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contributor authorAmador, André;Jaramillo, Sergio;Pawlak, Geno
date accessioned2018-01-03T10:59:48Z
date available2018-01-03T10:59:48Z
date copyright7/20/2017 12:00:00 AM
date issued2017
identifier otherjtech-d-16-0182.1.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245816
description abstractAbstractA theoretical model is developed to describe how autonomous underwater vehicle (AUV)-based current measurements are influenced by a surface wave field. The model quantifies a quasi-Lagrangian, wave-induced velocity bias as a function of the local wave conditions, and the vehicle?s depth and velocity using a first-order expansion of the linear wave solution. The theoretical bias is verified via field experiments carried out off the coast of Oahu, Hawaii. Spatially averaged along- and cross-track AUV velocity measurements are calculated over one effective wavelength and compared with time-averaged, fixed ADCP measurements in a range of wave and current conditions. The wave-induced bias is calculated using wave directional spectra derived from fixed ADCP data. Ensemble-averaged velocity differences confirm the presence of the wave-induced bias O(1?5) cm s?1 and reveal an additional bias in the direction of the vehicle motion O(1) cm s?1. The analysis considers velocity measurements made using a Remote Environmental Monitoring Units (REMUS) 100 AUV, but the content applies to any small AUV (vehicle size wavelength) immersed in a wave field.
publisherAmerican Meteorological Society
typeJournal Paper
journal volume34
journal issue9
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-16-0182.1
journal fristpage2029
journal lastpage2042
treeJournal of Atmospheric and Oceanic Technology:;2017:;volume( 034 ):;issue: 009
contenttypeFulltext


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