Ocean Chemistry and Hydrographic Data Quality Control Toolbox

MatLab files provide a toolbox for secondary quality control on ocean chemistry and hydrographic data using crossover analysis. The toolbox was developed by NOAA_NCEI and last updated in March 2020. It is intended for sea-going scientists to assess measurement bias during expeditions or for post-cruise data adjustment.

Use Cases

• Perform crossover analysis on hydrographic variables like salinity and temperature to identify measurement bias.
• Apply secondary quality control to chemical property data, such as nutrient concentrations, to ensure consistency with regional historical measurements.
• Use the toolbox's implemented methods to adjust cruise-collected ocean chemistry data for model validation purposes.
• Assess potential instrument bias in real-time or post-cruise for physical seawater properties documented in the data.

Strengths

• Toolbox is designed for a specific, documented method: crossover analysis for secondary quality control.
• Developed by the authoritative NOAA National Centers for Environmental Information (NCEI).
• Last update was provided on March 1, 2020, indicating a defined snapshot.

Limitations

• The dataset consists of software code (MatLab files), not a primary observational dataset, limiting direct analysis of ocean variables.
• Specific data volume (rows, columns), file formats, and input data requirements for the toolbox are unknown.
• Tool utility is dependent on the availability and format of user-provided oceanographic data for crossover analysis.

Provenance

Source

NOAA National Centers for Environmental Information (NCEI Accession 0209357).

Collection Method

Toolbox development and documentation for performing secondary quality control via crossover analysis.

Freshness

Last updated 2020-03-01.