Uncertainty Quantification Use Case: Moored Temperature Sensor Measurement Uncertainty.
Average rating
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Date
2019Author
Seitz, Steffen
Waldmann, Christoph
Buckley, Earle
Bushnell, Mark
Status
Published
Metadata
Show full item recordAbstract
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......
Journal
Frontiers in Marine ScienceVolume
6Issue
Article 706Page Range
Supplemental Material, pp.10-29.Document Language
enSustainable Development Goals (SDG)
14.AEssential Ocean Variables (EOV)
Subsurface temperatureMaturity Level
TRL 9 Actual system "mission proven" through successful mission operations (ground or space)Best Practice Type
Manual (incl. handbook, guide, cookbook etc)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.2019.00706Collections
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