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OAS accession Detail for 0209357
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Title: A Toolbox for secondary quality control on ocean chemistry and hydrographic data (NCEI Accession 0209357)
Abstract: This dataset contains MatLab files for a Toolbox for secondary quality control (2nd QC) on ocean chemistry and hydrographic data. 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.
Date received: 20200320
Start date: 20000101
End date: 20200301
Seanames: World-Wide Distribution
West boundary: -180
East boundary: 180
North boundary: 90
South boundary: -90
Observation types: chemical, discrete sample, physical, profile
Instrument types: carbon dioxide (CO2) gas analyzer, CTD, Niskin bottle, titrator
Datatypes: CHLOROFLUOROCARBON (CFC), DISSOLVED INORGANIC CARBON (DIC), NUTRIENTS, OXYGEN, partial pressure of carbon dioxide - water, pH, SALINITY, total alkalinity, WATER TEMPERATURE
Submitter: Lauvset, Dr. Siv K.
Submitting institution: University of Bergen
Collecting institutions: Bjerknes Centre for Climate Research, GEOMAR Helmholtz Centre for Ocean Research Kiel
Contributing projects: CLIVAR, GLODAP, GO-SHIP, WOCE
Platforms: UNKNOWN PLATFORMS OF USSR (9099)
Number of observations:
Supplementary information:
Availability date:
Metadata version: 4
Keydate: 2020-03-26 17:24:23+00
Editdate: 2024-07-29 12:34:23+00