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dc.contributor.authorBrushett, Ben A
dc.contributor.authorAllen, Arthur A
dc.contributor.authorKing, Brian A
dc.contributor.authorLemckert, Charles J
dc.date.accessioned2017-09-13T04:38:46Z
dc.date.available2017-09-13T04:38:46Z
dc.date.issued2017
dc.identifier.issn0141-1187
dc.identifier.doi10.1016/j.apor.2017.07.004
dc.identifier.urihttp://hdl.handle.net/10072/346297
dc.description.abstractThe use of Search and Rescue (SAR) drift forecasting in an operational capacity is demonstrated through two SAR case studies, each predicting the drift of a panga skiff for 120 h (Case 1) and 72 h (Case 2). The leeway characteristics of panga skiffs were previously unknown, until a leeway field study was undertaken in mid-2012 to empirically determine the influence of wind and waves on their drift. As part of the two case studies described herein, four ocean models were used as environmental forcing for a stochastic particle trajectory model, to forecast the drift and resulting search areas for the panga skiffs. Each of the four ocean models were tested individually, and then combined into a consensus forecast to ascertain which ocean model was the most accurate in terms of distance error of modelled positions compared to actual panga skiff locations. Additionally, a hit analysis was undertaken to determine whether the panga skiff was located within the forecast search areas for each ocean model, and for consensus search areas. Finally, an assessment of the search area sizes was carried out to assess the single ocean model forecast search area sizes, and how they compared with the consensus search area size. In both of the case studies, all four ocean model forecast search areas contained the panga skiff at the time intervals tested, indicating a 100% hit rate and general consensus between the ocean models. The consensus search area, where all four ocean models overlapped, was approximately one third the size of the average single model search area. This demonstrates that the consensus search areas provide a more efficient search area compared to individual ocean model search area forecasts.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofpagefrom109
dc.relation.ispartofpageto124
dc.relation.ispartofjournalApplied Ocean Research
dc.relation.ispartofvolume67
dc.subject.fieldofresearchOceanography
dc.subject.fieldofresearchCivil engineering
dc.subject.fieldofresearchResources engineering and extractive metallurgy
dc.subject.fieldofresearchResources engineering and extractive metallurgy not elsewhere classified
dc.subject.fieldofresearchcode3708
dc.subject.fieldofresearchcode4005
dc.subject.fieldofresearchcode4019
dc.subject.fieldofresearchcode401999
dc.titleApplication of leeway drift data to predict the drift of panga skiffs: Case study of maritime search and rescue in the tropical pacific
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.hasfulltextNo Full Text
gro.griffith.authorLemckert, Charles J.
gro.griffith.authorBrushett, Ben A.


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