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dc.contributor.authorDurand, F.
dc.contributor.authorReverdin, G.
dc.date.accessioned2008-02-22T06:39:47Z
dc.date.available2008-02-22T06:39:47Z
dc.date.issued2005
dc.identifier.citationJournal of atmospheric and ocean Technology, Vol.22; 292-301p.
dc.identifier.otherno
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/1025
dc.description.abstractThe Profiling Autonomous Lagrangian Circulation Explorer (PALACE) float is used to implement the Array for Real-Time Geostrophic Oceanography (ARGO). This study presents a statistical approach to correct salinity measurement errors of an ARGO-type fleet of PALACE floats. The focus is on slowly evolving drifts (typically with time scales longer than a few weeks). Considered for this case study is an ensemble of about 80 floats in the Irminger and Labrador Seas, during the 1996-97 periods. Two different algorithms were implemented and validated based on float-to-float data comparison at depth, where the water masses are relatively stable over the time scales of interest. The first algorithm is based upon objective analysis of the float data, while the second consists of a least squares adjustment of the data of the various floats. The authors' method exhibits good skills to retrieve the proper hydrological structure of the case study area. It significantly improves the consistency of the PALACE dataset with in situ data as well as with satellite altimetric data. As such, the method is readily usable on a near-real time basis, as required by the ARGO project.
dc.language.isoen
dc.publisherAmerican Meteorological Society
dc.rightsCopyright [2005]. It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice by copyright holder that the rights are voilated then the item would be withdrawn.
dc.subjectsalinity measurements
dc.subjectsalinity measuring equipment
dc.subjectmeteorological observations
dc.subjectCTD profilers
dc.subjectoceanographic equipment
dc.subjectdrifters
dc.subjectperformance assessment
dc.subjectstatistical analysis
dc.titleA statistical method for correcting salinity observations from autonomous profiling floats: An ARGO perspective
dc.typeJournal Article


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