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dc.contributor.convenorClem Davisen_US
dc.contributor.authorHughes, Lawrenceen_US
dc.contributor.authorLemckert, Charlesen_US
dc.contributor.authorTomlinson, Rodgeren_US
dc.contributor.authorRichards, Russellen_US
dc.date.accessioned2017-05-03T14:29:47Z
dc.date.available2017-05-03T14:29:47Z
dc.date.issued2009en_US
dc.date.modified2013-06-17T02:49:15Z
dc.identifier.urihttp://hdl.handle.net/10072/31530
dc.description.abstractAbstract The ability of weather, ocean and climate forecasting models to accurately predict climate trends, extremes and variability is dependant on accurate and reliable observations of past integrated Earth Systems. However, accurate, long-term measurements are expensive and the spatial domain needing to be measured is large, which often leads to disparate and fragmented datasets of variable reliability. This paper describes the results and lessons learned from an experimental ocean monitoring station located for a twelve month period on the 20m contour of the inshore shelf of the South East coast of Australia. An overview of the dynamic processes of the ocean and coastal systems that were to be measured are described with illustrations of the subsequent data collection systems developed utilising readily available materials and low cost instrumentation. Generalised additive modeling (GAM) can be used to unify fragmented datasets and give insight into potentially nonlinear relationships occurring within the data. In this paper, the efficacy of using low cost software is demonstrated using GAM techniques to evaluate a year of noisy but repeatable turbidity data culminating in an inverse relationship between turbidity and wave height. The paper concludes with a discussion of the research station's results and lessons learnt to date that have assisted in resolving data accuracy and repeatability issues. This has enabled a reliable long term data base of the past to be established based on medium quality data being recorded utilising low cost instrumentation and software. Recommendations of further work and designs are also described that could be of benefit to researchers worldwide attempting to capture on record a vast and noisy environment with low or limited operating budgets.en_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherNo data provideden_US
dc.relation.ispartofstudentpublicationYen_US
dc.relation.ispartofconferencenameAtmosphere, Oceans, Environment and Societyen_US
dc.relation.ispartofconferencetitleAustralian Meteorological and Oceanographic Society. 17th National Conference.en_US
dc.relation.ispartofdatefrom2010-01-27en_US
dc.relation.ispartofdateto2010-01-29en_US
dc.relation.ispartoflocationCamberraen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchPhysical Oceanographyen_US
dc.subject.fieldofresearchcode040503en_US
dc.titleWays to measure the coastal ocean and establish an accurate and reliable long-term data base on a tight budget.en_US
dc.typeConference outputen_US
dc.type.descriptionE3 - Conference Publications (Extract Paper)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2009
gro.hasfulltextNo Full Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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