dc.contributor.author | Lauvset, Siv K. | |
dc.contributor.author | Tanhua, Toste | |
dc.date.accessioned | 2023-08-30T18:35:13Z | |
dc.date.available | 2023-08-30T18:35:13Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Lauvset, S.K. and Tanhua, T. (2015) A toolbox for secondary quality control on ocean chemistry and hydrographic data. Limnology and Oceanography: Methods, 13, pp.601-608. DOI: https://doi.org/10.1002/lom3.10050 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/2370 | |
dc.description.abstract | High quality, reference measurements of chemical and physical properties of seawater are of great importance
for a wide research community, including the need to validate models and attempts to quantify spatial
and temporal variability. Whereas data precision has been improved by technological advances, the data
accuracy has improved mainly by the use of certified reference materials (CRMs). However, since CRMs are
not available for all variables, and use of CRMs does not guarantee bias-free data, we here present a recently
developed Matlab toolbox for performing so-called secondary quality control on oceanographic data by the
use of crossover analysis. This method and how it has been implemented in this toolbox is described in
detail. This toolbox is developed mainly for use by sea-going scientists as a tool for quickly assessing possible
bias in the measurements that can—hopefully—be remedied during the expedition, but also for possible
post-cruise adjustment of data to be consistent with previous measurements in the region. The toolbox, and
reference data, can be downloaded from the Carbon Dioxide Information Analysis Center (CDIAC): http://
cdiac.ornl.gov/ftp/oceans/2nd_QC_Tool_V2/. | 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 | Certified reference materials (CRM) | en_US |
dc.subject.other | MatLab toolbox | en_US |
dc.title | A toolbox for secondary quality control on ocean chemistry and hydrographic data. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | pp.601-608 | en_US |
dc.identifier.doi | https://doi.org/10.1002/lom3.10050 | |
dc.subject.parameterDiscipline | Chemical oceanography | en_US |
dc.subject.dmProcesses | Data quality control | en_US |
dc.bibliographicCitation.title | Limnology and Oceangraphy: Methods | en_US |
dc.bibliographicCitation.volume | 13 | en_US |
dc.description.sdg | 14.a | en_US |
dc.description.maturitylevel | Mature | en_US |
dc.description.adoption | Multi-organisational | en_US |
dc.description.methodologyType | Method | en_US |
obps.contact.contactname | Siv Lauvset | |
obps.contact.contactemail | siv.lauvset@uib.no | |
obps.resourceurl.publisher | https://aslopubs.onlinelibrary.wiley.com/doi/full/10.1002/lom3.10050 | |