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dc.contributor.authorSeitz, Steffen
dc.contributor.authorWaldmann, Christoph
dc.contributor.authorBuckley, Earle
dc.contributor.authorBushnell, Mark
dc.date.accessioned2021-02-19T00:42:55Z
dc.date.available2021-02-19T00:42:55Z
dc.date.issued2019
dc.identifier.citationSeitz, S.; Waldmann, C.; Buckley, E. and Bushnell, M. (2019) Uncertainty Quantification Use Case: Moored Temperature Sensor Measurement Uncertainty. Frontiers in Marine Science, 6:706, Supplemental Material pp,10-29. DOI: 10.3389/fmars.2019.00706en_US
dc.identifier.urihttp://hdl.handle.net/11329/1515
dc.identifier.urihttp://dx.doi.org/10.25607/OBP-1015
dc.description.abstractThe oceanographic community acknowledges the need to better quantify the uncertainty of their measurements, but such quantifications are daunting. Requests for examples are often heard (Simpson, 2021). This example is extracted from the supplemental material of Bushnell et al., 2019. It is presented here as an exemplar for communities striving to create better expressions of uncertainty quantification. It has been edited slightly in order to improve presentation as a stand-alone use case. In such endeavors clarity is critical, so the example begins with well-defined terminology (Bell, 1999; EUROLAB, 2006; BIPM, 2008). The discussion of two approaches to estimation of uncertainty follows, which then leads to the very specific details provided by this example. Propagation of uncertainty into derived values, standard uncertainties of common probability distributions, and the impacts of correlations are also addressed.en_US
dc.language.isoenen_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.subject.otherUncertainty quantificationen_US
dc.titleUncertainty Quantification Use Case: Moored Temperature Sensor Measurement Uncertainty.en_US
dc.typeJournal Contributionen_US
dc.description.statusPublisheden_US
dc.format.pagerangeSupplemental Material, pp.10-29.
dc.subject.parameterDisciplineParameter Discipline::Physical oceanographyen_US
dc.subject.instrumentTypeInstrument Type Vocabulary::water temperature sensoren_US
dc.subject.dmProcessesData Management Practices::Data quality managementen_US
dc.description.currentstatusCurrenten_US
dc.bibliographicCitation.titleFrontiers in Marine Science
dc.bibliographicCitation.volume6
dc.bibliographicCitation.issueArticle 706
dc.description.sdg14.Aen_US
dc.description.eovSubsurface temperatureen_US
dc.description.maturitylevelTRL 9 Actual system "mission proven" through successful mission operations (ground or space)en_US
dc.description.bptypeManual (incl. handbook, guide, cookbook etc)en_US
obps.contact.contactemailSteffen.Seitz@ptb.de
obps.resourceurl.publisherhttps://www.frontiersin.org/articles/10.3389/fmars.2019.00706/full


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CC0 1.0 Universal
Except where otherwise noted, this item's license is described as CC0 1.0 Universal