Estimating Uncertainties in Oceanographic Trace Element Measurements.
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Worsfold, Paul J.
Achterberg, Eric P.
Birchill, Antony J.
Lohan, Maeve C.
Ussher, Simon J.
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A realistic estimation of uncertainty is an essential requirement for all analytical measurements. It is common practice, however, for the uncertainty estimate of a chemical measurement to be based on the instrumental precision associated with the analysis of a single or multiple samples, which can lead to underestimation. Within the context of chemical oceanography such an underestimation of uncertainty could lead to an over interpretation of the result(s) and hence impact on, e.g., studies of biogeochemical cycles, and the outputs from oceanographic models. Getting high quality observational data with a firm uncertainty assessment is therefore essential for proper model validation. This paper describes and compares two recommended approaches that can give a more holistic assessment of the uncertainty associated with such measurements, referred to here as the “bottom up” or modeling approach and the “top down” or empirical approach. “Best practice” recommendations for the .....
JournalFrontiers in Marine Science
Sustainable Development Goals (SDG)14.A
Maturity LevelTRL 8 Actual system completed and "mission qualified" through test and demonstration in an operational environment (ground or space)
Best Practice TypeManual (incl. handbook, guide, cookbook etc)
CitationWorsfold, P.J.; Achterberg, E.P.; Birchill, A.J.; Clough, R.; Leito, I.; Lohan, M.C.; Milne, A, and Ussher, S.J. (2019) Estimating Uncertainties in Oceanographic Trace Element Measurements. Frontiers in Marine Science, 5:515, 9pp. DOI: 10.3389/fmars.2018.00515
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