dc.contributor.author | Seitz, Steffen | |
dc.contributor.author | Waldmann, Christoph | |
dc.contributor.author | Buckley, Earle | |
dc.contributor.author | Bushnell, Mark | |
dc.date.accessioned | 2021-02-19T00:42:55Z | |
dc.date.available | 2021-02-19T00:42:55Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Seitz, 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.2019.00706 | en_US |
dc.identifier.uri | http://hdl.handle.net/11329/1515 | |
dc.identifier.uri | http://dx.doi.org/10.25607/OBP-1015 | |
dc.description.abstract | The 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.iso | en | en_US |
dc.rights | CC0 1.0 Universal | * |
dc.rights.uri | http://creativecommons.org/publicdomain/zero/1.0/ | * |
dc.subject.other | Uncertainty quantification | en_US |
dc.title | Uncertainty Quantification Use Case: Moored Temperature Sensor Measurement Uncertainty. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.status | Published | en_US |
dc.format.pagerange | Supplemental Material, pp.10-29. | |
dc.subject.parameterDiscipline | Parameter Discipline::Physical oceanography | en_US |
dc.subject.instrumentType | Instrument Type Vocabulary::water temperature sensor | en_US |
dc.subject.dmProcesses | Data Management Practices::Data quality management | en_US |
dc.description.currentstatus | Current | en_US |
dc.bibliographicCitation.title | Frontiers in Marine Science | |
dc.bibliographicCitation.volume | 6 | |
dc.bibliographicCitation.issue | Article 706 | |
dc.description.sdg | 14.A | en_US |
dc.description.eov | Subsurface temperature | en_US |
dc.description.maturitylevel | TRL 9 Actual system "mission proven" through successful mission operations (ground or space) | en_US |
dc.description.bptype | Manual (incl. handbook, guide, cookbook etc) | en_US |
obps.contact.contactemail | Steffen.Seitz@ptb.de | |
obps.resourceurl.publisher | https://www.frontiersin.org/articles/10.3389/fmars.2019.00706/full | |