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dc.contributor.authorFossum, Trygve Olav
dc.contributor.authorEidsvik, Jo
dc.contributor.authorEllingsen, Ingrid H.
dc.contributor.authorAlver, Morten
dc.contributor.authorFragoso, Glaucia Moreira
dc.contributor.authorJohnsen, Geir
dc.contributor.authormendes, renato
dc.contributor.authorLudvigsen, Martin
dc.contributor.authorRajan, Kanna
dc.identifier.citationWiley online librarynb_NO
dc.description.abstractEfficient sampling of coastal ocean processes, especially mechanisms such as upwelling and internal waves and their influence on primary production, is critical for understanding our changing oceans. Coupling robotic sampling with ocean models provides an effective approach to adaptively sample such features. We present methods that capitalize on information from ocean models and in situ measurements, using Gaussian process modeling and objective functions, allowing sampling efforts to be concentrated to regions with high scientific interest. We demonstrate how to combine and correlate marine data from autonomous underwater vehicles, model forecasts, remote sensing satellite, buoy, and ship‐based measurements, as a means to cross‐validate and improve ocean model accuracy, in addition to resolving upper water‐column interactions. Our work is focused on the west coast of Mid‐Norway where significant influx of Atlantic Water produces a rich and complex physical–biological coupling, which is hard to measure and characterize due to the harsh environmental conditions. Results from both simulation and full‐scale sea trials are presented.nb_NO
dc.description.sponsorshipNansen Legacy Program, Grant/AwardNumber:27272; Senter for Autonome Marine Operasjoner og Systemer,Grant/Award Number: 223254; Norges Forskningsråd,Grant/Award Number: 255303/E40; European Union's Seventh Framework Programme(FP7/2007–2013), Grant/Award Number: 270180nb_NO
dc.publisherWiley Periodicals, Inc.nb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.subjectGaussian processesnb_NO
dc.subjectMarine roboticsnb_NO
dc.subjectOcean modelingnb_NO
dc.subjectOcean samplingnb_NO
dc.subjectRobotic samplingnb_NO
dc.titleInformation-driven robotic sampling in the coastal oceannb_NO
dc.title.alternativeInformation-driven robotic sampling in the coastal oceannb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.rights.holder© The Authors 2018. Journal of Field Robotics published by Wiley Periodicals, Inc.nb_NO
dc.source.journalJournal of Field Roboticsnb_NO
cristin.unitnameMiljø og nye ressurser

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal