Evaluation of met-ocean forecast data effectiveness for tracking drifters deployed during operational oil spill response in Australian waters

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Title Evaluation of met-ocean forecast data effectiveness for tracking drifters deployed during operational oil spill response in Australian waters
Author Brushett, Ben Amon; King, B.A.; Lemckert, Charles James
Journal Name Journal of Coastal Research
Year Published 2011
Place of publication United States
Publisher Coastal Education & Research Foundation
Abstract Pollution of the marine environment from hydrocarbon spills is a potential environmental issue with many incidents being reported in recent times. The need for a better understanding of the ocean circulation for spill predictions is essential so that correct response actions can be implemented to minimise environmental damage. There are currently several ocean current models available in the Australian region. This study was aimed at investigating which forecast currents work best when tracking surface drifters deployed during operational oil spill response. The track of a drifter deployed during the Montara well release in the Timor Sea (October 2009) was modelled using six different current models including BLUElink, FOAM, GSLA, HYCOM, NCOM and NLOM. Wind forcing was also required to simulate the track of the drifter and was provided by two wind forecast models, GFS and NOGAPS. Therefore, an ensemble of 12 different model forcing combinations were possible. The NCOM current model with NOGAPS winds produced the best result with an absolute error of 7.19 km after 120 hours (5 days); however NCOM currents with GFS winds tended to more closely predict the track throughout the entire simulation, although the error at the end of the simulation was slightly higher at 11.51 km.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.ics2011.pl/index.php?option=com_content&view=article&id=75&Itemid=80
Alternative URI http://www.ics2011.pl/artic/SP64_991-994_B.A.Brushett.pdf
Copyright Statement Copyright 2011 CERF. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
Volume SI 64
Page from 991
Page to 994
ISSN 0749-0208
Date Accessioned 2011-12-20; 2012-02-15T04:52:54Z
Date Available 2012-02-15T04:52:54Z
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Physical Oceanography
URI http://hdl.handle.net/10072/42720
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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