographic observations, Environmental monitoring, Adaptive sampling (Statistics), Sensor networks
Abstract: Buoyancy-driven underwater gliders are essential components of the global ocean observing system. While traditional gliders have demonstrated remarkable endurance and operational reliability across a range of scientific missions, their limited energy and payload capacity constrain their use for complex, long-duration, multisensor deployments. The TeledyneWebb Research Sentinel glider represents a generational advance in this platform lineage. With significantly increased battery capacity, expanded buoyancy control, and support for high-power sensors, Sentinel enables persistent, basinscale ocean monitoring that integrates physical, chemical, and biological observations within a single platform. Here, we present an overview of the Sentinel platform and discuss a set of hypothetical, yet transformative, applications enabled by recent advances in glider technology, including multisensor ecological monitoring and edge-based adaptive sampling. Sentinel offers a critical step toward globally distributed, intelligent ocean observation. Its inaugural global circumnavigationmission will demonstrate both the technical viability and scientific potential of this next-generation glider class. [ABSTRACT FROM AUTHOR]
Copyright of Marine Technology Society Journal is the property of Marine Technology Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 191764808
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Sentinel Gliders: A New Frontier of Ocean Observing.
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  Data: <searchLink fieldCode="AR" term="%22Gradone%2C+Joseph%22">Gradone, Joseph</searchLink><relatesTo>1</relatesTo><i> jgradone@marine.rutgers.edu</i><br /><searchLink fieldCode="AR" term="%22Jones%2C+Clayton%22">Jones, Clayton</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Quinn%2C+Shea%22">Quinn, Shea</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Goodrich%2C+Cordielyn%22">Goodrich, Cordielyn</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Fricano%2C+Salvatore%22">Fricano, Salvatore</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Miles%2C+Travis%22">Miles, Travis</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Saba%2C+Grace%22">Saba, Grace</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kohut%2C+Joshua%22">Kohut, Joshua</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Glenn%2C+Scott%22">Glenn, Scott</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Schofield%2C+Oscar%22">Schofield, Oscar</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Marine+Technology+Society+Journal%22">Marine Technology Society Journal</searchLink>. Fall2025, Vol. 59 Issue 3, p49-56. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Underwater+gliders%22">Underwater gliders</searchLink><br /><searchLink fieldCode="DE" term="%22Oceanographic+observations%22">Oceanographic observations</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+sampling+%28Statistics%29%22">Adaptive sampling (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Sensor+networks%22">Sensor networks</searchLink>
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  Label: Abstract
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  Data: Buoyancy-driven underwater gliders are essential components of the global ocean observing system. While traditional gliders have demonstrated remarkable endurance and operational reliability across a range of scientific missions, their limited energy and payload capacity constrain their use for complex, long-duration, multisensor deployments. The TeledyneWebb Research Sentinel glider represents a generational advance in this platform lineage. With significantly increased battery capacity, expanded buoyancy control, and support for high-power sensors, Sentinel enables persistent, basinscale ocean monitoring that integrates physical, chemical, and biological observations within a single platform. Here, we present an overview of the Sentinel platform and discuss a set of hypothetical, yet transformative, applications enabled by recent advances in glider technology, including multisensor ecological monitoring and edge-based adaptive sampling. Sentinel offers a critical step toward globally distributed, intelligent ocean observation. Its inaugural global circumnavigationmission will demonstrate both the technical viability and scientific potential of this next-generation glider class. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Marine Technology Society Journal is the property of Marine Technology Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Adaptive sampling (Statistics)
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      – SubjectFull: Sensor networks
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              Text: Fall2025
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