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Manual for Real-Time Quality Control of Dissolved Oxygen Observation : A Guide to Quality Control and Quality Assurance for Dissiolved Oxygen Observations in Coastal Oceans
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    High quality marine observations required sustained quality assurance (QA) and quality control (QC) practices to ensure credibility and value to operators and users. QA practices involve processes that are employed with hardware to support the generation of high quality data, such as a sufficiently accurate, precise, and reliable sensor with adequate resolution. Practices such as sensor calibration, calibration checks, and/or in-situ verification, including post deployment calibration; proper deployment considerations, such as measures for corrosion control and anti-fouling, solid data communications; adequate maintenance intervals; and creation of a robust quality control process are also part of QA. QC involves follow-on steps that support the delivery of high quality data and requires both automation and human intervention. QC practices include such things as format, checksum, timely arrival of data, threshold checks (minimum/maximum rate of change), neighbor checks, climatology checks, model comparisons, signal/noise ratios, verification of user satisfaction, and generation of data flags (Bushnell 2005).
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