dc.contributor.author | Waldmann, Christoph | |
dc.contributor.author | Fischer, Philipp | |
dc.contributor.author | Seitz, Steffen | |
dc.contributor.author | Köllner, Manuela | |
dc.contributor.author | Fischer, Jens-Georg | |
dc.contributor.author | Bergenthal, Markus | |
dc.contributor.author | Brix, Holger | |
dc.contributor.author | Weinreben, Stefan | |
dc.contributor.author | Huber, Robert | |
dc.date.accessioned | 2023-06-26T18:58:17Z | |
dc.date.available | 2023-06-26T18:58:17Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Waldmann, C., Fischer, P., Seitz, S.,
Köllner, M., Fischer, J-G., Bergenthal, M.,
Brix ,H,. Weinreben, S., and Huber, R.
(2022) A methodology to uncertainty
quantification of essential
ocean variables.
Frntiers in Marine Science, 9:1002153, 16pp. DOI: https://doi.org/10.3389/fmars.2022.1002153 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/2299 | |
dc.description.abstract | The goal of this study is to provide a universally applicable procedure for a
systematic evaluation of in situ measured data from single sensors regarding
quantifying the uncertainty of the measurement results. As determining
uncertainty for an environmental parameter also depends on the parameter
itself, the focus here will be set on the variable water temperature in the first
place. A separate analysis for salinity and other data will follow in later
publications. With this first of a series of planned manuscripts on different
parameters, we aim at providing a common understanding of how
measurement uncertainty on single sensor measurements can be derived.
Using an experimental in situ set-up with 6 different standard CTD sensors of
two different brands, we created a four month-long, high-quality data set to be
used to develop a reliable method for quantifying measurement uncertainties.
Although the CTDs were deployed in a mooring in a coastal environment the
described method can be extended to other deployment configurations as
well. The described procedures have evolved as a stepwise process that takes
the different perspectives of the involved authors into account, as well as the
special conditions for environmental measurements, which are collected while
the observed volume/area is undergoing a constant change. By sharing the
ideas with other stakeholders, the basic concept can be extended to other
observing programs and to other essential ocean variables. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Uncertainty quantification | en_US |
dc.subject.other | Essential Ocean Variables (EOV) | en_US |
dc.subject.other | CTD sensors | en_US |
dc.subject.other | Coastal observatory | |
dc.subject.other | Calibration | |
dc.subject.other | Metrology | |
dc.subject.other | Quality control | |
dc.subject.other | Flagging | |
dc.title | A methodology to uncertainty quantification of essential ocean variables. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | 16pp. | en_US |
dc.identifier.doi | https://doi.org/10.3389/fmars.2022.1002153 | |
dc.subject.parameterDiscipline | Other physical oceanographic measurements | en_US |
dc.subject.instrumentType | CTD | en_US |
dc.subject.dmProcesses | Data quality management | en_US |
dc.subject.dmProcesses | Data analysis | en_US |
dc.bibliographicCitation.title | Frontiers in Marine Science | en_US |
dc.bibliographicCitation.volume | 9 | en_US |
dc.bibliographicCitation.issue | Article 1002153 | en_US |
dc.description.sdg | 14.a | en_US |
dc.description.maturitylevel | Pilot or Demonstrated | en_US |
dc.description.adoption | Novel (no adoption outside originators) | en_US |
dc.description.methodologyType | Specification of criteria | en_US |
obps.contact.contactname | Christoph Waldmann | |
obps.contact.contactemail | waldmann@uni-bremen.de | |
obps.resourceurl.publisher | https://www.frontiersin.org/articles/10.3389/fmars.2022.1002153/full | |