Multi-vehicle oceanographic feature exploration

Ooi, B.H., Zheng, H., Kurniawati, H., Cho, W., Dao, M.H., Wei, J., Zemskyy, P., Tkalich, P., Malanotte-Rizzoli, P. and Patrikalakis, N.M. (2009). Multi-vehicle oceanographic feature exploration. In: The proceedings of the Nineteenth (2009) International Offshore and Polar Engineering Conference: ISOPE-2009 Osaka. 19th (2009) International Offshore and Polar Engineering Conference, Osaka, Japab, (669-676). 21 - 26 June 2009.

Author Ooi, B.H.
Zheng, H.
Kurniawati, H.
Cho, W.
Dao, M.H.
Wei, J.
Zemskyy, P.
Tkalich, P.
Malanotte-Rizzoli, P.
Patrikalakis, N.M.
Title of paper Multi-vehicle oceanographic feature exploration
Conference name 19th (2009) International Offshore and Polar Engineering Conference
Conference location Osaka, Japab
Conference dates 21 - 26 June 2009
Proceedings title The proceedings of the Nineteenth (2009) International Offshore and Polar Engineering Conference: ISOPE-2009 Osaka
Journal name International Offshore and Polar Engineering Conference. Proceedings
Place of Publication Cupertino, CA United States
Publisher International Society of Offshore and Polar Engineers
Publication Year 2009
Year available 2009
Sub-type Fully published paper
Open Access Status
ISBN 9781880653531
ISSN 1098-6189
Volume 2
Start page 669
End page 676
Total pages 8
Collection year 2010
Language eng
Abstract/Summary Oceanographic features such as jets and vortices are often found downstream of obstacles and landforms such as islands or peninsulas. Such features have high spatial and temporal variability and are, hence, interesting but difficult to measure and quantify. This paper discusses an experiment to identify and resolve such oceanographic features in Selat Pauh, in the Straits of Singapore. The deployment formation for multiple robotic vehicles (Autonomous Surface Craft - ASC), the measurement instruments, and the algorithms developed in extracting oceanographic field variables are described. These were based on two ocean field predictions from well-known geophysical flow dynamic models. Field experiments were carried out and comparison of the forecasts with measurements was attempted. To investigate an unexpected behaviour of one ASC, hindcasts with wind effects and simulation with vortex feature extraction on a larger domain with more involved bathymetry were also partially carried out. Copyright
Subjects 2102 Curatorial and Related Studies
2210 Mechanical Engineering
2212 Ocean Engineering
Keyword Adaptive sampling
Marine robotics
Ocean jets and vortices
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

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Created: Wed, 16 Jul 2014, 10:09:24 EST by Emma Petherick on behalf of School of Information Technol and Elec Engineering