The Wave Glider: A Wave-Powered autonomous marine vehicle

Hine, Roger; Willcox, Scott; Hine, Graham; Richardson, Tim

doi:10.23919/oceans.2009.5422129

Cited by 107 publications

(56 citation statements)

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“…The AUV algorithms can be extended to other mobile platforms under suitable conditions. For example, although a Wave Glider (Hine et al, 2009) can only make near-surface measurement, it can autonomously detect and track an upwelling front by taking advantage of the strong horizontal gradient of near-surface temperature, using an algorithm modified from the AUV algorithm (Zhang et al, 2019b).…”

Section: Discussionmentioning

confidence: 99%

Targeted Sampling by Autonomous Underwater Vehicles

et al. 2019

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In the vast ocean, many ecologically important phenomena are temporally episodic, localized in space, and move according to local currents. To effectively study these complex and evolving phenomena, methods that enable autonomous platforms to detect and respond to targeted phenomena are required. Such capabilities allow for directed sensing and water sample acquisition in the most relevant and informative locations, as compared against static grid surveys. To meet this need, we have designed algorithms for autonomous underwater vehicles that detect oceanic features in real time and direct vehicle and sampling behaviors as dictated by research objectives. These methods have successfully been applied in a series of field programs to study a range of phenomena such as harmful algal blooms, coastal upwelling fronts, and microbial processes in open-ocean eddies. In this review we highlight these applications and discuss future directions.

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Section: Discussionmentioning

confidence: 99%

Targeted Sampling by Autonomous Underwater Vehicles

et al. 2019

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“…In addition to Saildrone USVs, currently available wind-propelled USVs include the C-Enduro, Sailbuoy (Ghani et al, 2014), Ocean Aero, and Harborwing. Wave-propelled USVs include the Wave Glider (Hine et al, 2009) and the Autonaut (Johnston and Poole, 2017).…”

Section: Vision Structure and Frameworkmentioning

confidence: 99%

Public–Private Partnerships to Advance Regional Ocean-Observing Capabilities: A Saildrone and NOAA-PMEL Case Study and Future Considerations to Expand to Global Scale Observing

Meinig

Burger

Cohen³

et al. 2019

Front. Mar. Sci.

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PPP: A USV Case Study and provide guidance for unmanned vehicle providers. Last, we also recommend building bridges between the private sector, the ocean-observing community, and the operational forecast community to consider the future of this new private sector, with goals to determine targeted ocean-observing needs; assess the appropriateness of USVs as science platforms, sensors, and data format standards; and establish usage and data quality control and distribution protocols for ocean observing and operational forecasting.

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“…Rapid advances in the miniaturization of acoustic sensors (transducers) and the improvement of batteries and computers allow them to be mounted on various mobile platforms, such as gliders and AUVs (Hine et al, 2009;Moline et al, 2015) and buoys (Godo and Totland, 1999;Brehmer et al, 2018), thus rendering this sensing technology cost-effective both in hardware and in deployment compared to traditional shipboard transducers. In the last decade, a new cost-effective multipurpose scientific echosounder, the Simrad EK15, was designed and validated (Betanzos et al, 2016;Linløkken et al, 2019).…”

Section: Underwater Bio-acousticsmentioning

confidence: 99%