Matlab Toolbox to Perform Secondary Quality Control (2nd QC) on Hydrographic Data

Tanhua, Toste (2010) Matlab Toolbox to Perform Secondary Quality Control (2nd QC) on Hydrographic Data Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy, Oak Ridge, Tennessee, USA.

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Abstract

Secondary quality control is a process in which data are objectively studied to quantify systematic biases in the measurements. The identified data biases are subjectively compared to predetermined accuracy limits. If the data from the cruise being analyzed show significant bias, this may indicate that an adjustment (either multiplicative or additive) needs to be made to the data, or that there is a systematic problem in the data generation or calibration. It is not recommended that data be adjusted solely on the basis of a secondary QC, but rather that it be stated in the meta-data that there may be a bias and why. At best, the source of the bias will be identified (for example, a problem with the standard used) and corrected.
Using this package allows crossover analysis to be performed. Crossover analysis is an objective comparison of deep water data from one cruise with data from other cruises in the same area (e.g., Sabine et al. 1999, Gouretski and Jancke 2001, Johnson et al. 2001, Sabine et al. 2005, Tanhua et al., 2010, see also http://cdiac.esd.ornl.gov/oceans/glodap/crossover.html). The scripts in this package are modified versions of the scripts used by the CARINA project; see Tanhua et al. 2010for more information. An extract of that information is given below.

Document Type: Other
Keywords: Data Processing; MATLAB Tool; Software; Hydrographic Data
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-CH Chemical Oceanography
Refereed: No
DOI etc.: 10.3334/CDIAC/otg.CDIAC_158
Date Deposited: 01 Dec 2010 09:48
Last Modified: 31 Jan 2017 13:26
URI: http://eprints.uni-kiel.de/id/eprint/10271

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